Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：INT FORUM EDUCATIONAL TECHNOLOGY & SOC, NATL TAIWAN NORMAL UNIV  

Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to solve this problem by utilizing the learning analytics (LA) framework. We proposed a learning analytics framework based on human-centered Artificial Intelligence (AI) and emphasized its analysis result application step, highlighting the function of this step to transform the analysis results into the most suitable application strategy. To this end, we first integrated evidence-driven education for precise AI analytics and application, which is one of the core ideas of human-centered AI (HAI), into the framework design for its analysis result application step. In addition, a cognitive load test was included in the design. Second, to verify the effectiveness of the proposed framework and application strategy, two independent experiments were carried out, while machine learning and statistical data analysis tools were used to analyze the emerging data. Finally, the results of the first experiment revealed a learning strategy that best matched the analysis results through the application step in the framework. Further, we conclude that students who applied the learning strategy achieved better learning results in the second experiment. Specifically, the second experimental results also show that there was no burden on cognitive load for the students who applied the learning strategy, in comparison with those who did not.

DOI： 10.30191/ETS.202301_26(1).0010

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)   Publisher：ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD  

This review study investigates the appropriation of sensing technology in context-aware ubiquitous learning (CAUL) in the fields of sciences, engineering, and humanities. 40 empirical studies with concrete learning outcomes across mandatory and higher education have been systematically reviewed and thematically analyzed with an outcomes-based teaching and learning approach. Four derived themes have been found to describe the design and implementation of CAUL, including learner-centeredness, technological facilitation, learning ecology, and research evaluation. The learning processes enabled by context-aware sensing technology have been explicated, revealing specific ways to apply new technologies in formal and informal environments. The analysis based on intended learning outcomes suggest that more efforts should be directed to fostering competence in analyzing and creating in mandatory education, and to creating in tertiary settings. Finally, unequal distribution of CAUL implementation across world regions calls for more technological appropriation in Southeast Asia and Africa. Specific suggestions on how to improve CAUL are also provided to better prepare learners in the twenty-first century.

DOI： 10.1080/10494820.2019.1703012

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Language：English   Publishing type：Research paper (scientific journal)  

Educational data mining for discovering hidden browsing patterns using non-negative matrix factorization
This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically hides the texts in the digital textbooks with mask processing before the learners browse the texts in the digital textbooks. If they click the hidden texts, the system gets rid of the masks and the texts appear letter by letter. We used NMF to discover learners’ browsing patterns from the collected logs. Evaluation experiments were conducted to examine the effectiveness of our system in terms of fascination, understandableness and enhancement of thinking and to discover learners’ browsing patterns. It was found that our method could enhance thinking skills. A browsing pattern of diligent learners with high learning achievements was also found.

DOI： 10.1080/10494820.2019.1619594

Language：English   Publishing type：Research paper (scientific journal)  

Social learning theory posits that learning is most effective when providing learners with opportunities to observe and interact with peers. Unfortunately, current K-12 programming education overemphasizes individual learning and discourages learners from observing and interacting with others. The Scratch online community provides youth opportunities to actively participate in the community by allowing them to observe and interact with others. However, it is unclear what motivates learners' active participation in the Scratch online community. With a large-scale database with more than two hundred thousand Scratch projects, this study explored the impact of the computational thinking reflected in Scratch projects on users' participation. We examined Scratch's online users' computational thinking profile via clustering analysis on the projects they created, then studied the influence of computational thinking level reflected in projects on the users' participation through causal analysis. The clustering analysis revealed three clusters of learners, and the advanced learners did not create more projects than others but their projects attract more participation from peers. Our statistic analysis finds a low to moderate strength of correlation between the computational thinking level reflected in projects and their popularity. However, the further causal analysis suggests that the computational thinking level reflected in projects fails to causally affect learners' participation. Our results suggest that instructors should not only attach importance to the development of basic CT skills of youth but also do well to find ways to get youth to participate actively in social interaction activity during the programming process.

DOI： 10.1007/s11423-021-10021-8

Language：English   Publishing type：Research paper (scientific journal)  

An automatic quiz generation system utilizing digital textbook logs
This paper describes an automatic quiz generation system designed to support language learning that utilizes digital textbook logs. Learners often memorize words in digital textbooks while preparing for an examination, and they often use the highlight function for the words. Previous studies regarding annotations and highlights have shown that learning only by using the highlight function on important content in textbooks did not affect learning achievements. Therefore, in this study, we developed a system that can support the repeated learning by analyzing digital textbook logs and providing appropriate quizzes. An evaluation experiment involving 31 international students was conducted to assess whether the quizzes provided by our proposed system are able to enhance the learning achievements as compared to teacher-created quizzes. The results show that the quizzes by our proposed system and the teacher-created quizzes were both equally effective. A correlation analysis was conducted to identify the correlation among the learning achievements, the number of quizzes, and each variable in questionnaires. We found that there is a positive correlation between the number of quizzes and the students’ learning achievements.

DOI： 10.1080/10494820.2019.1620291

Language：English   Publishing type：Research paper (scientific journal)  

A Result Confirmation-based Learning Behavior Analysis Framework for Exploring the Hidden Reasons behind Patterns and Strategies
Educational data mining and learning analytics have become a very important topic in the field of education technology. Many frameworks have been proposed for learning analytics which make it possible to identify learning behavior patterns or strategies. However, it is difficult to understand the reason why behavior patterns occur and why certain strategies are used. In other words, all of the existing frameworks lack an important step, that is, result confirmation. In this paper, we propose a Result Confirmation-based Learning Behavior Analysis (ReCoLBA) framework, which adds a result confirmation step for exploring the hidden reasons underlying the learning patterns and strategies. Using this ReCoLBA framework, a case study was conducted which analyzed e-book reading data. In the case study, we found that the students had a tendency to delete markers after adding them. Through an investigation, we found that the students did this because they could not grasp the learning emphasis. To apply this finding, we proposed a learning strategy whereby the teacher highlights the learning emphasis before students read the learning materials. An experiment was conducted to examine the effectiveness of this strategy, and we found that it could indeed help students achieve better results, reduce repetitive behaviors and save time. The framework was therefore shown to be effective.

Language：English   Publishing type：Research paper (scientific journal)  

Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing models that can exploit the problem-solving process data generated by learners from a single programming task. A novel metric, the approaching index, was developed using the tree edit distance in abstract syntax trees to measure the similarities between the learners' intermediate solutions and the optimal solution. The proposed method allows for each learner's programming path to be represented as a raw approaching index sequence (AISeq) or as a single variable (AIScore) by averaging the AISeq. A logistic regression model was first designed to predict the learners' performances using their AIScore, the number of attempts, and their current performance. A second model, a recurrent neural network model, was also developed to directly use the AISeq and to make predictions. To verify the effectiveness of these models, a series of statistical analyses and experiments were conducted on two existing large-scale block-based programming datasets, the results from which revealed that the proposed models were competitive with four state-of-the-art models on multiple metrics, such as the precision-recall curve, accuracy, specificity, and Cohen's Kappa. Especially, the proposed models were found to be more robust than the compared models in predicting who would fail to complete the tasks.

DOI： 10.1109/TLT.2020.3032980

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/10494820.2019.1635395

Language：English   Publishing type：Research paper (scientific journal)  

Predicting students’ academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model, the reason which affected the performance of the model was overlooked. This study collected seven datasets within three universities located in Taiwan and Japan and listed performance metrics of risk identification model after fed data into eight classification methods. U1, U2, and U3 were used to denote the three universities, which have three, two, and two cases of datasets (learning logs), respectively. According to the results of this study, the factors influencing the predictive performance of classification methods are the number of significant features, the number of categories of significant features, and Spearman correlation coefficient values. In U1 dataset case 1.3 and U2 dataset case 2.2, the numbers of significant features, numbers of categories of significant features, and Spearman correlation coefficient values for significant features were all relatively high, which is the main reason why these datasets were able to perform classification with high predictive ability.

DOI： 10.1080/10494820.2019.1636086

Language：English   Publishing type：Research paper (scientific journal)  

Effect of gender differences on 3-on-3 basketball games taught in a mobile flipped classroom
Physical education emphasizes learning sports skills, which is why it is usually conducted in a face-to-face manner. Instructors focus on explaining rules and demonstrating moves, which the learners are required to repeat and imitate. Flipped classrooms have become a trend; thus, the present study investigated their influence on physical education. A mobile application for novice and advanced basketball players was developed and tested in a course teaching 3-on-3 basketball and various teaching methods were implemented to test for the effects of gender differences on learning outcome. The participants were students enrolled in the aforementioned course in a university in central Taiwan. 326 participants were included in the study, of whom 238 were male and 88 were female. The duration of the experiment was 5 weeks between May and June 2017, during which the correctness of moves, maneuverability, teamwork, sense of balance, and adaptability of the participants were evaluated and graded as their learning outcome. The research team observed the participants each week to gather empirical data for analysis. The results indicate that a mobile flipped classroom is the optimal teaching strategy, followed by projecting teaching; therefore, a mobile flipped classroom is the recommended approach to be integrated into physical education.

DOI： 10.1080/10494820.2018.1495652

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/10494820.2019.1667150

Language：English   Publishing type：Research paper (scientific journal)  

The flipped classroom pedagogy has been widely used recently. Despite many researches have paid attention with the learning outcome of flipped classroom, there has been limited attention in regard to investigate the relationship between learning behavior and learning outcomes in a flipped classroom. In this paper, we proposed to investigate the influence of online learning behaviors on short-term and long-term learning outcomes in a flipped classroom. This study used Calculus and grade point average (GPA) scores to represent short-term and long-term learning outcomes, respectively. Multiple linear regression indicated that students’ online learning behavior does not have a significant effect on short-term learning outcomes, but has a significant effect on long-term learning outcomes. For applying multiple correspondence analysis, students were divided into groups according to five grade levels based on their scores. According to GPA grade level, students’ online learning behaviors had a significant effect on long-term learning outcomes for the five groups (GPAa, GPAb, GPAc, GPAd, GPAe). According to their Calculus grade level, students’ online learning behaviors had a significant effect on short-term learning outcomes for three groups (CALa, CALd, and CALe), but two groups (CALb and CALc) did not demonstrate this trend. For exploring the effects of online learning behaviors on future learning outcomes, GPA can be considered representative because the GPA was calculated for the entire academic year 2015. Students in the CALa group exhibited the highest frequency of online learning behaviors and obtained the highest GPA grade levels (GPAa and GPAb). For the CALb, CALc, CALd, and CALe groups, students with a higher frequency of online learning behaviors obtained a higher GPA grade level. These results indicate that students’ online learning behaviors have a positive effect on future learning outcomes.

DOI： 10.1080/10494820.2018.1522651

Language：English   Publishing type：Research paper (scientific journal)  

Exploring the Relationships between Reading Behavior Patterns and Learning Outcomes Based on Log Data from E-Books: A Human Factor Approach
Online learning environments presently accumulate large amounts of log data. Analysis of learning behaviors from these log data is expected to benefit instructors and learners. This study was intended to identify effective measures from e-book materials used at Kyushu University and to employ these measures for analyzing learning behavioral patterns. In an evaluation, students were grouped into four clusters using k-means clustering, and their learning behavioral patterns were analyzed. We examined whether the learning behavioral patterns exhibited relations with the learning outcomes. The results reveal that the learning behavior of “backtrack” style reading exerts a significant positive influence on learning effectiveness, which can aid students to learn more efficiently.

DOI： 10.1080/10447318.2018.1543077

Language：English   Publishing type：Research paper (scientific journal)  

Analyzing learning patterns based on log data from digital textbooks
The analysis of learning behaviors from the log data of digital textbooks is beneficial for improving education systems. The focus of discussion in any analysis of learning behaviors is often on discovering the relationships between learning behavior and learning performance. However, little attention has been paid to investigating and analyzing learning patterns or rules among learning style of index (LSI), cognitive style of index (CSI), and the logs of digital textbooks. In this study, the authors proposed a method to analyze learning patterns or rules of reading digital textbooks. The analysis method used association analysis with the Apriori algorithm. The analysis was conducted using logs of digital textbooks and questionnaires to investigate students' learning and cognitive styles. From the detected meaningful association rules, this study found three student types: poorly motivated, efficient, and diligent. The authors believe that consideration of these student types can contribute to the improvement of learning and teaching.

