担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Interactive Learning Environments  

We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing image pairs of natural images and their corresponding pencil drawings. Using the pencil drawing learning system, students can paint pencil drawings whenever they want and for whatever they like by uploading an image of the content they want to draw and getting a pencil drawing example of the uploaded image from the system. With the returned pencil drawing, students will see the pencil drawing effect of natural scenes clearly and realize how to draw the pencil drawing for the natural scene. Besides, with students using the pencil drawing learning system, it will be convenient for teachers assigning homework to students. Teachers can know the learning demands of students by evaluating the hand-in homework and update the content correspondingly. We have conducted two user studies for evaluating the practicality of the system, and the result of the two user studies demonstrated the applicability and practicality of the system.

DOI： 10.1080/10494820.2019.1636827

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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Educational Technology and Society  

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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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）  

CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Interactive Learning Environments  

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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記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1080/10494820.2019.1635395

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1080/10494820.2019.1667150

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.".

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Learning Japanese Beyond the Classroom: Recommended CALL Tools

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1080/10494820.2017.1287338

記述言語：日本語  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1080/10494820.2014.998863

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

For junior researchers who are just beginning their research journeys, it is very important for them to conduct a research survey to collect the information required for them to build a knowledge foundation of the field, and using this information to guide the planning phases of their research projects. This is often a time-consuming process for junior and senior researchers alike. As a result, we have developed a Cross Tabulation Search Engine (CTSE). The purpose of this engine is to assist researchers to 1) conduct research surveys, 2) retrieve efficiently and effectively information (such as important researchers, research groups, keywords), and also 3) provide 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, for example, by comparing the number of papers (retrieved by the system) to determine which country has been more actively in the specified research area. To show the effectiveness of CTSE, a pilot experiment has been conducted, where participants were arranged to do some research survey tasks and then answer a questionnaire regarding the effectiveness and usability of the system. The experimental 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, results from the questionnaires showed that most students had favorable attitudes toward the usage and usability of the system. In summary, the study results showed that by using the CTSE system, it was possible that students could gain more knowledge in a particular research field as well as in different research fields, in a short period of time. Additionally, students commented that they wanted to use the system in the future for assisting them to conduct research. The implementation of this system and the study results are elaborated on in this paper. As part of our future work, we plan to extend the system for promoting social collaborative learning activities between individual learners.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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．

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Educational Technology and Society  

The emergence of Generative AI such as ChatGPT—a cutting-edge pre-trained language model— has garnered unprecedented attention from educational researchers worldwide. Its remarkable performance in knowledge generation and natural language dialogue has sparked global scholarly interest in its implications for education. Research on higher-order thinking skills (HOTS) has predominantly been conducted in K-12 education. However, despite our aging society, there has been scant investigation into students’ HOTS regarding supportive caregiving for elderly adults, particularly from the perspective of Embodied Cognition Theory (ECT). This study examined the potential of ChatGPT to enhance students’ reflective writing skills. We investigated how ChatGPT assists students in exploring “Conflicts of Roles in Home Care for the Elderly” through reflective writing to understand their perceptions of caregiving and analyze their HOTS. A quasi-experiment was conducted to compare learning attitudes and empathy between an experimental group and control group. Students’ reflective writing was coded into six categories. The results indicated that students using the ChatGPT-integrated ECT learning method demonstrated significantly better learning attitudes and empathy. Although there was no significant difference in HOTS scores between the two groups, the Epistemic Network Analysis (ENA) results revealed that the experimental group exhibited a more diverse and interconnected conceptual understanding. This study integrated ECT with ChatGPT and employed ENA, contributing to theoretical and practical adjustments in learning environment frameworks based on an analysis of students’ understanding of the material.

DOI： 10.30191/ETS.202501_28(1).TP03

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Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：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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掲載種別：研究論文（学術雑誌）   出版者・発行元：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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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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その他リンク： https://dblp.uni-trier.de/db/conf/hci/hci2024-39.html#ZhouNOCY24

担当区分：筆頭著者,　責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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

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その他リンク： https://dblp.uni-trier.de/db/conf/iiaiaai/iiaiaai2024.html#YinSLL24

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

Web of Science

担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

Web of Science

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

出版者・発行元：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

出版者・発行元：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

出版者・発行元：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

出版者・発行元：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

担当区分：最終著者,　責任著者   掲載種別：研究論文（国際会議プロシーディングス）  

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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担当区分：最終著者,　責任著者   掲載種別：研究論文（国際会議プロシーディングス）  

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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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：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

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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

DOI： 10.1109/ICAIE56796.2023.00005

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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

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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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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その他リンク： https://dblp.uni-trier.de/db/conf/iiaiaai/iiaiaai2023.html#ZhaoKY23

掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：Proceedings - 2023 International Conference on Artificial Intelligence and Education, ICAIE 2023  

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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：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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Web of Science

Web of Science

掲載種別：研究論文（国際会議プロシーディングス）  

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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出版者・発行元：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

掲載種別：研究論文（国際会議プロシーディングス）  

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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出版者・発行元：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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：その他   掲載種別：研究論文（学術雑誌）  

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.

