Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Shin'ichi Konomi Last modified date:2019.06.27

Professor / Division for Theoretical Natural Science / Faculty of Arts and Science


Presentations
1. Shin'ichi Konomi, Learning Analytics for All: Opportunities and Challenges, Workshop of Human Centered Design Approach in Digitalization Age, 2019.04.
2. Shin'ichi Konomi, Technology-Enhanced Learning Environments for Older Adults, Gerontechnology Symposium 2018, 2018.09.
3. Shin'ichi Konomi, Learning Analytics for All: Opportunities and Challenges., The 7th Asian Workshop on Smart Sensor Systems, 2019.03.
4. Masanori Yamada Atsushi Shimada Misato Terai Yuta Taniguchi Shinichi Konomi, Br-MAP: Concept map system using e-book logs, Proceedings of the 15th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2018, 2018.01, This preliminary study developed the concept map tool “BR-Map” using learning logs on eBook viewer, and investigated the relationships between self-regulated learning (SRL) awareness, learning behaviors (usage of BR-Map, and one-minute paper and report submission), and learning performance. Psychometric data and learning logs were collected in the lecture course, and their relationships were analyzed using Spearman’s correlation analysis. The results indicated that awareness of intrinsic value, use of cognitive learning strategies, and self-regulation had significant correlations with the usage of BR-Map. The awareness of cognitive learning strategies had significant correlation with standard deviation of one-minute paper submission hours. With regard to relationships between the BR-Map usage and learning behaviors, the relationships between the usage of BR-Map and one-minute paper submissions, which was a regularly weekly assigned task, were found..
5. Shiman Cui Yuta Taniguchi Shin'ichi Konomi, Data-Driven Feedback for Students Based on Word Clouds, Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.09.
6. Boxuan Ma @Yuta Taniguchi @Shin'ichi Konomi, Comparative Analysis of Adaptive Learning Path Recommendation Algorithms, Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.09.
7. @Boxuan Ma @Yuta Taniguchi @Shin'ichi Konomi, Learning path recommendation in university environments based on sequence mining, The 81th National Convention of IPSJ, 2019.03.
8. Boxuan Ma Yuta Taniguchi Shin’ichi Konomi, Design a Course Recommendation System Based on Association Rule for Hybrid Learning Environments., 2019 Hinokuni - Land of Fire Information Processing Symposium / 火の国情報シンポジウム2019, 2019.03.
9. Tetsuya Shiino Atsushi Shimada Tsubasa Minematsu Kohei Hatano Yuta Taniguchi Shin'ichi Konomi Rinichiro Taniguchi, Page-wise Difficulty Level Estimation using e-Book Operation Logs, Proceedings of the 9th International Learning Analytics and Knowledge Conference, 2019.03.
10. Tsubasa Minematsu Kaori Tamura Atsushi Shimada Shin’ichi Konomi Rin-ichiro Taniguchi, Analytics of Reading Patterns Based on Eye Movements in an e-Learning System, Proceedings of the 30th international conference of the Society for Information Technology and Teacher Education, 2019.03.
11. Yuta Taniguchi Atsushi Shimada Masanori Yamada Shin'ichi Konomi, Recommending Highlights on Students' E-Textbooks, Proceedings of the 30th international conference of the Society for Information Technology and Teacher Education, 2019.03.
12. Kaori Tamura Min Lu Shin'ichi Konomi Kohei Hatano Miyuki Inaba Misato Oi Tsuyoshi Okamoto Fumiya Okubo Atsushi Shimada Jingyun Wang Masanori Yamada Yuki Yamada, Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages., Proceedings of the 7th International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI 2019), Held as Part of HCI International 2019, Orlando, FL, July 26-31, 2019, Lecture Notes in Computer Science, Springer, Berlin/Heidelberg,, 2019.07.
13. Li Chen Hirokazu Uemura Hao Hao Yoshiko Goda Fumiya Okubo Yuta Taniguchi Misato Terai Shinichi Konomi Hiroaki Ogata Masanori Yamada, Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, 2019.01, This study was designed to identify correlations between students' awareness of Collaborative Problem Solving (CPS) and learning performance and learning behavior in science education. The topic of the course was Genetic Diseases which was implemented in a twelfth-grade class. To assess the effectiveness of this instructional design, and to find out potential factors that affect the using of CPS skills, multiple data sources including learning test scores, questionnaire feedback, and learning logs were analyzed. First, results indicated significant improvements in students' knowledge acquisition and awareness of Participation and Learning and Knowledge Building in CPS during the course. Furthermore, when we investigated the correlations between CPS awareness and learning performance and learning behavior, the findings indicated significant positive correlations between students' learning motivation and their awareness of CPS processes. However, there were negative correlations found between certain learning behavior factors with CPS awareness and learning motivation factors respectively..