DOI： 10.4018/IJDET.2019010101

Language：English   Publishing type：Research paper (scientific journal)  

Roles and strategies of learning analytics in the e-publication era
E-books have been introduced to educational institutions in many countries. The use of e-books in traditional classrooms enables the recording of learning logs. Recently, researchers have begun to carry out learning analytics on the learning logs of e-books. However, there has been limited attention devoted to understanding the types of learning strategies that students employ when they read e-books. In this paper, using e-book learning logs, we examine the learning strategies that students employed when reading e-books. In this paper, we will introduce how to identify learning strategies from e-book learning logs with two case studies. One is "Identifying Learning Strategies Using Clustering" and the other is "Examining Learning Strategies Using Sequential Analysis.".

Language：English   Publishing type：Research paper (scientific journal)  

Special Issue on Trends and Research Issues of Emerging Technologies to Enhance Learning

Language：English   Publishing type：Research paper (scientific journal)  

This paper is an extension of research originally reported in [1]. Here, we propose a novel method for summarizing lecture slides to enhance students' preview efficiency and understanding of the content. Students are often asked to prepare for a class by reading lecture materials. However, because the attention span of students is limited, this is not always beneficial. We surveyed 326 students regarding the preview of lecture materials, revealing a preference for summarized materials to preview. Therefore, we developed an automatic summarization method for condensing original lecture materials into a summarized set. Our proposed approach utilizes image and text processing to extract important pages from lecture materials, optimizing selection of pages in accordance with a specified preview time. We applied the proposed summarization method to a set of lecture slides. In an experiment with 372 students, we compared the effectiveness of the summarized slides and the original materials in terms of quiz scores, preview achievement ratio, and time spent previewing. We found that students who previewed the summarized slides achieved better scores on pre-lecture quizzes, even though they spent less time previewing the material.

DOI： 10.1109/TLT.2017.2682086

Language：English   Publishing type：Research paper (scientific journal)  

Learning Japanese Beyond the Classroom: Recommended CALL Tools

Language：English   Publishing type：Research paper (scientific journal)  

An SNS-based model for finding collaborative partners
This paper proposes a model, Recommendation of Appropriate Partners (RAP), used on a Social Networking Service (SNS) for locating appropriate “helpers” for users based on individual users’ Chain of Friends (CoF) relationships. Using the RAP model, individual users can participate in a collaborative online community in remote locations, whereby helpers are willing to help other users solve their tasks/problems, and it is intended that both the users and helpers gain knowledge from these interactive online sessions. An example of the RAP-based system was implemented to invite Program Committee members to an international conference. The system was evaluated and the experimental results show that our model is very effective for discovering collaboration partners and finding users with similar interests in order to create communities for providing future and longer-term helping exchange.

DOI： 10.1007/s11042-015-2480-1

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/10494820.2017.1287338

Language：Japanese  

Analyses of learning behavior of active learners using logs of digital teaching materials
Since April 2013, Kyushu University has stated Kikan Education for cultivating "active learners" for first year students.They have to bring their own PC in their classroom and use the educational platform system called M2B system that consists of Moodle, Mahara and Booklooper. BookLooper is an application for viewing digital teaching materials like PowerPoint slides and it can record their actions such as next page, previous page, and underline. This paper describes how active learners are actively using BookLooper by analyzing their learning behaviors.

DOI： 10.15017/1650901

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/10494820.2014.998863

Language：English   Publishing type：Research paper (scientific journal)  

Special Issue on: "Technology-Transformed Learning: Reflections and Future Research Agendas"

Language：English   Publishing type：Research paper (scientific journal)  

With the popularity of the Internet, online searching is becoming an important part of learning. In this paper, based on the “Learning by Searching” theory, a learning environment is developed, which includes a search engine to assist students in recognizing the progression of trends and keyword transitions for specific domains. To efficiently support research trend surveys, an automatic data accumulation and classification approach is proposed to construct the database excerpts instead of manual keyword registration or any other heuristic preprocesses. With an associative search module, the search engine dynamically searches for relevant words that are frequently used in the targeted academic field, and provides learners with effective visualizations to understand the trend transitions. An experiment has been conducted on a college information management course to show the effectiveness of the proposed approach. The experiment results show that the students who learned with the new approach had significantly better learning performance in terms of recognizing the trend transitions of the targeted issues than those who learned with conventional search engines.

Language：English   Publishing type：Research paper (scientific journal)  

This paper proposes a conceptual framework – SPSML (Scaffolding Participatory Simulation for Mobile Learning), used on mobile devices for helping students learn conceptual knowledge in the classroom. The framework adopts an experiential learning model as the pedagogical design which consists of five sequential but cyclic steps: the initial stage, concrete experience, observe and reflect, abstract conceptualization and testing in new situations. Goal-based and scaffolding approaches to participatory simulations are integrated into the design to enhance students’ experiential learning. Using the SPSML framework, the students can experience : 1) learning in augmented reality by playing different participatory roles in mobile simulations in the micro-world on the mobile device, and 2) interacting with people in the real world to enhance understandings of conceptual knowledge. An instance of the SPSML-based system was implemented and evaluated. The experimental results show that the system was conducive to the students’ experiential learning and motivation; moreover, the students who learned with the proposed approach gained significantly higher accuracy rates in performing the more complicated sorting algorithm.

Language：English   Publishing type：Research paper (scientific journal)  

This paper proposes a conceptual framework, scaffolding participatory simulation for mobile learning (SPSML), used on mobile devices for helping students learn conceptual knowledge in the classroom. As the pedagogical design, the framework adopts an experiential learning model, which consists of five sequential but cyclic steps: the initial stage, concrete experience, observation and reflection, abstract conceptualization, and testing in new situations. Goal-based and scaffolding approaches to participatory simulations are integrated into the design to enhance students' experiential learning. Using the SPSML framework, students can experience the following: (1) learning in augmented reality by playing different participatory roles in mobile simulations in the micro-world on a mobile device, and (2) interacting with people in the real world to enhance understanding of conceptual knowledge. An example of the SPSML-based system was implemented and evaluated. The experimental results show that the system was conducive to the students' experiential learning and motivation. Moreover, the students who learned with the proposed approach gained significantly higher accuracy rates in performing the more complicated sorting algorithm.

Language：English   Publishing type：Research paper (scientific journal)  

In order to help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, we have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers, research groups, keywords), and also 3) providing analytical information relating to past and current research trends in a particular field. Our CTSE system employs data-processing technologies and emphasizes the use of a "Learn by Searching" learning strategy to support students to analyze such research trends. To show the effectiveness of CTSE, a pilot experiment has been conducted, where participants were assigned to do research survey tasks and then answer a questionnaire regarding the effectiveness and usability of the system. The results showed that the system has been helpful to students in conducting research surveys, and the research trend transitions that our system presented were effective for producing research trend surveys. Moreover, the results showed that most students had favorable attitudes toward the usage and usability of the system, and those students were satisfied in gaining more know ledge in a particular research field in a short period of time.

Language：English   Publishing type：Research paper (scientific journal)  

To help researchers in building a knowledge foundation of their research fields which could be a timeconsuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers, research groups, keywords), and also 3) providing analytical information relating to past and current research trends in a particular field. Their CTSE system employs data-processing technologies and emphasizes the use of a "Learn by Searching" learning strategy to support students to analyze such research trends. To show the effectiveness of CTSE, a pilot experiment has been conducted, where participants were assigned to do research survey tasks and then answer a questionnaire regarding the effectiveness and usability of the system. The results showed that the system has been helpful to students in conducting research surveys, and the research trend transitions that our system presented were effective for producing research trend surveys. Moreover, the results showed that most students had favorable attitudes toward the usage and usability of the system, and those students were satisfied in gaining more know ledge in a particular research field in a short period. Copyright © 2013, IGI Global.

DOI： 10.4018/jdet.2013010103

Language：English   Publishing type：Research paper (scientific journal)  

In traditional classes, having many questions from learners is important because these questions indicate difficult points for learners and for teachers. This paper proposes a FAQ-based e-Learning environment to support Japanese language learning that focuses on learner questions. This knowledge sharing system enables learners to interact and share information and knowledge through FAQ and e-mail. Teachers contribute answers to discussion among learners. The system also allows learners to discuss and collaborate, stimulating their motivation to study Japanese as a foreign language. All questions are stored in a FAQ database, allowing other learners to reuse resources, helping learners learn by themselves and reduce teacher workloads. Copyright © 2011, IGI Global.

DOI： 10.4018/jdet.2011070104

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Participatory Simulation Framework to Support Learning Computer Science, International Journal of Mobile Learning and Organisation, Vol.1, No.3, pp.288-304, 2007.

Language：English   Publishing type：Research paper (scientific journal)  

JAPELAS: Supporting Japanese Polite Expressions Learning Using PDA towards Ubiquitous Learning, The Journal of Information and Systems in Education,Vol．3,No．1, pp．33-39,2004．

Language：English   Publishing type：Research paper (scientific journal)  

JAPELAS: Supporting Japanese Polite Expressions Learning Using PDA towards Ubiquitous Learning

Publishing type：Research paper (scientific journal)   Publisher：Interactive Learning Environments  

Online learning has become a part of daily life. However, it has fostered a tendency to shallow reading. Notably, little attention has been paid to precisely identifying shallow reading behaviors using quantified education big data in favor of methods such as conceptual descriptions, opinions, and questionnaires, resulting in an imprecise analysis of its impact on learning and a lack of strategies to mitigate its causative factors. This study addresses the issue by introducing a behavior-identifying model grounded in measurable data to precisely identify shallow reading behaviors. Initially, three key dimensions of shallow reading behaviors were proposed, along with corresponding mathematical indicators. Subsequently, the k-means algorithm and Pearson correlation coefficient were employed to evaluate the relationship between shallow reading and learning performance, underscoring its significance. The analysis showed that shallow reading behaviors are highly associated with poor learning performance, thus hindering critical reading. These findings further validate the predominant influence of reading speed on learning performance. Consequently, a strategy was developed to intentionally decrease reading speed. Following that, an experiment was conducted to assess the effectiveness of this strategy in mitigating shallow reading. The results revealed improved learning performance and a significant reduction in shallow reading behaviors without increasing cognitive load.

DOI： 10.1080/10494820.2024.2372846

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Publishing type：Research paper (scientific journal)   Publisher：Journal of Internet Technology  

This study reports the results on the relationship between cognitive style and learning style to understand the reading behavior of undergraduate students using an e-book system from the standpoint of a learning analytics view. Data are recorded from 102 undergraduate students at a university in China for over 4 months. The obtained results indicate that students with an analytical cognitive style achieve the highest performance compared with the other cognitive style groups (quasi-intuitive, adaptive, and quasi-analytic) and better fit the global learning style. Further, their reading behavior is different from that of the other three cognitive style groups (quasi-intuitive, adaptive, and quasi-analytic) as they re-read the first half to better understand the complete picture, following which, they continue their reading smoothly. Personalized learning is being adopted by rapidly growing educational institutions worldwide. The results provide tangible evidence for teachers to better consider the characteristics of students to design classrooms and students to better design learning plans according to their characteristics.

DOI： 10.53106/160792642024052503008

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Publishing type：Research paper (international conference proceedings)   Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

Some researchers suggest that when students engage in knowledge-sharing behaviors while learning e-book materials online, it can enhance their interactions and support their individual learning processes. Whether teachers should organize annotation content based on their expertise, or whether learners should share annotations with their peers during learning remains an unresolved research issue. This study aims to address this question by designing two groups: reading the materials with annotations by an instructor and reading by other students (peers) to explore the effects on learning achievement, learning attitude, and mental load. As a result, the students who read the instructor’s annotation performed better results on the delayed test and strengthened their attitude toward the importance of learning materials.