担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

Web of Science

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語  

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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1109/ICIME.2018.00006

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

Supporting Teaching/Learning with Automatically Generated Quiz System

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語  

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

記述言語：日本語  

現在教育分野では、さまざまな教育支援システムから学修ログを収集・解析し、教育改善等に役立てるラーニングアナリティクスの研究が進められている。例えば、OER（Open Educational Resources）や MOOCs（Massive Open Online Courses）などのオンラインシステムの学修ログを用いて、ラーニングアナリティクスを行い、その結果を学修支援や教育改善に生かすことができるということが確認された。しかし、これまでの研究はオンライン授業でデータを収集し分析するものが多く、実際の対面の授業において、学修行動ログを自動収集して、それらの行動連鎖について分析し、分析結果を教材改善に生かすと言った研究はほとんど存在しない。これに対し、本研究では、学修行動ログを自動収集可能な電子教材閲覧システムを開発し、実際の授業に導入した。システムに残された学修行動ログを用いて系列分析を行い、学修行為間の行動系列を分析し、その分析結果は教材や電子教材閲覧システムの改善に利用可能であることが示された。

DOI： 10.24546/81010172

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語  

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

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：英語   掲載種別：研究論文（その他学術会議資料等）  

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

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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".

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Peer Knowledge Assisted Search Using Community Search Logs

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：その他   掲載種別：研究論文（学術雑誌）  

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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

© 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.

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

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.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

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。

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.4018/jdet.2010100103

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（大学，研究機関等紀要）  

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)

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

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)

記述言語：日本語  

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。

開催年月日： 2012年9月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Fukuoka   国名：日本国  

開催年月日： 2012年3月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Kagawa   国名：日本国  

Recommendation of helpers based on personal connections in mobile learning

開催年月日： 2012年2月

会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

開催地：東京放送大学学園本部 附属図書館 3階AVホール   国名：日本国  

従来の授業では「先生が教え、学生は聞く」だけという、講師から学生への一方通行的な授業がほとんどである。このような授業では学生は話を聴いているだけで受身の形となってしまい、インタラクションが欠けると考えられる。また、講義によっては難しい概念や理解しにくい内容を説明するとき、学生が眠くなる場合もある。このような授業ではモチベーションの維持というのは難しくなると考えられる。そこで、学生を積極的に参加させることや講義に面白みを持たせモチベーションを上げるため、従来授業へモバイルラーニング環境における参加型フレームワークを導入することを提案する。該当フレームワークに基づく２つのシステムJAPELASとALGOSを開発し、有効性を確かめた。

開催年月日： 2011年12月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：Hongkong   国名：中華人民共和国  

開催年月日： 2011年11月 - 2011年12月

会議種別：口頭発表（一般）  

開催地：Chiang Mai   国名：タイ王国  

A Support System for Research Trend Survey of Scientific Literature

開催年月日： 2011年10月

会議種別：口頭発表（一般）  

開催地：Dalian   国名：中華人民共和国  

開催年月日： 2011年9月

会議種別：口頭発表（一般）  

開催地：Dalian   国名：中華人民共和国  

開催年月日： 2010年12月

会議種別：口頭発表（一般）  

開催地：Shanghai   国名：中華人民共和国  

A Proposal of "TOIEBA" Search Engine for Tourism Event

開催年月日： 2010年11月 - 2010年12月

会議種別：口頭発表（一般）  

開催地：Putrajaya   国名：マレーシア  

開催年月日： 2010年11月 - 2010年12月

会議種別：口頭発表（一般）  

開催地：Putrajaya   国名：マレーシア  

開催年月日： 2010年11月 - 2010年12月

会議種別：口頭発表（一般）  

開催地：Putrajaya   国名：マレーシア  

開催年月日： 2010年4月

会議種別：口頭発表（一般）  

開催地：Kaohsiung   国名：台湾  

A Language Exchange SNS in Ubiquitous Environment

開催年月日： 2010年4月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：KAOHSIUNG   国名：台湾  

This reasearch introduce the mobile learning in Mainland China. Mobile learning has lots of potential users in China, these users need to keep on learning anywhere, anytime. To do this survey, I found a special tool is used for mobile learning in mainland China, it is mobile QQ. As a mobile learning tool, mobile QQ is a very useful tool to support learning, it will be more helpful and useful in the future. The mobile learning is still in its infancy in mainland China. There are many researchers are paying attention to the mobile learning. They are doing some attempts on it.

開催年月日： 2009年11月 - 2009年12月

開催地：Hongkong   国名：中華人民共和国  

Building a Participation Simulation Mobile Learning Environment through Scaffolding Technique

開催年月日： 2009年11月

会議種別：口頭発表（一般）  

開催地：Shanghai   国名：中華人民共和国  

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

開催年月日： 2009年9月

会議種別：口頭発表（一般）  

開催地：Beijing   国名：中華人民共和国  

開催年月日： 2009年8月

会議種別：口頭発表（一般）  

開催地：Sydney   国名：オーストラリア連邦  

開催年月日： 2009年7月

会議種別：口頭発表（一般）  

開催地：Taiyuan   国名：中華人民共和国  

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.

会議種別：口頭発表（一般）  

開催地：Tokushima   国名：日本国  

Ubiquitous-Learning System for the Japanese Polite Expressions

会議種別：口頭発表（一般）  

開催地：Tsukuba   国名：日本国  

Learning Japanese Polite Expression in Ubiquitous

開催地：Kerkrade   国名：オランダ王国  

PSSLSA: Participatory Simulation System for Learning Sorting Algorithms

会議種別：口頭発表（一般）  

開催地：Alberta   国名：カナダ  

Using Participatory Simulation Support Learning Algorithms

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：Beijing   国名：中華人民共和国  

Participatory Simulation System to Support Learning Computer Science

会議種別：口頭発表（一般）  

開催地：Hirashima   国名：日本国  

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

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：Hiroshima   国名：日本国  

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

記述言語：日本語  

開催地：東京   国名：その他  

記述言語：英語  

開催地：Taichung, Taiwan   国名：その他  

Introduction to the Case Studies of Learning Analytics

記述言語：英語  

開催地：Osaka University, Japan   国名：その他  

E-book based Educational Data Mining

記述言語：その他  

国名：その他  

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

記述言語：日本語  

国名：その他  

記述言語：英語  

国名：その他  

E-Books based Learning Analytics in Japan

開催年月日： 2023年12月

記述言語：英語  

国名：その他  

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

開催年月日： 2023年12月

記述言語：英語   会議種別：シンポジウム・ワークショップ パネル（指名）  

researchmap

開催年月日： 2023年9月

記述言語：日本語  

国名：その他  

開催年月日： 2023年9月

記述言語：日本語   会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

researchmap

開催年月日： 2021年10月

記述言語：英語  

国名：その他  

e-Book-based Learning Analytics in Japanese University Education

開催年月日： 2021年10月

記述言語：英語   会議種別：口頭発表（招待・特別）  

researchmap

開催年月日： 2021年10月

記述言語：日本語  

国名：その他  

開催年月日： 2021年10月

記述言語：日本語   会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

researchmap

開催年月日： 2013年12月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：幕張メッセ国際会議場   国名：日本国  

開催年月日： 2013年12月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：幕張メッセ国際会議場   国名：日本国  

開催年月日： 2013年11月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Denpasar Bali   国名：インドネシア共和国  

開催年月日： 2013年11月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Bangkok   国名：タイ王国  

開催年月日： 2013年10月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：北陸先端科学技術大学院大学   国名：日本国  

開催年月日： 2013年9月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：秋田大学   国名：日本国  

開催年月日： 2013年8月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：富士通(株),東京   国名：日本国  

九州大学では、2013年度の学部新入生より、講義、自習のための個人用PCの必携化を実施している。それに合わせて、学生が個人用PCを使用するための環境整備として、教育用無線LANを整備し、また学生個人のパソコンを利用した授業の学習環境をできるだけ揃えるために、「新入生ＰＣ講習会」を実施した。講習会の内容は、講義に使用する学生アカウントの有効化、無線LANの設定、ソフトウェアのインストールなどである。講習会への学部新入生の出席率は99%であった。現在「情報処理演習」などの授業では学生の個人のパソコンが利用されており、何の混乱もなく授業が行われている。本報告では、九州大学でのPC必携化のために実施したPC講習会の実施状況とその結果について報告する。