DOI： 10.1007/978-3-031-61672-3_19

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Other Link： https://dblp.uni-trier.de/db/conf/hci/hci2024-39.html#ZhouNOCY24

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2024 16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024  

In this study, we proposed and implemented a combined recommendation system by utilizing both learning log data, which contributes to improving learning performance, and learning style questionnaire, which contributes to increasing learning motivation. We also conducted an empirical experiment to evaluate the effect of the proposed recommendation system on learning performance, read efficiency, and perception of the proposed system. Students learned the same teaching material from the Commercial Law course. They were divided into three groups and received a page recommendation of the teaching material: recommended by only VARK data, recommended by only learning log, and recommended by both of V ARK data and learning log data. The findings show that the students who received the combined recommendation increased their mean values of learning performance and reading efficiency in the experiment and reported the highest improvement in usefulness and satisfaction on the system. On the other hand, the students who received the log data-only recommendation didn't increase their mean values of learning performance and reading efficiency and reported the lowest improvement of usefulness and satisfaction on the system. The students' post-questionnaires on their learning motivation and suggestions for learning recommendation system are also discussed.

DOI： 10.1109/IIAI-AAI63651.2024.00049

Scopus

Language：Others   Publishing type：Research paper (other academic)  

In the analysis of student learning data, researchers found that students often switch pages but cannot accurately find the target page. Therefore, in this study, a page recommendation model to provide students with the target page for jumping to improve the efficiency of student page jumping behavior was developed. The recommendation model linearly combines the content-based recommendation model using term frequency-inverse document frequency (TF-IDF) and the recommendation model based on student log data, and determines the optimal weight of linear combination through gradient descent. Finally, the accuracy of the model was evaluated by comparing it with expert-generated recommendation outcomes.

Publisher：31st International Conference on Computers in Education, ICCE 2023 - Proceedings  

The low selt-efficacy has been an important issue in the design ot instructional methods, and its negative ettects are mainly shown by the reduced willingness to leam and the high dropout and failure rates. Game-based learning has received attention In the design of t instructional methods because of the combination of learning content and games. In this study, we use addressing modes learning in operation system course as a case object to explore the potential of improving the low self-efficacy by game-based learning. To this end, a side-scrolling video game was designed to complete the case study task to examine the effect of game-based learning on solving the low self-efficacy issue. According to the experimental results, there was no difference in learning achievement between the experimental group students who used game-based learning, and the control group students who used traditional learning methods. However, with similar scores in teaming achievement, the experimental group students showed higher self-efficacy than the control group students. In addition, it was shown that the game-based learning approach did not Impose additional cognitive load.

Scopus

Publisher：31st International Conference on Computers in Education, ICCE 2023 - Proceedings  

The low selt-efficacy has been an important issue in the design ot instructional methods, and its negative ettects are mainly shown by the reduced willingness to leam and the high dropout and failure rates. Game-based learning has received attention In the design of t instructional methods because of the combination of learning content and games. In this study, we use addressing modes learning in operation system course as a case object to explore the potential of improving the low self-efficacy by game-based learning. To this end, a side-scrolling video game was designed to complete the case study task to examine the effect of game-based learning on solving the low self-efficacy issue. According to the experimental results, there was no difference in learning achievement between the experimental group students who used game-based learning, and the control group students who used traditional learning methods. However, with similar scores in teaming achievement, the experimental group students showed higher self-efficacy than the control group students. In addition, it was shown that the game-based learning approach did not Impose additional cognitive load.

Scopus

Publisher：31st International Conference on Computers in Education, ICCE 2023 - Proceedings  

In the analysis of student learning data, researchers found that students often switch pages but cannot accurately find the target page. Therefore, in this study, a page recommendation model to provide students with the target page for jumping to improve the efficiency of student page jumping behavior was developed. The recommendation model linearly combines the content-based recommendation model using term frequency-inverse document frequency (TF-IDF) and the recommendation model based on student log data, and determines the optimal weight of linear combination through gradient descent. Finally, the accuracy of the model was evaluated by comparing it with expert-generated recommendation outcomes.

Scopus

Publisher：31st International Conference on Computers in Education, ICCE 2023 - Proceedings  

In the analysis of student learning data, researchers found that students often switch pages but cannot accurately find the target page. Therefore, in this study, a page recommendation model to provide students with the target page for jumping to improve the efficiency of student page jumping behavior was developed. The recommendation model linearly combines the content-based recommendation model using term frequency-inverse document frequency (TF-IDF) and the recommendation model based on student log data, and determines the optimal weight of linear combination through gradient descent. Finally, the accuracy of the model was evaluated by comparing it with expert-generated recommendation outcomes.

Scopus

Authorship：Last author,　Corresponding author   Publishing type：Research paper (international conference proceedings)  

In the analysis of student learning data, researchers found that students often switch pages but cannot accurately find the target page. Therefore, in this study, a page recommendation model to provide students with the target page for jumping to improve the efficiency of student page jumping behavior was developed. The recommendation model linearly combines the content-based recommendation model using term frequency-inverse document frequency (TF-IDF) and the recommendation model based on student log data, and determines the optimal weight of linear combination through gradient descent. Finally, the accuracy of the model was evaluated by comparing it with expert-generated recommendation outcomes.

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Authorship：Last author,　Corresponding author   Publishing type：Research paper (international conference proceedings)  

In the analysis of student learning data, researchers found that students often switch pages but cannot accurately find the target page. Therefore, in this study, a page recommendation model to provide students with the target page for jumping to improve the efficiency of student page jumping behavior was developed. The recommendation model linearly combines the content-based recommendation model using term frequency-inverse document frequency (TF-IDF) and the recommendation model based on student log data, and determines the optimal weight of linear combination through gradient descent. Finally, the accuracy of the model was evaluated by comparing it with expert-generated recommendation outcomes.

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Authorship：Last author,　Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：Smart Learning Environments  

Information avoidance has been studied in medicine, economics, and psychology, and has recently been discussed in educational technology. In this study, the authors developed a grouping method to reduce students’ information avoidance in reading through group work. This two-step group method includes the k-means and genetic algorithm to explore the grouping method based on students’ marking tendencies. To examine the effect of this method, an experiment was conducted in a web-system development course with 33 graduate students. The results showed that information avoidance occurred less in the experimental group than in the control group. The students of the two-step grouping method evaluated group work as more helpful for their study than the students who attended the usual group work.

DOI： 10.1186/s40561-023-00281-7

Web of Science

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

It has been always crucial that how to group formation in online learning. Facilitating information exchange among students is important for learning motivation, learning performance achievement as well as cultivation of problem-solving ability. Group learning promotes not only the exchange of knowledge but also communication skills and independent responsibility for learning. As education big data has been increasingly accumulated on various learning platforms, behavior log data provides insight for grouping formation based on students' behavior data. In addition, learning style which acts a significant role in learning has been put a lot of attention. So that, a group formation system was developed based on learning style and behavior data, which features grouping students with consider learning behavior and learning style. After that, a detailed design description and usage introduction were also provided. In the future, an evaluation of the effectiveness of this system will be conducted through an empirical experiment

DOI： 10.1109/ICAIE56796.2023.00009

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Information avoidance has mainly occurred in the field of psychology, economics, and health. The information avoidance was also found in students' academic reading, causing students to lose some information after reading the literature. To reduce the information avoidance, this paper proposes a grouping system with digital paper. In this system, students will be divided into different group by reading logs and have a discussion after reading the whole literature. Through group communication, students can regain lost information to reduce the missing of information avoidance. This paper also proposes a scheme to group students according to their marking habits to see if the results are more useful for reducing information avoidance

DOI： 10.1109/ICAIE56796.2023.00029

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

DOI： 10.1109/ICAIE56796.2023.00005

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

The e-book systems have been widely used in educational activities, such as college studies. At the same time, a huge amount of data regarding the learning history are collected by using the E-book system. Data mining and machine learning method have been used for analyzing these educational data in order to study the learning behaviors of students. Most rereading behaviors to study relevant contents on other pages again are inefficient due to that students are difficult to accurately navigate to the desired page with just a one-time page transition on the e-book system. In this study, we develop a hybrid recommendation model, which can recommend students to find the desired pages when rereading. The developed model is combining a content-based method (TF-IDF model) and a data-driven method (Page jumping model) linearly. By optimizing its parameters with the collected learning data, the developed model can generate ranking lists of relevant pages for students. Finally, the performance of the developed model is evaluated by two metrics: precision and recall.

DOI： 10.1109/ICAIE56796.2023.00026

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

People sometimes avoid information even though they know it might be helpful to them. Although many studies on Information Avoidance (IA) have been conducted in the medicine, economics, and psychology fields, IA in Educational Technology are limited. This paper proposes a method of study on IA in Educational Technology, which include its definition, possible viewpoints of researching, and a case of IA in reading.

DOI： 10.1109/ICAIE56796.2023.00022

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023  

How to accurately define and identify learning behaviors is a prerequisite for analyzing behaviors, mining relationships, and developing strategies. To this end, social psychological methods such as questionnaires, individual interviews, and behavioral observations have been attempted to provide an accurate understanding of accurate behavior identification. However, inconsistencies in the measurement criteria for behavioral identification have led to identification errors. A new perspective on behavior identification is provided along with the rapid development of education dig data. Based on the data collection method by learning systems, with the help of recorded objective behavioral data, this study designs a behavior identifying model for online reading behavior and analyzed its behavioral characteristics. In this way, it will provide an evidence base for learning processes, interactions, and policy development.

DOI： 10.1109/IIAI-AAI59060.2023.00039

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Other Link： https://dblp.uni-trier.de/db/conf/iiaiaai/iiaiaai2023.html#ZhaoKY23

Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

E-book system (DITel) is used to organize the collected data, and based on the learner's efforts in electronic teaching materials, a machine learning tool called Scklearn is used for decision tree analysis. The relationship between the learning log and the learning style was analyzed. The necessity of comparing the learning style and the learning log was explained, but it was also clear from the experimental results that it is necessary to consider the learning style. In the future, as ICT develops and the demand for electronic teaching materials increases, we hope that research on electronic teaching materials that can be used more effectively by learners and teachers will be promoted.

DOI： 10.1109/ICAIE56796.2023.00021

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In recent decades, more and more research about game-based learning has proved it powerful in improving stu-dents' concentration and motivation and causing a considerable effect on diverse learning content. Focusing on virtual memory in the Operating Systems, we try to employ game-based learning in transforming complex and abstract learning content into easy-to-understand game missions. In the game, students can manipulate a character, explore 3 maps of a 3D world equivalent to locations of data, and conduct missions presenting the process of addressing and are provided with guidance for scaffolding. In this study, we elaborate on the design in detail and demonstrate the effect of a gamification prototype.

DOI： 10.1109/ICAIE56796.2023.00012

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

A system based on the concept of utilizing such relationships between knowledge was developed. This system aims to identify the lack of knowledge of learners by systematizing the relationships between quizzes and replacing complex problems with a set of simple questions. The educational effectiveness of the system was measured by tests, which showed a higher increase in scores than when the system was not used. The questionnaire also showed that users of the system had positive impressions of the system, such as being able to save the learning time.

DOI： 10.1109/ICAIE56796.2023.00011

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Publishing type：Research paper (international conference proceedings)   Publisher：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

Commonly, learners need to find one other page that they read exploring those that correlated with this page in terms of potential interest or knowledge. However, it is hard to do with online learning materials. In that case, automatic page-turning navigation can recommend learning with pages by algorithms designed to calculate the relevance between pages. However, currently, when performing automatic page-turning navigation, it is mainly calculated by the click-through rate of page kin as well, and does not take into account the knowledge content on the page. In this study, a natural language analysis method based on morphological analysis is designed to detect the accuracy of the current automatic page-turning navigation by calculating the relevance of the knowledge contained within a page.

DOI： 10.1109/ICAIE56796.2023.00010

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Web of Science

Publishing type：Research paper (international conference proceedings)  

Reading rate is the number of words a user reads per unit of time, also known as reading speed. As online learning has been continuously growing, research on tracking learning behavior is undertaken, and the reading rate was beginning to be applied to measure the learning process. However, current calculating methods are based on the traditional learning environment of a paper-based course, and further research is needed to determine whether they can be used to track students' learning in an online learning environment and integrate with their online reading habits. To this end, this study proposed a new method based on online learning used to calculate reading rate as a measure to track students' learning status, after analyzing students' reading behavior in the e-book learning system. This method not only can identify students with learning difficulties through reading rate outliers, but also provide urgent feedback to students on their reading status.

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Publisher：30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings  

Reading rate is the number of words a user reads per unit of time, also known as reading speed. As online learning has been continuously growing, research on tracking learning behavior is undertaken, and the reading rate was beginning to be applied to measure the learning process. However, current calculating methods are based on the traditional learning environment of a paper-based course, and further research is needed to determine whether they can be used to track students' learning in an online learning environment and integrate with their online reading habits. To this end, this study proposed a new method based on online learning used to calculate reading rate as a measure to track students' learning status, after analyzing students' reading behavior in the e-book learning system. This method not only can identify students with learning difficulties through reading rate outliers, but also provide urgent feedback to students on their reading status.

Scopus

Publishing type：Research paper (international conference proceedings)  

Reading rate is the number of words a user reads per unit of time, also known as reading speed. As online learning has been continuously growing, research on tracking learning behavior is undertaken, and the reading rate was beginning to be applied to measure the learning process. However, current calculating methods are based on the traditional learning environment of a paper-based course, and further research is needed to determine whether they can be used to track students' learning in an online learning environment and integrate with their online reading habits. To this end, this study proposed a new method based on online learning used to calculate reading rate as a measure to track students' learning status, after analyzing students' reading behavior in the e-book learning system. This method not only can identify students with learning difficulties through reading rate outliers, but also provide urgent feedback to students on their reading status.

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Publisher：30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings  

Reading rate is the number of words a user reads per unit of time, also known as reading speed. As online learning has been continuously growing, research on tracking learning behavior is undertaken, and the reading rate was beginning to be applied to measure the learning process. However, current calculating methods are based on the traditional learning environment of a paper-based course, and further research is needed to determine whether they can be used to track students' learning in an online learning environment and integrate with their online reading habits. To this end, this study proposed a new method based on online learning used to calculate reading rate as a measure to track students' learning status, after analyzing students' reading behavior in the e-book learning system. This method not only can identify students with learning difficulties through reading rate outliers, but also provide urgent feedback to students on their reading status.

Scopus

Language：Others   Publishing type：Research paper (other academic)  

Reading rate is the number of words a user reads per unit of time, also known as reading speed. As online learning has been continuously growing, research on tracking learning behavior is undertaken, and the reading rate was beginning to be applied to measure the learning process. However, current calculating methods are based on the traditional learning environment of a paper-based course, and further research is needed to determine whether they can be used to track students' learning in an online learning environment and integrate with their online reading habits. To this end, this study proposed a new method based on online learning used to calculate reading rate as a measure to track students' learning status, after analyzing students' reading behavior in the e-book learning system. This method not only can identify students with learning difficulties through reading rate outliers, but also provide urgent feedback to students on their reading status.

Language：Others   Publishing type：Research paper (scientific journal)  

The purpose of this study is to explore students' backtracking patterns in
using a digital textbook and reveal the relationship between backtracking
behaviors and academic performance as well as learning styles. The study was
carried out for two semesters on 102 university students and they are required
to use a digital textbook system called DITeL to review courseware. Students'
backtracking behaviors are characterized by seven backtracking features
extracted from interaction log data and their learning styles are measured by
Felder-Silverman learning style model. The results of the study reveal that
there is a subgroup of students called backtrackers who backtrack more
frequently and performed better than the average students. Furthermore, the
causal inference analysis reveals that a higher initial ability can directly
cause a higher frequency of backtracking, thus affecting the final test score.
In addition, most backtrackers are reflective and visual learners, and the
seven backtracking features are good predictors in automatically identifying
learning styles. Based on the results of qualitative data analysis,
recommendations were made on how to provide prompt backtracking assistants and
automatically detect learning styles in digital textbooks.

Language：English   Publishing type：Research paper (other academic)  

Prediction is an important branch of research in learning analytics, in which the prediction of learning achievement has much practical value for improving instructional management and enhancing learning effectiveness. As a type of cognitive data, students' learning style data offers great potential for predicting their learning achievement. Based on the analysis of the contribution of learning style data on prediction model creation, this study uses the Felder and Silverman learning style scale to examine 238 students' learning styles as feature elements and explores the feature importance using six machine learning algorithms to create models for learning achievement prediction. Besides, to identify the relationship between learning styles and learning behaviors, and the hidden learning patterns behind learning styles, the study collected reading log data using the E-book system for correlation and principal component analysis. It was found that the Decision Tree model obtained the best results in terms of accuracy and other indicators. Secondly, the VisualScore feature showed the greatest influence on all the six models used. Thirdly, the study also found that learning styles were highly correlated with repeated learning and marking behavior in reading behavior. Finally, the analysis showed that the visual and verbal dimensions under the VisualScore features had three common learning patterns of repeated reading, marking, and mobile reading, in addition to differences in learning patterns in terms of time spent.

Language：English  

As a kind of data that can reflect learning status, e-book logs have been widely used in learning analytics, especially for the prediction of academic performance. However, the best prediction model cannot be found without determining the contribution of e-book logs to the prediction performance of the model and its creation process. To this end, this study used the scikit-learn, a free software machine learning library, to analyze learning performance of 234 participants by learning behavior logs, which were collected by an e-book system. Finally, six prediction models containing Decision Tree, Random Forests, XGBoost, Logistic Regression, Support Vector Machines, and K-nearest Neighbors were created. Also, the contribution of e-book logs on the establishment of different prediction models was obtained by three feature importance calculation methods, i.e., the impurity-based feature importance, coefficients feature importance, and permutation feature importance. Based on statistical results, it was concluded that the Decision Tree and Random Forests had the best prediction performance, which was compared to the other four models, with prediction performance scores ranging from 0.7 to 0.8. Besides, the four data features of Prev, Highlight, Maker, and Next were found to have the greatest impact on model prediction creation.

DOI： 10.1109/ICALT52272.2021.00063

Language：English   Publishing type：Research paper (other academic)  

Data collection is the most crucial step in scientific research, and the quality of the collected data determines the success or failure of the research, therefore, learning behavior analysis is no exception. With the development of big data mining technology, learning analytics has received great attention. As one of the important branches, data mining technology provides great opportunities for learning behavior analysis. In this paper, we collect 448 articles through the web of science and use the key clustering analysis and citation bursting analysis to explore the core issues and research frontiers of the study, to identify the current status and development of data collection in learning behavior analysis, as well as to examine the relationship between data collection and learning behavior analysis. As a result, 9 core clusters including learning intention were found to exist, and 5 keywords with the strongest citation highlighting were also obtained.

DOI： 10.1109/IIAI-AAI53430.2021.00031

Language：English  

This study provides a systematic literature review of 45 selected studies into computer-supported collaborative learning and written communication from 2006 to 2018. A review of the methodologies and findings helps explain the complex issues in this area. The corpus was analyzed qualitatively for statements, and six themes were identified: feedback, engagement, depth of discussion, language development, affective learning, and the role of the instructor. Examples include the best tools and approaches for deeper discussions and feedback, the role of the instructor, and the best practices to facilitate extended task engagement. In addition, quantitative analyses of the results revealed that most collaboration was carried out within education or English language courses, was of a duration of 11 to 20 weeks, and the most frequent sample size was between 20 and 50 students. The findings from this review contribute to our understanding of English language learning behavior, engagement with technology, and the emotional involvement in collaborative writing with technology.

DOI： 10.1002/hbe2.225

Language：Others   Publishing type：Research paper (other academic)  

Adaptivity is one of the most prominent features of intelligent textbooks in the 21st century. Learning style is a personality characteristic of learners, which is used to describe learners' preference for processing information in a certain way. Learning style was often measured by questionnaires, which were easily influenced by learners' subjective cognition and external interference. This study proposes a data-driven approach to automatically detect learning style of learners. In the learning environment of e-textbook, 234 students' reading data was collected, and a learner model is constructed using machine learning technology. The results show that the proposed model achieves a promising performance in prediction learning style. This will help measure learning style more accurately and provide support for personalization. The learner model applied to e-textbook can promptly and dynamically monitor the changes of students' learning behavior in the online environment, and adaptively intervene, remedy or enhance.

Language：Others   Publishing type：Research paper (other academic)  

We employed a Co-citation analysis by the Citespace software for the trend and development process in learning analytics. Through the clustering term time-zone view, it is clearly shown that 15 research clustering terms occurred from 2008 to 2019. Moreover, this paper proposed a clear review when these terms emerged and how they grew.

Language：Others   Publishing type：Research paper (other academic)  

E-books are continually being introduced to educational institutions. Many e-books systems have a note-taking function to support learners' record of their reading by themselves. However, collaborative note-taking provides many benefits to learners, and as a way to improve reading efficiency and stimulate students' learning motivation, collaborative reading has been widely used in educational fields. In this study, we describe a note-map function to support students' collaborative reading. Students share their notes, edit others' notes, communicate with others using the note-map function, and a scenario of using the system is resented.

Language：English   Publishing type：Research paper (scientific journal)  

Learning Support for Career Related Terms with SCROLL and InCircle
In this paper, we describe the support system for job-hunting students to learn job-hunting related terms by using an eBook and a chat system. Job-hunting process is very unique and complicated in Japan. Job-hunting students face difficulties in many phases. Many job-hunting related terms are not used in daily conversation and very new to them. Therefore, it is necessary to support them to learn them. The objectives of this study are (1) to clarify whether there is a positive correlation between active involvement of eBook learning and test performance and (2) to clarify whether the use of our chat system was effective in learning job-hunting related terms. The result of the evaluation showed that as for (1), there was no statistically significant correlation between the two factors. However when focusing on the international students, the correlation coefficient increased. It was aligned with the fact that this system was originally designed to support international students. As for (2), when the comparison was made between with and without InCircle delivery, there was no statistically significant difference between them in terms of Pre- and Post-test improvement. However the students gave the high score when they were asked its helpfulness. The score implies that the students were satisfied with its helpfulness.

DOI： 10.1007/978-3-030-50344-4_47

Language：Others   Publishing type：Research paper (other academic)  

In this paper, we developed a digital textbook content improvement system, which can help teachers to find and improve the relevant content of digital textbook objectively based on the contents of quizzes. Based on the DITeL system, we have designed two modules of the system configuration. The first part includes the functions such as registration, modifications and deletions of the contents of questions, optional items and students’ answers, and the calculation and display of average grades ratio about questions which have been answered by students. The second part is based on the question and the correct answer, automatically to search relevant page about the digital textbook. We aim to use the system that students can take quizzes in every lesson to test the level of mastery of their knowledge. And teachers can find which questions that students got lower scores, and which the contents of relevant page about the digital textbook need to be improved.

Language：English   Publishing type：Research paper (other academic)  

Learning log is defined as a digital record of what learners have learned in their daily lives using ubiquitous technologies. By using the ubiquitous learning system named SCROLL(System for Capturing and Remining Of Learning Logs), learners can save what they have learned in their daily lives with photo, such as location (latitude and longitude), learning place, and date and time of creation as a learning log. Although learners have many opportunities to learn words and meanings of objects with taking a photo in their daily lives, SCROLL is not implemented functions for supporting language learning with object and text detection. Therefore, this paper proposes a ubiquitous learning system to support language learning with object and text detection technologies.

Language：English   Publishing type：Research paper (scientific journal)  

Supporting Job-hunting Students to Learn Job-hunting Related Terms with SCROLL eBook and InCircle
In this paper, we describe the support system for job-hunting students to learn job-hunting related terms using an eBook and a chat system. Job-hunting process is very unique and complicated in Japan. Job-hunting students face difficulties in many phases. Some job-hunting related terms are not used in daily conversation and very new to them. Therefore, it is necessary to support them. In fact, many universities in Japan have started providing their students with career education. The objective of this study is to examine whether or not the use of our chat system was effective in learning job-hunting related terms. The result of the evaluation showed there was no statistically significant difference. However the highest score was given when they were asked it's helpfulness.

Language：English   Publishing type：Research paper (other academic)  

With e-learning systems gradually being implemented, researchers worldwide have started devoting increasing attention to Learning Analytics. At Kobe university, a digital textbook reading system has been developed to collect learning logs in the face-to-face classroom. In a previous study, k-means clustering was implemented to analyze learning behavior patterns; however, there were problems such as few variables for clustering and a failure to consider weighting of the learning elements. Therefore, in this study we applied clustering by increasing the number of learning elements and assigned weights to the learning elements, then analyzed the learning behavioral patterns. We found some behavioral patterns of students who can save learning time if they effectively write memos and add markers.