開催年月日： 2013年6月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Sesimbra   国名：ポルトガル共和国  

開催年月日： 2013年5月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：機械振興会館,東京   国名：日本国  

開催年月日： 2013年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：熊本大学   国名：日本国  

開催年月日： 2013年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：熊本大学   国名：日本国  

開催年月日： 2013年1月 - 2013年2月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Islamic Azad University (IAU)   国名：アラブ首長国連邦  

開催年月日： 2013年1月 - 2013年2月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Taichung   国名：台湾  

開催年月日： 2012年12月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Siem Reap   国名：カンボジア王国  

開催年月日： 2012年3月

会議種別：口頭発表（一般）  

開催地：Kagawa   国名：日本国  

Analysing Research Trends of Mobile Learning with the Milky Way

開催年月日： 2011年12月

会議種別：口頭発表（一般）  

開催地：Seoul   国名：大韓民国  

開催年月日： 2011年12月

会議種別：口頭発表（一般）  

開催地：福岡   国名：日本国  

開催年月日： 2011年11月 - 2011年12月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：ChiangMai   国名：タイ王国  

開催年月日： 2011年11月

会議種別：口頭発表（一般）  

開催地：福岡(九州大学)   国名：日本国  

開催年月日： 2011年11月

会議種別：口頭発表（一般）  

開催地：福岡   国名：日本国  

開催年月日： 2011年11月

会議種別：口頭発表（一般）  

開催地：沖縄   国名：日本国  

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.

開催年月日： 2011年10月

会議種別：口頭発表（一般）  

国名：日本国  

Prototypical Human Learner Simulation by Multi-Layered Multi Agent System

開催年月日： 2011年9月

会議種別：口頭発表（一般）  

開催地：Dalian   国名：中華人民共和国  

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.

開催年月日： 2011年8月

会議種別：口頭発表（一般）  

開催地：yamagata   国名：日本国  

Multidisciplinary Multi-Faceted Search Engine of Literatures on Tourism

開催年月日： 2011年6月

会議種別：口頭発表（一般）  

国名：台湾  

Component-Based Search Engine for Blogs

開催年月日： 2011年3月

会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

開催地：EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   国名：中華人民共和国  

開催年月日： 2011年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：福岡大学   国名：日本国  

Using Support Vector Machines for Fashion Recommendation System

開催年月日： 2011年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：福岡大学   国名：日本国  

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

開催年月日： 2011年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：福岡大学   国名：日本国  

Concept Chain based Serendipitous Search from Tourism Blog

開催年月日： 2011年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：福岡大学   国名：日本国  

Component-based Web Search Engine and Its Ranking

開催年月日： 2011年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：福岡大学   国名：日本国  

Matching System of Hotel Information and Blogs

開催年月日： 2011年1月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：B-Con Plaza, Beppu   国名：日本国  

Extraction and Comparison of Tourism Information on the Web

開催年月日： 2010年12月

会議種別：口頭発表（一般）  

開催地：京都   国名：日本国  

Using SNS to Support Collaborative Learning in Mobile Learning Environment

開催年月日： 2010年11月

会議種別：口頭発表（一般）  

開催地：福岡   国名：日本国  

A Proposal of "TOIEBA" Search Engine for Tourism Event

開催年月日： 2010年9月

会議種別：口頭発表（一般）  

開催地：熊本   国名：日本国  

Extraction and Comparison of Tourism Information from the Web

開催年月日： 2010年3月 - 2009年3月

会議種別：口頭発表（一般）  

開催地：Hubei University of Education   国名：中華人民共和国  

This research focuses on the design and implementation of a PDA-based mobile learning environment that supports the effective collaboration between learners in a computer-supported collaborative learning (CSCL) environment. We used the PDA-based learning environment to get more active participation and interaction among the students, and to help learners to understand easily and to use the environment for improving the traditional education, which is normally one-way where the teacher speaks and the students listen.