Language：English   Publishing type：Research paper (other academic)  

This paper describes a system that groups texts and objects in layout of slides. Layout of a slide is important to hold a presentation correctly. However, designing layout appropriately is difficult for beginners at making slides, like students. In addition, it is also difficult for them to check whether the layout of a slide is appropriate or not. To solve this problem, in this study, we developed a system that analyzes layout of a slide based on the positions of texts and shape objects. The system shows groups of texts each of which has common a topic. Beginners can realize mistakes of layout by comparing the output of the system and their intention.

DOI： 10.1109/IIAI-AAI.2019.00218

Language：English   Publishing type：Research paper (other academic)  

In recent times, researchers in pedagogy have focused on digital learning logs collected by learning tools such as Learning Management Systems and digital textbook systems. By analyzing and visualizing these, they aim to improve learning and/or teaching methodologies in the future. Using a digital textbook system, it is possible to collect information on which textbook pages were browsed by learners. However, these tools cannot decipher which zones of the textbook were browsed. In order to collect this information, eye-tracker technology would be necessary, but providing each learner with an eye-tracker would be too expensive. To solve this problem, a previous work proposed a method that used masks to detect and conceal each section of the slides in a digital textbook. The learner then clicked the masks one by one to delete them while browsing the contents of the digital textbook. By recording the learner’s clicking operations, the method collected information about the zones browsed by the learner. However, this method was found to cause a decline in learning achievement and system usability as a large number of zones were hidden. Therefore, we propose a grouping method, based on the layout information of the slides, in order to identify the appropriate zones to hide with masks.

DOI： 10.1007/978-3-030-21935-2_33

Language：English   Publishing type：Research paper (scientific journal)  

Seamless collaborative learning method to learn business Japanese with eBook and chat system
The breakthrough of information technology has accelerated the evolutionary change in teaching and learning methodologies. In particular, pervasion of high-efficiency smartphones has raised the potential to generate a new learning environment called seamless learning, which has been drawing much attentions from researchers in pedagogy of any domains. The Japanese government, in 2016, declared “Japan Revitalization Strategy 2016”. It includes the increasing of the number of foreign workers who gain employment in Japan after graduation. They set the goal from 30% to 50% of the international job hunting students find jobs in Japan. Therefore, career education for international students has become an urgent issue to tackle with in Japan. In fact, many universities in Japan have started providing international students with career education such as business Japanese, business communication and career design. Since Japanese job hunting process is very unique, most foreign students have anxieties about it. The objective of this study is to propose an effective business Japanese learning support system. Our ultimate goal is to contribute to the enhancement of their employment rate in Japan.

DOI： 10.1007/978-3-030-21935-2_34

Language：English   Publishing type：Research paper (scientific journal)  

Learning behavioral pattern analysis based on digital textbook reading logs
Since various features have different degrees of association with learning outcome, it is necessary to evaluate each feature by giving a reasonable weight. In this paper, we propose a different weighting of the features, weighting the features is different from other researches, when we carry out Correlation Analysis between these features and grade achieved (in the end of the semester). By using this weighting of the features and the students’ grade achieved, we grouped students into five clusters and analyzed their learning behavioral patterns. We found some interesting patterns, such as the students who always use the MEMO or MAKERS function, always get better grade achieved.

DOI： 10.1007/978-3-030-21935-2_36

Language：English   Publishing type：Research paper (other academic)  

Learning Analytics have become mainstreams in many research fields. Although many researches have been done in LA, there are still numerous issues and challenges such as how to utilize LA results to support learning. In this paper, we proposed a feedback system based on a digital book system. And we also get some feedback about using the feedback system

DOI： 10.1109/ICIME.2018.00078

Language：Others   Publishing type：Research paper (other academic)  

DOI： 10.1109/ICIME.2018.00006

Language：English   Publishing type：Research paper (other academic)  

Recently, many studies have analyzed digital textbook reading data by treating all events in the data stream as mutually independent of each other. However, there is a potential loss of information if all event indicators are analyzed independent of time or sequence. Therefore, in this study, a sequential analysis method is employed to analyze the sequential behavior of digital textbook reading logs. In order to collect students' learning logs with the same experimental design, we conducted two experiments in the years 2017 and 2018 during an educational technology course for graduate students. We conducted two comparisons of sequential behaviors. First, we compared the different sequential behaviors through different devices. Second, we compared the sequential behaviors of the students of years 2017 and 2018. We found some behavioral patterns that may help digital textbook system developers and instructional designers reach an in-depth understanding of the actual operations and behavioral patterns of learners.

Language：English   Publishing type：Research paper (other academic)  

This paper describes an infrastructure for seamless learning analytics to bridge digital textbook learning and practical training such as programming and conceptual modeling education. To realize the infrastructure for seamless learning analytics, we propose the integration of a digital textbook system into a software learning support system. By using our proposed infrastructure, all learning data will be sent by xAPI and collected in an independent LRS. We believe that analyzing and visualizing the relationships between the learning in the digital textbook system and practical training in the software learning support system leads to improving the quality of learning and teaching.

Language：English   Publishing type：Research paper (scientific journal)  

How we can support international students' job hunting in Japan seamlessly
This paper describes our study where we have aimed to support international students' job hunting in Japan with our developed career support system. Career support for international students in Japan is an urgent issue since it is a Japanese government policy to increase the number of international workers. A questionnaire survey revealed that top two anxieties that international students have were language-related and lack of information. The result of our previous evaluation demonstrated that the users benefited from the system, while it revealed some agendas to deal with. Reflecting its result, a new career support system is scheduled to be designed in 2018 aiming for the enrichment of the career support contents and enhancement of seamless interaction among users. It is expected to contribute to the enhancement of the employment rate of international students in Japan.

Language：Others   Publishing type：Research paper (other academic)  

Supporting Teaching/Learning with Automatically Generated Quiz System

Language：English   Publishing type：Research paper (scientific journal)  

Redesign of a Data Collection in Digital Textbook Systems
This paper describes redesign of data collection in digital textbook systems. Previous studies in the digital textbook systems allow us to collect the data which pages learners were browsing in the digital textbooks. However, it is difficult to collect the data which positions of the pages learners were browsing in the digital textbooks unless using eye-tracking technologies. This study developed a digital textbook system called SEA (Smart E-textbook Application) to collect the data which positions of the pages the learners were browsing in the digital textbooks without eye-tracking technologies. The system automatically hides the texts in the digital textbook system with mask processing. An evaluation experiment was conducted to evaluate the user acceptance regarding our developed system.

DOI： 10.1109/IIAI-AAI.2018.00192

Language：English  

Seamless Support for International Students' Job Hunting in Japan Using Learning Log System and eBook
This paper describes our continuous study in which we have aimed to support international students' job hunting in Japan with our developed career support system. Career support for international students in Japan is an urgent issue since it is a Japanese government policy to increase the number of international workers. A questionnaire survey revealed that top two anxieties that international students have were language-related and lack of information. The result of our previous evaluation demonstrated that the users benefited from the system and that it will be expected to contribute to the solution of the two anxieties, while it revealed some agendas to deal with. Reflecting its result, a new career support system is scheduled to be designed in 2018 aiming for the enrichment of the career support contents and enhancement of seamless interaction among users. It is expected to support international students' job hunting process more effectively than our previous one.

DOI： 10.1109/IIAI-AAI.2018.00081

Language：Japanese  

Learning Analytics towards the Usage of Learning log from DITeL Digital Textbook System

DOI： 10.24546/81010172

Language：English   Publishing type：Research paper (other academic)  

In this paper, we describe implementation of seamless language learning with a learning log system called SCROLL and an e-book system. Prevalence of high-performance mobile devices has enhanced the potential of seamless language learning environment. Seamless learning is an approach which enables learners to entwine various learning scenarios seamlessly. We have seen a good deal of technology-driven researches in this field. Our SCROLL project is among them. SCROLL is expected to facilitate learners to learn their target languages and language related knowledge in a seamless learning environment. The evaluation was conducted where SCROLL was introduced in Japanese language learning settings. The result of the evaluations revealed that the whole system had a high usability, and it helped users gain related knowledge seamlessly.

Language：English   Publishing type：Research paper (other academic)  

The purpose of this paper is to mine or detect meaningful information for improving learning materials using e-book-based logs. The analysis and visualization methods of this study use association analysis with Apriori algorithm. Logs for e-book-based learning analytics were collected in an e-book system. In order to analyze and visualize the collected logs, this paper proposes a system called SILM (System for Improving Learning Materials). Using SILM, instructors or teachers can find the learning materials that should be improved. We believe that improving learning materials with analyzing and visualizing educational big data lead to improving student results.

DOI： 10.1109/IIAI-AAI.2017.59

Language：English   Publishing type：Research paper (other academic)  

The group formation problem is a key problem in group learning. In this paper, we proposed a group formation system by using learning logs, which were collected from digital books system and Moodle system. We described the design and the usage of the system. In the future, we will evaluate the effective of this system.

DOI： 10.1109/ICALT.2017.33

Language：English   Publishing type：Research paper (other academic)  

This paper describes the development and evaluation of a chat system called InCircle. The importance of cultural understanding in the development of intercultural competence in foreign language learning has been pointed out for a long time. Besides, one of the trends in a pedagogical field is the shift from teacher-centerd to student-centered learning. Recent advancement of IT technology has accelerated its trend. With the spreads of educational application of SNS (social network services), it has enabled us to share information and knowledge in real time. In order to promote student-centered learning, it is necessary to facilitate interaction among students. For these purposes, InCircle was introduced in a language and culture class at university in Japan. The objectives of our research study is to examine whether InCircle contributes to the enhancement of mutual cross-cultural understanding and the facilitation of interaction among students. The number of the students’ posting dramatically increased after it was introduced compared with the blog comment function. The result of the questionnaire endorsed its usability and effectiveness as a communication tool.

DOI： 10.1007/978-3-319-63088-5_13

Language：English   Publishing type：Research paper (other academic)  

Many learning analyses focus on online learning courses, such as massive open online courses (MOOCs). The analysis of learning behaviors from access log data is expected to be of benefit to instructors and learners. However, there are few studies that focus on the reading logs of digital textbooks in the traditional classroom. This study adopts a new approach to analyzing learning behavior patterns through digital textbook use. Students were grouped into four clusters using k-means clustering to analyze their learning behavior patterns.

Language：English  

Supporting out-of-class interaction among learners with InCircle
This paper describes the development and evaluation of a chat system called InCircle. It is widely recognized in Japan that in-class learning time is far from sufficient in higher education, and it is highly necessary to promote out-of-class learning. In recent years, with the spreads of educational application of SNS (social network services), student-centred collaborative learning environment has been drawing attention. InCircle was introduced in a language and culture class at university in Japan in order to boost up out-of-class interaction among students and to enhance learning opportunities out-of-class. The result of the pilot evaluation showed that the number of the students' posting dramatically increased, while its out-of-class use was not active as expected.

DOI： 10.1145/3022198.3026333

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Others   Publishing type：Research paper (other academic)  

Profiling High-achieving Students for E-book-based Learning Analytics.
© Copyright 2016 for this paper by its authors. The purpose of this paper is to mine or detect meaningful learning patterns for profiling high-achieving students using e-book-based activity logs and questionnaire. The analysis of this study uses association analysis with Apriori algorithm. Logs for this analysis were collected from 99 first-year students who use a document viewer system called BookLooper, questionnaires and Moodle in an information science course at Kyushu University. From the results of the association analysis, we found that high-achieving students and BookLooer have significant relationships in terms of preparation and review time. This paper believes that the profiling and analysis can be used to predict their final grades and to detect effective learning patterns.

Language：English   Publishing type：Research paper (scientific journal)  

Profiling High-achieving Students using E-book-based Logs

Language：Others   Publishing type：Research paper (other academic)  

This paper presents a method for visualizing students' learning logs using discrete graphs. These logs contain the following four items: attendance, time spent browsing slides, submission of a report and the quiz score for each lesson. The data were collected using learning management systems and the e-text systems. By using these data, we construct graphs for each grade of which the nodes represent all combinations of achievements and failures for the four items. The graphs enable us to observe the features of students' learning activities for each obtained grade. The order in which the above four items are presented changes the visual features of the graph. Moreover, the construction of a graph from the data of the same class held previously enables us to inform students of the learning activities they should avoid. Finally, future research plans regarding this method are presented.