開催年月日： 2010年3月

会議種別：口頭発表（一般）  

開催地：Wuhan   国名：中華人民共和国  

An iPhone Quiz System for Learning Foreign Languages

開催年月日： 2009年11月 - 2009年12月

開催地：Hongkong   国名：中華人民共和国  

Mobile Phone-based Quiz System for Learning Foreign Culture

開催年月日： 2009年11月

会議種別：口頭発表（一般）  

開催地：東北大学   国名：日本国  

iPhone based foreign language learning system for creating materials

開催年月日： 2009年9月

会議種別：口頭発表（一般）  

開催地：東京大学   国名：日本国  

開催年月日： 2009年7月

会議種別：口頭発表（一般）  

開催地：Taiyuan   国名：中華人民共和国  

開催年月日： 2009年3月

会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：Tokushima   国名：日本国  

開催年月日： 2008年12月

会議種別：口頭発表（一般）  

開催地：西日本総合展示場AIM ビル3 階展示場   国名：日本国  

開催年月日： 2008年10月

会議種別：口頭発表（一般）  

開催地：上越教育大学   国名：日本国  

開催年月日： 2008年9月

会議種別：口頭発表（一般）  

開催地：熊本大学   国名：日本国  

記述言語：英語  

開催地：高知   国名：その他  

Educational Data Mining and Learning Analytics

会議種別：口頭発表（一般）  

開催地：Melbourne   国名：オーストラリア連邦  

JAPELAS: Supporting the Learning of Japanese Polite Expressions with PDA

会議種別：口頭発表（一般）  

開催地：岐阜大学   国名：日本国  

会議種別：口頭発表（一般）  

開催地：四国電力(株)総合研究所   国名：日本国  

Study on the U-Learning System of Japanese Polite expressions

会議種別：口頭発表（一般）  

開催地：Tokushima   国名：日本国  

LOCH: Supporting Informal Language Learning Outside the Classroom with Handhelds

会議種別：口頭発表（一般）  

開催地：Tsukuba   国名：日本国  

Basic Support for Ubiquitous Learning Environment in the University

会議種別：口頭発表（一般）  

開催地：Kerkrade   国名：オランダ王国  

Supporting Mobile Language Learning outside Classrooms

会議種別：口頭発表（一般）  

開催地：大阪経済大学   国名：日本国  

会議種別：口頭発表（一般）  

開催地：大阪経済大学   国名：日本国  

会議種別：口頭発表（一般）  

開催地：愛媛大学   国名：日本国  

Knowledge Management for Language Learning Outside the Classroom with Handhelds

会議種別：口頭発表（一般）  

開催地：Alberta   国名：カナダ  

Supporting ubiquitous language learning with RFID tags

会議種別：口頭発表（一般）  

開催地：Athens   国名：ギリシャ共和国  

JAMIOLAS: Support Japanese Mimicry and Onomatopoeia Learning with Sensors

会議種別：口頭発表（一般）  

開催地：Hiroshima   国名：日本国  

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)

記述言語：英語  

開催地：Wuhan,China   国名：その他  

Introduction to the Case Studies of Big Data and Analytics

記述言語：英語  

開催地：Jilin, China   国名：その他  

Introduction to the Case Studies of Educational Big Data

記述言語：日本語  

国名：その他  

記述言語：英語  

国名：その他  

Learning analytics and Educational Data Mining

記述言語：日本語  

国名：その他  

Introduction the DX in Kobe University

記述言語：日本語  

国名：その他  

記述言語：日本語  

国名：その他  

記述言語：その他  

国名：その他  

Japanese Educational DX under the COVID-19

記述言語：日本語   会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

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記述言語：中国語   会議種別：シンポジウム・ワークショップ パネル（指名）  

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記述言語：英語   会議種別：公開講演，セミナー，チュートリアル，講習，講義等  

開催地：高知  

researchmap

記述言語：日本語  

特集「ラーニング・アナリティクス最前線」

DOI： 10.18910/70428

記述言語：日本語  

TP-1-5 Learning Analytics in Kyushu University

記述言語：日本語  

TK-10-4 Learning Analytics in University Education

記述言語：日本語  

Automatic Summarization of Lecture Slides

記述言語：日本語  

Automatic Summarization of Lecture Slides

記述言語：日本語  

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。

記述言語：日本語  

Building a Learning Environment for Supporting Literature Review

記述言語：日本語  

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

記述言語：日本語  

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。

記述言語：日本語  

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.

記述言語：日本語  

コミュニケーションにおいて、自分と相手の興味、興味の共通点を知ることは重要である。本研究では、SNS上の個人のデータや日記などの個人の興味が現れる情報から興味を抽出し、マインドマップを生成する。これによって、共通の話題を探すことができ、コミュニケーションの活性化を行うことができる。

記述言語：英語  

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

記述言語：英語  

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

記述言語：日本語  

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

記述言語：その他  

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.

記述言語：その他  

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.

記述言語：日本語  

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.