Language：English   Publishing type：Research paper (other academic)  

The native language of a foreign language learner can have an effect on the errors they make because of similarities or differences between the two languages. In order to provide effective error prediction and correction for nonnative English language learners it is important to identify their specific characteristic error patterns that are influenced by their native language. In this paper, we examine analyzing error detection scores to predict the native language of an English language learner. 15 categories of error detection scores are combined to create an error prediction score vector representation of each sentence. The native language is predicted by training an SVM classifier with the error vectors. The results are compared to an SVM classifier trained with just word representations of the learner writing sentences.

DOI： 10.1007/978-3-319-20609-7_9

Language：Others   Publishing type：Research paper (other academic)  

Analyses on students' learning behaviors comprise an important thrust in education research. This study focused on e-books system used in the classroom and this system recorded students' learning logs in their daily academic life. These learning logs can be used to analysis students' learning behaviors. By performing partial correlation analysis, the study found that a number of learning behaviors have a significant relation with students' test scores.

Language：English   Publishing type：Research paper (other academic)  

This paper discusses learning behavior analysis using a learning management system (LMS) and an e-textbook system. We collected a large number of operation logs from e-textbooks to analyze the process of learning. In addition, we conducted a quiz to check the level of understanding. In our study, we especially focus on an analysis of the relationship between learning behavior in informal learning and its effectiveness in the corresponding quiz. We apply a machine learning and classification methodology for behavior analysis. Our experimental results demonstrate that students who undertake good informal learning achieve better scores in quizzes.

DOI： 10.1109/ICALT.2015.78

Language：English   Publishing type：Research paper (other academic)  

This preliminary research investigates the relationship between psychometric data and learning behaviors in the learning analytics research field, specifically, the relationship between self-regulated learning and learning behavior. The results of this limited research show that marker and annotation use have a weak significant relationship with self-efficacy and the intrinsic value of learning materials.

DOI： 10.1109/ICALT.2015.74

Language：Others   Publishing type：Research paper (other academic)  

Learning by "search & log"
Although previous research has demonstrated the benefits of the "learning by searching" strategy, there is a new problem which is how to measure and analyze the effectiveness of "Learning by Searching" behaviors. In this paper, by using the record of the students' learning history, we have proposed a SNSearch system to analyze student web-searching behaviors of "Learning by Searching".

Language：Others   Publishing type：Research paper (other academic)  

Smart phone based data collecting system for analyzing learning behaviors
Nowadays, it is a hot topic to analyze the huge amount of data in the world. This issue also exists in the learning during students' life. The learning data are collected only to record students' learning status. As a result, most learning data are not used to improve the quality of learning for students. In this paper, we propose an order made education system, which can recommend students to select the courses they want to learn. In order to analyze students' learning behaviors, we collect students' learning data by using mobile devices.

Language：English   Publishing type：Research paper (scientific journal)  

In this paper, the entries of Lang-8, which is a Social Networking Site (SNS) site for learning and practicing foreign languages, were analyzed and found to contain similar rates of errors for most error categories reported in previous research. These similarly rated errors were then processed using an algorithm to determine corrections suggested by a native speaker. Subject matter experts then evaluated the processed sentences to determine the quality in relation to use in tests or exams for language learners. The method describes the automatic generation of multiple choice and fll-in-the-blanks quizzes using the writings of language learners on public web based learning sites, in order to support learner refection on corrections and practicing past errors to overcome problems. Copyright © 2013, IGI Global.

DOI： 10.4018/ijdet.2013100105

Language：English   Publishing type：Research paper (scientific journal)  

Engaging in initial communication interactions with an unknown partner for the first time can be a daunting task.
Participants often use several different strategies, including an active strategy involving getting to know their communication partners
through asking other people about them. However, this strategy might not always be possible. To resolve the situation when this
strategy is not suitable, we propose a method to extract keywords from the partner’s comments on SNS sites and use these comments
to represent their interests and activities. Keywords are visualized as a mind map for use as a communication tool when engaging
in interpersonal communications. The use of this method is demonstrated and evaluated in three examples that were created
from real world data collected from Twitter.

Language：English   Publishing type：Research paper (scientific journal)  

In this paper, the entries of Lang-8, which is a Social Networking Site (SNS) site for learning and practicing
foreign languages, were analyzed and found to contain similar rates of errors for most error categories reported
in previous research. These similarly rated errors were then processed using an algorithm to determine
corrections suggested by a native speaker. Subject matter experts then evaluated the processed sentences to
determine the quality in relation to use in tests or exams for language learners. The method describes the
automatic generation of multiple choice and fill-in-the-blanks quizzes using the writings of language learners
on public web based learning sites, in order to support learner reflection on corrections and practicing past
errors to overcome problems.

Language：English   Publishing type：Research paper (scientific journal)  

The one-way information provision can not impress the listeners well. As an efficient way, Question & Answer can
help information provider understand the response of listeners. However, it is not easy for everyone to set a suitable question.
In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate the quiz by
extracting feature words of the topic keyword from the blogs. Our purpose is to help the tourism information providers to
advertise their tourism events in an interactive way, in order to impress the tourists. By comparing with other method of quiz
generation, we demonstrate that our method is more suitable for information provision.

Language：English   Publishing type：Research paper (scientific journal)  

With the popularity of the Internet, online searching is becoming an important part of learning. In this paper, based on the "Learning by Searching" theory, a learning environment is developed, which includes a search engine to assist students in recognizing the progression of trends and keyword transitions for specific domains. To efficiently support research trend surveys, an automatic data accumulation and classification approach is proposed to construct the database excerpts instead of manual keyword registration or any other heuristic preprocesses. With an associative search module, the search engine dynamically searches for relevant words that are frequently used in the targeted academic field, and provides learners with effective visualizations to understand the trend transitions. An experiment has been conducted on a college information management course to show the effectiveness of the proposed approach. The experiment results show that the students who learned with the new approach had significantly better learning performance in terms of recognizing the trend transitions of the targeted issues than those who learned with conventional search engines.

Language：English   Publishing type：Research paper (scientific journal)  

Peer Knowledge Assisted Search Using Community Search Logs

Language：English   Publishing type：Research paper (scientific journal)  

Language：Others   Publishing type：Research paper (scientific journal)  

With the rapid development of information technology, information retrieval has become a natural way of learning
behaviors and problem-solving. The capability of individual network information retrieval will definitely affect the efficiency of an
individual using the network and gaining access to knowledge. Therefore, in the information age, the capability has become a basic
quality that people should have. But in reality, most people have the poor capabilities of network information retrieval and also lack
effective search strategies, which gives rise to psychological anxiety and fatigue. The capabilities of individual network information
retrieval are influenced by some factors, such as their psychological characteristics, existing knowledge and experience, task
characteristics and optional network system. During network information retrieval process, the individual can adopt cooperative
strategy, learning or observing strategy, supporting strategy, retrieval reflection strategy and anxiety weakening strategies, to solve the
problem or task by "socialized - explicit - integrated - implicit" process, and to reach the goal of knowledge growth.

Language：Others   Publishing type：Research paper (other academic)  

A private cloud environment for teaching search engine construction
Kyushu University installed a private cloud system, named "campus cloud system", using VCL and CloudStack. For a graduate school exercise course on web search engine, the authors prepared a virtual machine on VCL, which had apache web server and GETA indexer preinstalled. This paper introduces an outline of the cloud system, the exercise, and also reports advantages and disadvantages of cloud based education.

Language：English   Publishing type：Research paper (scientific journal)  

Language：Others   Publishing type：Research paper (other academic)  

Focused search using community search logs
© 2013 SDIWC. Search engines have become an increasingly important educational tool. Finding information has become an easy exercise by just typing a few keywords into a search engine text-box. However, some people may not use a search engine effectively. Students may not know how to choose proper keywords. They may have difficulty in selecting the relevant information from millions of search results. In this paper, we propose a search engine system which shares search queries and browsing history among students. We call the search queries and browsing history "community search logs". This system analyzes the community search logs, and shares students' knowledge and experience to each other. Our purpose is with help students, especially those who are not good at searching, to improve their searching efficiency.

Language：Others   Publishing type：Research paper (other academic)  

An SNS-based literature review system for conducting a research survey
It is necessary to perform a literature review before starting a new research project. However, many students do not know the procedures of performing a literature review. In this paper, based on the professional experiences and opinions of expert researchers, we describe an SNS-based literature review system to help students conduct research surveys. This system includes two search engines, one is an article search engine, which can help students conduct research surveys, and the other is a logging search engine, which allows students to learn from each other via their logs and share experience with other students. User models of the system as well as its functions are presented.

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

近年、Web標準技術の発展により、HTMLとJavaScriptだけでアプリケーションを開発し、Webブラウザ上で動くWebアプリケーションが作れるようになった。これまではサーバー側で行なっていた処理の一部をWebブラウザに任せることができるほか、Webブラウザの処理能力が向上したことで、新しいユーザーインターフェースも可能になった。本研究では、これらの技術を用いて、PCだけでなく、モバイルデバイスもサポートするWebベースのクラス応答システムを提案する。

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.4018/jdet.2010100103

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Yoshiyuki Tabata, Chengjiu Yin and Hiroaki Ogata: A Quiz System to Support Foreign Language Education, Language Sciences,Vol.44, pp.75-82,2009.03.(in Japanese)

Language：English   Publishing type：Research paper (scientific journal)  

LOCH: Supporting Mobile Language Learning Outside Classrooms, International Journal of Mobile Learning and Organisation (in press)

Language：Japanese   Publishing type：Research paper (scientific journal)  

JAMIOLAS: Supporting Learning Onomatopoeias with Sensor Networks, Journal of Japanese Society for Information and Systems in Education, Vol.24, No.4, pp.333-342 (in Japanese)

Language：Japanese  

PDA-based Participatory Simulation for Learning Algorism
本論文では,コンピュータ科学の一分野であるアルゴリズムの学習を、PDAを用いて支援するソフトウェアについて述べる。具体的には、ソートのアルゴリズムを学習する際、PDAを用いて各学習者がインタラクティブにシミュレーションを行い、試行錯誤しながら、アルゴリズムの理解を深める、という参加型シミュレーション環境を提案する。

Event date： 2012.9

Language：English   Presentation type：Oral presentation (general)  

Venue：Fukuoka   Country：Japan  

Event date： 2012.3

Language：English   Presentation type：Oral presentation (general)  

Venue：Kagawa   Country：Japan  

Recommendation of helpers based on personal connections in mobile learning

Event date： 2012.2

Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：東京放送大学学園本部 附属図書館 3階AVホール   Country：Japan  

The paper proposes a conceptual framework – SPSML (Scaffolding Participatory Simulation for Mobile Learning) used on mobile devices for helping students learn conceptual knowledge in classrooms. The framework adopts an experiential learning model as the pedagogical design which consists of five sequential but cyclic steps: initial stage, concrete experience, observe and reflect, abstract conceptualization and testing in new situations. Goal-based and scaffolding approaches to participatory simulations are integrated into the design to enhance students’ experiential learning.Two instances of the SPSML based system was implemented and evaluated.