記述言語：日本語  

検索エンジンを使った調査活動は新しい知識の獲得に必須である。検索エンジンを使って調査をするときは,入カキーワードに対する検索結果を見て,必要に応じてメモを残し,場合によっては絞り込み検索や,関連する新なキーワードによる検索を繰り返す。しかし,そうして得られる知識や,調査活動中の経験を他者と共有することは困難である。一方,人と人とのつながりを促進するSNSが注目を集めている。本稿では,検索エンジンとSNSを結合したコミュニティ型検索プラットフォームを提案する。検索や調査記録,あるいはユーザー間の相互コメントなどの様々な活動をシームレスに利用することで,調査中であっても,問題点や新な知識の共有が可能となる.

記述言語：日本語  

我々は様々な手段によって学習し,知識を獲得している.例えば分からない単語があると,辞書で調べるというのもその一つである.本論文では「Learning by Searching」(調べることで学ぶ)という新かな学習方法を提唱・理論化すると共に,2つの実践例も紹介する.1つは研究を始めたばかりの学生を対象にした研究動向調査調システム,もう1つは問題を解決できる人を探し出すシステムである.

記述言語：その他  

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.

記述言語：日本語  

近年になり,学習者モデル,知識モデルを構築した上で学習支援システムを構築する試みが増えており,限定的にであれ計算機的に事前評価する手法が改めて求められている.本研究では,その前段階として,スキル学習を少なくとも戦略面とコンテンツ面の複数層に分かれる知識とその運用を学ぶこととみなし,その知識モデルを構築した上で,実学習者のデータを元に学習進展プロセスを計算機でシミュレートする方法について検討した.

記述言語：日本語  

Place Name Extraction from Blogs and Disambiguation

記述言語：英語  

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.

記述言語：日本語  

コミュニケーションにおいて、自分と相手の興味、興味の共通点を知ることは重要である。本研究では、SNS上の個人のデータや日記などの個人の興味が現れる情報から興味を抽出し、マインドマップを生成する。これによって、共通の話題を探すことができ、コミュニケーションの活性化を行うことができる。

記述言語：日本語  

感性的な要素が多く含むファッション情報は、単純なテキスト解析では困難な課題である。本発表では、アンケートからユーザープロファイルを抽出し、SVMを用いてユーザーの嗜好を推定するシステムを提案し、その実験結果について報告する

記述言語：日本語  

感性的な要素が多く含むファッション情報は、単純なテキスト解析では困難な課題である。本発表では、アンケートからユーザープロファイルを抽出し、SVMを用いてユーザーの嗜好を推定するシステムを提案し、その実験結果について報告する

記述言語：日本語  

旅行サイトにある、ホテルや旅館を利用した人のコメントは他の利用者に役に立つ情報である。しかし、外部のブログサイトには、そのホテル周辺の情報や、その時の旅行記など、もっと役立つ情報がある。本発表では、宿泊施設自身が提供する情報と、一般的Web ユーザの個人的なブログ情報のマッチングシステムの可能性について考察する。

記述言語：日本語  

Webの発達により,ホテルや交通手段の検索や予約,ブログによる評判情報の検索など,多くの観光情報を利用できるようになった.しかし,どこに何があるか,どこがどう良いか,どこにでもあるわけではないものは何かを知るのは容易ではない.本発表では,Web上の観光情報を利用し,「宮崎」といえば「神楽 花」のように,地名に関連する観光イベントの特徴を抽出し,その根拠とともに提示する「といえば検索」を提案する.

記述言語：日本語  

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。

記述言語：日本語  

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

記述言語：日本語  

センサネットワークを用いた擬態語学習支援

種別：査読等 

外国語雑誌　査読論文数：5

日本語雑誌　査読論文数：2

国際会議録　査読論文数：6

種別：査読等 

外国語雑誌　査読論文数：3

日本語雑誌　査読論文数：0

国際会議録　査読論文数：0

種別：査読等 

外国語雑誌　査読論文数：5

日本語雑誌　査読論文数：0

国際会議録　査読論文数：7

種別：学会・研究会等 

種別：査読等 

外国語雑誌　査読論文数：8

日本語雑誌　査読論文数：1

国際会議録　査読論文数：10

種別：学会・研究会等 

種別：査読等 

外国語雑誌　査読論文数：12

日本語雑誌　査読論文数：1

国際会議録　査読論文数：3

種別：査読等 

外国語雑誌　査読論文数：10

日本語雑誌　査読論文数：1

国際会議録　査読論文数：7

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：学会・研究会等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等 

種別：大会・シンポジウム等