Event date： 2011.12

Presentation type：Symposium, workshop panel (public)  

Venue：Hongkong   Country：China  

Event date： 2011.11 - 2011.12

Presentation type：Oral presentation (general)  

Venue：Chiang Mai   Country：Thailand  

A Support System for Research Trend Survey of Scientific Literature

Event date： 2011.10

Presentation type：Oral presentation (general)  

Venue：Dalian   Country：China  

Event date： 2011.9

Presentation type：Oral presentation (general)  

Venue：Dalian   Country：China  

Event date： 2010.12

Presentation type：Oral presentation (general)  

Venue：Shanghai   Country：China  

A Proposal of "TOIEBA" Search Engine for Tourism Event

Event date： 2010.11 - 2010.12

Presentation type：Oral presentation (general)  

Venue：Putrajaya   Country：Malaysia  

Event date： 2010.11 - 2010.12

Presentation type：Oral presentation (general)  

Venue：Putrajaya   Country：Malaysia  

Event date： 2010.11 - 2010.12

Presentation type：Oral presentation (general)  

Venue：Putrajaya   Country：Malaysia  

Event date： 2010.4

Presentation type：Oral presentation (general)  

Venue：Kaohsiung   Country：Taiwan, Province of China  

A Language Exchange SNS in Ubiquitous Environment

Event date： 2010.4

Presentation type：Symposium, workshop panel (public)  

Venue：KAOHSIUNG   Country：Taiwan, Province of China  

The survey of mobile learning in Mainland China

Event date： 2009.11 - 2009.12

Venue：Hongkong   Country：China  

Building a Participation Simulation Mobile Learning Environment through Scaffolding Technique

Event date： 2009.11

Presentation type：Oral presentation (general)  

Venue：Shanghai   Country：China  

Design a Context Awareness System for Japanese Language Learning in Ubiquitous Computing Environment

Event date： 2009.9

Presentation type：Oral presentation (general)  

Venue：Beijing   Country：China  

Event date： 2009.8

Presentation type：Oral presentation (general)  

Venue：Sydney   Country：Australia  

Event date： 2009.7

Presentation type：Oral presentation (general)  

Venue：Taiyuan   Country：China  

In this paper, we propose a collaborative learning service in ubiquitous environment for social networking service (SNS). The main characteristic of the service is that the users use the service to search the person who can solve the problem, and an appropriate request chain of friends (CF) will be recommended, upon their request. It allows the members to interact and expand the network of friendship. It provides the Knowledge Awareness (KA) to enhance and collaborative learning and support the sharing and creation of the knowledge.

Presentation type：Oral presentation (general)  

Venue：Tokushima   Country：Japan  

Ubiquitous-Learning System for the Japanese Polite Expressions

Presentation type：Oral presentation (general)  

Venue：Tsukuba   Country：Japan  

Learning Japanese Polite Expression in Ubiquitous

Venue：Kerkrade   Country：Netherlands  

PSSLSA: Participatory Simulation System for Learning Sorting Algorithms

Presentation type：Oral presentation (general)  

Venue：Alberta   Country：Canada  

Using Participatory Simulation Support Learning Algorithms

Presentation type：Symposium, workshop panel (public)  

Venue：Beijing   Country：China  

Participatory Simulation System to Support Learning Computer Science

Presentation type：Oral presentation (general)  

Venue：Hirashima   Country：Japan  

JAPELAS2: Japanese PoliteExpressions Learning Assisting System in Ubiquitous Environments (Supporting Learning Flow through Integrative Technologies,T. Hirashima et al.(Eda.), ISO Press )

Presentation type：Symposium, workshop panel (public)  

Venue：Hiroshima   Country：Japan  

PDA-based Languages System for Learning Japanese Polite Expression (The Supplementary Proceedings of ICCE 2007 WS/DSC, Vol.1)

Language：Japanese  

Venue：東京   Country：Other  

Language：English  

Venue：Taichung, Taiwan   Country：Other  

Introduction to the Case Studies of Learning Analytics

Language：English  

Venue：Osaka University, Japan   Country：Other  

E-book based Educational Data Mining

Language：Others  

Country：Other  

The Development of Educational Big Data and introduction of Case Studies in Japan

Language：Japanese  

Country：Other  

Language：English  

Country：Other  

E-Books based Learning Analytics in Japan

Event date： 2023.12

Language：English  

Country：Other  

Building a Central Venous Catheters Training System with Haptics devices and VR Goggles

Event date： 2023.12

Language：English   Presentation type：Symposium, workshop panel (nominated)  

researchmap

Event date： 2023.9

Language：Japanese  

Country：Other  

Event date： 2023.9

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

researchmap

Event date： 2021.10

Language：English  

Country：Other  

e-Book-based Learning Analytics in Japanese University Education

Event date： 2021.10

Language：English   Presentation type：Oral presentation (invited, special)  

researchmap

Event date： 2021.10

Language：Japanese  

Country：Other  

Event date： 2021.10

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

researchmap

Event date： 2013.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：幕張メッセ国際会議場   Country：Japan  

Event date： 2013.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：幕張メッセ国際会議場   Country：Japan  

Event date： 2013.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Denpasar Bali   Country：Indonesia  

Event date： 2013.11

Language：English   Presentation type：Oral presentation (general)  

Venue：Bangkok   Country：Thailand  

Event date： 2013.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：北陸先端科学技術大学院大学   Country：Japan  

Event date： 2013.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：秋田大学   Country：Japan  

Event date： 2013.8

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：富士通(株),東京   Country：Japan  

This is the report of two years to realize the Bring Your Own PCs Project in Kyushu University. We prepared several software con-tracts such as Office and anti-virus software to decrease the cost for students. We also arrange the wireless LAN to connect student’s PCs to the university LAN with IEEE 802.11n. Finally, we planned to practice the setup seminar for newcomers in early April 2013.

Event date： 2013.6

Language：English   Presentation type：Oral presentation (general)  

Venue：Sesimbra   Country：Portugal  

Event date： 2013.5

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：機械振興会館,東京   Country：Japan  

Event date： 2013.3

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：熊本大学   Country：Japan  

Event date： 2013.3

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：熊本大学   Country：Japan  

Event date： 2013.1 - 2013.2

Language：English   Presentation type：Oral presentation (general)  

Venue：Islamic Azad University (IAU)   Country：United Arab Emirates  

Event date： 2013.1 - 2013.2

Language：English   Presentation type：Oral presentation (general)  

Venue：Taichung   Country：Taiwan, Province of China  

Event date： 2012.12

Language：English   Presentation type：Oral presentation (general)  

Venue：Siem Reap   Country：Cambodia  

Event date： 2012.3

Presentation type：Oral presentation (general)  

Venue：Kagawa   Country：Japan  

Analysing Research Trends of Mobile Learning with the Milky Way

Event date： 2011.12

Presentation type：Oral presentation (general)  

Venue：Seoul   Country：Korea, Republic of  

Event date： 2011.12

Presentation type：Oral presentation (general)  

Venue：福岡   Country：Japan  

Event date： 2011.11 - 2011.12

Presentation type：Symposium, workshop panel (public)  

Venue：ChiangMai   Country：Thailand  

Event date： 2011.11

Presentation type：Oral presentation (general)  

Venue：福岡(九州大学)   Country：Japan  

Event date： 2011.11

Presentation type：Oral presentation (general)  

Venue：福岡   Country：Japan  

Event date： 2011.11

Presentation type：Oral presentation (general)  

Venue：沖縄   Country：Japan  

Learning by Searching －Learning Theory and Practice－
//We learn and acquire knowledge through various means, such as: learning new words by looking them up in a dictionary. In this paper, we advocate and theorize a new learning method called “Learning by Searching”. Based on this method, we constructed two practical examples of "Learning by Searching": a system for beginner researchers doing research trend surveys, and a system for helping to find a person who can assist to solve learning problems.

Event date： 2011.10

Presentation type：Oral presentation (general)  

Country：Japan  

Prototypical Human Learner Simulation by Multi-Layered Multi Agent System

Event date： 2011.9

Presentation type：Oral presentation (general)  

Venue：Dalian   Country：China  

Tetsuya Nakatoh, Chengjiu Yin, Hiroki Matsuura and Sachio Hirokawa, Visualization of Tourism Information using WordNet, Proc. of the 3rd International Conference on Awareness Science and Technology, pp. 413-418, Dalian, China, Sep. 27-30,2011.

Event date： 2011.8

Presentation type：Oral presentation (general)  

Venue：yamagata   Country：Japan  

Multidisciplinary Multi-Faceted Search Engine of Literatures on Tourism

Event date： 2011.6

Presentation type：Oral presentation (general)  

Country：Taiwan, Province of China  

Component-Based Search Engine for Blogs

Event date： 2011.3

Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   Country：China  

Event date： 2011.3

Presentation type：Symposium, workshop panel (public)  

Venue：福岡大学   Country：Japan  

Using Support Vector Machines for Fashion Recommendation System

Event date： 2011.3

Presentation type：Symposium, workshop panel (public)  

Venue：福岡大学   Country：Japan  

Search and Analysis of Gourmet Blogs with　a Particular Reference to Onomatopoeia

Event date： 2011.3

Presentation type：Symposium, workshop panel (public)  

Venue：福岡大学   Country：Japan  

Concept Chain based Serendipitous Search from Tourism Blog

Event date： 2011.3

Presentation type：Symposium, workshop panel (public)  

Venue：福岡大学   Country：Japan  

Component-based Web Search Engine and Its Ranking

Event date： 2011.3

Presentation type：Symposium, workshop panel (public)  

Venue：福岡大学   Country：Japan  

Matching System of Hotel Information and Blogs

Event date： 2011.1

Presentation type：Symposium, workshop panel (public)  

Venue：B-Con Plaza, Beppu   Country：Japan  

Extraction and Comparison of Tourism Information on the Web

Event date： 2010.12

Presentation type：Oral presentation (general)  

Venue：京都   Country：Japan  

Using SNS to Support Collaborative Learning in Mobile Learning Environment

Event date： 2010.11

Presentation type：Oral presentation (general)  

Venue：福岡   Country：Japan  

A Proposal of "TOIEBA" Search Engine for Tourism Event

Event date： 2010.9

Presentation type：Oral presentation (general)  

Venue：熊本   Country：Japan  

Extraction and Comparison of Tourism Information from the Web

Event date： 2010.3 - 2009.3

Presentation type：Oral presentation (general)  

Venue：Hubei University of Education   Country：China  

Research on PDA-Based Mobile Learning Environment

Event date： 2010.3

Presentation type：Oral presentation (general)  

Venue：Wuhan   Country：China  

An iPhone Quiz System for Learning Foreign Languages

Event date： 2009.11 - 2009.12

Venue：Hongkong   Country：China  

Mobile Phone-based Quiz System for Learning Foreign Culture

Event date： 2009.11

Presentation type：Oral presentation (general)  

Venue：東北大学   Country：Japan  

iPhone based foreign language learning system for creating materials

Event date： 2009.9

Presentation type：Oral presentation (general)  

Venue：東京大学   Country：Japan  

Event date： 2009.7

Presentation type：Oral presentation (general)  

Venue：Taiyuan   Country：China  

Event date： 2009.3

Presentation type：Symposium, workshop panel (public)  

Venue：Tokushima   Country：Japan  

Event date： 2008.12

Presentation type：Oral presentation (general)  

Venue：西日本総合展示場AIM ビル3 階展示場   Country：Japan  

Event date： 2008.10

Presentation type：Oral presentation (general)  

Venue：上越教育大学   Country：Japan  

Event date： 2008.9

Presentation type：Oral presentation (general)  

Venue：熊本大学   Country：Japan  

Language：English  

Venue：高知   Country：Other  

Educational Data Mining and Learning Analytics

Presentation type：Oral presentation (general)  

Venue：Melbourne   Country：Australia  

JAPELAS: Supporting the Learning of Japanese Polite Expressions with PDA

Presentation type：Oral presentation (general)  

Venue：岐阜大学   Country：Japan  

Presentation type：Oral presentation (general)  

Venue：四国電力(株)総合研究所   Country：Japan  

Study on the U-Learning System of Japanese Polite expressions

Presentation type：Oral presentation (general)  

Venue：Tokushima   Country：Japan  

LOCH: Supporting Informal Language Learning Outside the Classroom with Handhelds

Presentation type：Oral presentation (general)  

Venue：Tsukuba   Country：Japan  

Basic Support for Ubiquitous Learning Environment in the University

Presentation type：Oral presentation (general)  

Venue：Kerkrade   Country：Netherlands  

Supporting Mobile Language Learning outside Classrooms

Presentation type：Oral presentation (general)  

Venue：大阪経済大学   Country：Japan  

Presentation type：Oral presentation (general)  

Venue：大阪経済大学   Country：Japan  

Presentation type：Oral presentation (general)  

Venue：愛媛大学   Country：Japan  

Knowledge Management for Language Learning Outside the Classroom with Handhelds

Presentation type：Oral presentation (general)  

Venue：Alberta   Country：Canada  

Supporting ubiquitous language learning with RFID tags

Presentation type：Oral presentation (general)  

Venue：Athens   Country：Greece  

JAMIOLAS: Support Japanese Mimicry and Onomatopoeia Learning with Sensors

Presentation type：Oral presentation (general)  

Venue：Hiroshima   Country：Japan  

Computer Supported Ubiquitous Learning Environment for Japanese Mimicry and Onomatopoeia with Sensors (Supporting Learning Flow through Integrative Technologies, T. Hirashima et al. (Eda.), ISO Press)

Language：English  

Venue：Wuhan,China   Country：Other  

Introduction to the Case Studies of Big Data and Analytics

Language：English  

Venue：Jilin, China   Country：Other  

Introduction to the Case Studies of Educational Big Data

Language：Japanese  

Country：Other  

Language：English  

Country：Other  

Learning analytics and Educational Data Mining

Language：Japanese  

Country：Other  

Introduction the DX in Kobe University

Language：Japanese  

Country：Other  

Language：Japanese  

Country：Other  

Language：Others  

Country：Other  

Japanese Educational DX under the COVID-19

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

researchmap

Language：Chinese   Presentation type：Symposium, workshop panel (nominated)  

researchmap

Language：English   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：高知  

researchmap

Language：Japanese  

特集「ラーニング・アナリティクス最前線」

DOI： 10.18910/70428

Language：Japanese  

TP-1-5 Learning Analytics in Kyushu University

Language：Japanese  

TK-10-4 Learning Analytics in University Education

Language：Japanese  

Automatic Summarization of Lecture Slides

Language：Japanese  

Automatic Summarization of Lecture Slides

Language：Japanese  

Analyzing Learning Behavior of Educational Digital Contents
九州大学では平成25 年4 月から、学生全員のPC 必携化を行っている。これによりe-Learning を含む教育の情報化が進み、教育に関する様々なデータが蓄積されている。本稿では、教育用デジタルコンテンツ配信プラットフォームBookLooper（注1） を利用した半期の講議について、コンテンツ配信・閲覧の利用ログに対してテキストマイニングを適用することで、学習項目や学生や利用ソフトウェアごとの学習活動の特徴と違いを抽出した。

Language：Japanese  

Building a Learning Environment for Supporting Literature Review

Language：Japanese  

A Study of search engine practice using VM on a private cloud

Language：Japanese  

近 年，大学における情報機器を援用する教育活動や，情報科学技術の教育で,仮想化システムやクラウドシステムの利用が進んでいる。筆者らが所属する九州大学 情報基盤研究開発センターでは，2011年度末に CloudStack と VCL によるクラウドシステムを導入した。本稿では導入した VCL システムの構成を説明し，かつ検索エンジン構築演習に用いた事例を述べる。 また VCLシステムを使った演習で得た知見を述べ，かつ問題点についての改善策を考察する。

Language：Japanese  

Error Classification of English Writing Lessons
An important issue in education systems is the ability to determine the characteristics of a learner and then to provide suitable guidance in response. In this paper a system was built to classify a learner's errors into categories (Kroll 1990, Weltig 2004) with the purpose of identifying the error characteristics of a learner studying English composition. More specifically, machine learning was undertaken on the writings of learners on the Lang-8 foreign language learning community site.

Language：Japanese  

Building a MindMap with Twitter Data
In communication, it is important to get to know the common interests of each other. This paper proposes a method to extract keyword that represent the interests of individuals from their comments on SNS sites. Those keywords are visualized as a MindMap, which can be used as a communication tool. The effectiveness of the maps is evaluated in three examples

Language：English  

The one-way information communication provision does not impress listeners well. As an efficient way, Question & Answer can not only help listeners to comprehend the content of information but also help information providers understand the response of listeners. However, it is not easy for everyone to create suitable questions. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate quizzes by extracting feature words of the topic keyword from blogs. Our purpose is to help tourism information providers to advertise their tourism events in an interactive way, in order to impress tourists. When compared with other methods of quiz generation, we demonstrate that our method is more suitable for information communication provision. © 2012 ISAROB.

DOI： 10.1007/s10015-012-0076-7

Language：English  

Generation of Hen-ai Map from Search Log for Foreign Language Learning

Language：Japanese  

Comparison of Cuisine and Sweets using Onomatopeia
Since evaluation of food is subjective and the feeling is expressed in Japanese, onomatopoeia is used in many cases. In cooking and sweets, the onomatopoeia used is different. In order to grasp the meaning of onomatopoeia, we need to read and compare the situation where each onomatopoeia is used. In this report, the "Double Rank" method which the first author proposed is applied to Blog documents to compare and to analyze Blogs.set of all words gains the best performance if 90% of the data are used as a training data. However, the set of a small number of words with positive scores outperforms other feature sets, if the training data is only 10%. In such a realistic situation, the feature words are effective in improving discernment.

DOI： 10.11517/pjsai.JSAI2012.0_1M1OS8a2

Language：Others  

We aim at constructing the ontology of tourism by gathering the resources of tourism on WWW. For the purpose, we paid attention to actual behavior of tourists performed at each tourist resort described in blog articles. Gathering actual behavior of tourists appropriately enables extraction of a set of typical behavior of tourists by a statistical method. This paper reports the attempt of basic extraction of tourist behavior by Japanese dependency analysis. © 2012 ICIC International.

Language：Others  

A support system for research trend survey of scientific literature
We constructed a support system for research trend surveys not only to accelerate the preliminary step but also to let students have a better grips of trend progresses and keyword transitions. Our system dynamically searches relevant words that are frequently used in the targeted academic field and gives users effective visualizations to understand trend transitions.

Language：Japanese  

Cross-Tabulation Search Engine for Scientific Articles
研究を行う上で、関連文献の検索は必須だが、重要文献の検索だけでなく研究動向の把握にはファセット検索が有効である。本発表では、研究者、所属、雑誌、国際会議、年、キーワードなどの論文メタデータを分析軸とするクロス集計により検索結果を表示する文献検索システムを提案する。Search of related literature is indispensable in any research fields. Facet search is effective not only to search for important literature but also to grasp the research trend. The present paper proposes a faceted search engine which displays search results as the cross tabulation. Users can chose a pair of metadata for analysis axes, such as researchers, affiliations, journals, conferences, publication years, and keywords.

Language：Japanese  

Integration of SNS and Search Engine for Community-based Search
The investigation activities using a search engine are indispensable to acquisition of new knowledge. When we investigate using a search engine, we leave a memo if needed, seeing the search results to an input keyword. Depending on the case, search refinement and search by a new related keyword are repeated. However, it is difficult to share the knowledge and the experience acquired under investigation activities with the others. On the other hand, SNS which promotes relation with people and a person attracts attention. This paper proposes a community type search platform which combines a search engine and SNS. By seamless use of various activities in search and the mutual comments, users can share a problem or new knowledge.

Language：Japanese  

Learning by Searching : Learning Theory and Practice
We learn and acquire knowledge through various means, such as: learning new words by looking them up in a dictionary. In this paper, we advocate and theorize a new learning method called "Learning by Searching". Based on this method, we constructed two practical examples of "Learning by Searching": a system for beginner researchers doing research trend surveys, and a system for helping to find a person who can assist to solve learning problems.

Language：Others  

Extraction of subjective context-sensitive evaluation of Japanese onomatopoeic expressions and its applications
Onomatopoeic expressions are frequently used in Japanese but, as well as other types of subjective adjectival and adverbial expressions, their Kansei evaluative value, or their Kansei polarity, depends on genre and context and is difficult to describe, let alone their exact meaning. In this study, an automatic extraction method of Kansei polarities of Japanese onomatopoeic expressions according to genre and context is proposed. It uses the contrastive use of pair expressions with seemingly opposite Kansei polarities in different genres and contexts, and the results of our experiments indicate that our method is effective for better descriptions of onomatopoeic expressions. © 2011 ISSN 1881-803X.

Language：Japanese  

Prototypical Human Learner Simulation by Multi-Layered Multi Agent System
Various kinds of learner support systems have been proposed and employed, and their evaluation, whether it is at a developmental stage or at the employing stage, depends on learners, which is inevitable but which failure must be avoided as much as possible. For that purpose, it is desirable to employ a computer simulation, but the body of relevant knowledge, the model representing learning stages, and learner data are necessary. In this prototypical study, we propose a novel method to employ a multi-layered multi-agent simulation.

Language：Japanese  

Place Name Extraction from Blogs and Disambiguation

Language：English  

Search and analysis of gourmet blogs with a particular reference to onomatopoeia
Personal blogs contain many articles of the dish, sweets, impression and experience when the blogger visited the location. This kind of information is hardly obtained from pamphlets or homepages of hotels and travel agents. This paper proposes a search engine that focuses on the usage of onomatopoeic words that appear on these blogs. © 2011 ISSN 1881-803X.

Language：Japanese  

Concept Chain based Serendipitous Search from Tourism Blog
Blog has become a popular tool to share people's ideas including information of tourist attraction, gourmet restaurants and campaign. However, the large volumes of blogs have created the potential of a vast amount of valuable information buried in those corpus. This paper proposes a novel approach to discover potential relevant information based on Concept Chain, in order to provide a serendipitous search from tourism blog.

Language：Japanese  

Using Support Vector Machines for Fashion Recommendation System
It is difficult to analyze fashion information through the analysis of text collection because fashion is something that is influenced by people's emotions and feelings. In this paper, we extract the user's profiles from the questionnaire, and then propose an emotion presumption system to predict user's preferences. In this system, a Support Vector Machine is used to analyze fashion information.

Language：Japanese  

Component-based Web Search Engine and Its Ranking
It is difficult to analyze fashion information through the analysis of text collection because fashion is something that is influenced by people's emotions and feelings. In this paper, we extract the user's profiles from the questionnaire, and then propose an emotion presumption system to predict user's preferences. In this system, a Support Vector Machine is used to analyze fashion information.

Language：Japanese  

Matching System of Hotel Information and Blogs
Travel portals provide many information on hotels and inns. They are useful information for tourists who are considering to visit the location and the area. However, the external blog sites contain much more individual opinions and experiences of tourists, which can not be found in the official portal sites. This paper considers the possibility of the matching the information offered byportals and by blog sites.

Language：Japanese  

A Proposal of "TOIEBA" Search Engine for Tourism Event
With the development of the Web, there is lots of tourism information that can be used. We can search the information about making a reservation for hotel or booking transportation online, and search reputation from Blog. However, it is not easy to know something like, 1) "Are there anything special and interesting, and where we can find them?", and 2) "Where can we find anything special, and why is it special?" In this paper, utilizing online tourism information, extracting the feature of the tourism event that relates to the name of a place, we propose a TOIEBA (speaking of which) search engine which can also show the reason of the answer at the same time, called EBAKEN, for example, speaking of "MIYAZAKI", what's more than "KAGURAHANA".

Language：Japanese  

何か調べ事をするときには、検索エンジンを使うようになっている。しかし、一般の検索エンジンで網羅的に調べられたかどうかは分らない。我々は、特定の分野・対象の情報をWWW上から網羅的に収集し、収集データにもとづく専門的検索エンジンの構築について研究を行っている。本研究では、収集すべき情報として、特定の地域の観光情報を取り上げ、観光情報専門のサイトに記されている情報と、一般検索エンジンを用いて収集した情報を比較する。それにより、人手により収集された専門サイトと、一般検索エンジンから得られる情報の範囲と質の比較を行う。

Language：Japanese  

留学生のためのモバイル日本語学習支援システムの構築

Language：Japanese  

センサネットワークを用いた擬態語学習支援

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：5

Number of peer-reviewed articles in Japanese journals：2

Proceedings of International Conference Number of peer-reviewed papers：6

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：3

Number of peer-reviewed articles in Japanese journals：0

Proceedings of International Conference Number of peer-reviewed papers：0

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：5

Number of peer-reviewed articles in Japanese journals：0

Proceedings of International Conference Number of peer-reviewed papers：7

Type：Academic society, research group, etc. 

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：8

Number of peer-reviewed articles in Japanese journals：1

Proceedings of International Conference Number of peer-reviewed papers：10

Type：Academic society, research group, etc. 

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：12

Number of peer-reviewed articles in Japanese journals：1

Proceedings of International Conference Number of peer-reviewed papers：3

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：10

Number of peer-reviewed articles in Japanese journals：1

Proceedings of International Conference Number of peer-reviewed papers：7

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