14. Huiyong Li Hiroaki Ogata Tomoyuki Tsuchiya Yubun Suzuki Satoru Uchida Hiroshi Ohashi Shin’ichi Konomi, Using Learning Analytics to Support Computer-Assisted Leanguage Learning, Proceedings of the 25th International Conference on Computers in Education (ICCE2017), pp.908-913, 2017.12.
15. Shin'ichi Konomi Tomoyo Sasao, Designing a Mobile Behavior Sampling Tool for Spatial Analytics, Distributed, Ambient, and Pervasive Interactions - Sixth International Conference, DAPI 2018, Held as Part of HCI Interational 2018. Proceedings. Lecture Notes in Computer Science, Springer., 2018.07.
16. Masanori Yamada Misato Oi Shin'ichi Konomi, Effective learning environment design for aging well: A review, Distributed, Ambient, and Pervasive Interactions - Sixth International Conference, DAPI 2018, Held as Part of HCI Interational 2018. Proceedings. Lecture Notes in Computer Science, Springer., 2018.07.
17. Yuta Taniguchi Yiduo Gao Kentaro Kojima Shin’ichi Konomi, Evaluating Learning Style-based Grouping Strategies in Real-world Collaborative Learning Environment, Distributed, Ambient, and Pervasive Interactions - Sixth International Conference, DAPI 2018, Held as Part of HCI Interational 2018. Proceedings. Lecture Notes in Computer Science, Springer., 2018.07.
18. Shin'ichi Konomi Kohei Hatano Miyuki Inaba Misato Oi Tsuyoshi Okamoto Fumiya Okubo Atsushi Shimada Jingyun Wang Masanori Yamada Yuki Yamada, Towards Supporting Multigenerational Co-Creation and Social Activities: Extending Learning Analytics Platforms and Beyond, Distributed, Ambient, and Pervasive Interactions - Sixth International Conference, DAPI 2018, Held as Part of HCI Interational 2018. Proceedings. Lecture Notes in Computer Science, Springer., 2018.07.
19. Shinichi Konomi Kohei Hatano Miyuki Inaba Misato Oi Tsuyoshi Okamoto Fumiya Okubo Atsushi Shimada Jingyun Wang Masanori Yamada Yuki Yamada, Extending Learning Analytics Platforms to Support Elderly People, Presented at the 12th International Workshop on Information Search, Integration, and Personalization (ISIP 2018), May 14-15, 2018, Kyushu University, Fukuoka, Japan., 2018.05.
20. Simo Johannes Hosio Jaro Karppinen Esa Pekka Takala Jani Takatalo Jorge Goncalves Niels Van Berkel Shin'ichi Konomi Vassilis Kostakos, Crowdsourcing treatments for low back pain, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, 2018.04, Low back pain (LBP) is a globally common condition with no silver bullet solutions. Further, the lack of therapeutic consensus causes challenges in choosing suitable solutions to try. In this work, we crowdsourced knowledge bases on LBP treatments. The knowledge bases were used to rank and offer best-matching LBP treatments to end users. We collected two knowledge bases: one from clinical professionals and one from non-professionals. Our quantitative analysis revealed that non-professional end users perceived the best treatments by both groups as equally good. However, the worst treatments by nonprofessionals were clearly seen as inferior to the lowest ranking treatments by professionals. Certain treatments by professionals were also perceived significantly differently by non-professionals and professionals themselves. Professionals found our system handy for self-reflection and for educating new patients, while non-professionals appreciated the reliable decision support that also respected the non-professional opinion..
21. Atsushi Shimada Yuta Taniguchi Fumiya Okubo Shinichi Konomi Hiroaki Ogata, Online Change Detection for Monitoring Individual Student Behavior via Clickstream Data on e-Book System, Proceedings of the 8th International Conference on Learning Analytics & Knowledge (LAK’18), pp.446-450, 2018.03.
22. Fumiya Okubo Takayoshi Yamashita Atsushi Shimada Yuta Taniguchi Shin'ichi Konomi, On the Prediction of Students' Quiz Score by Recurrent Neural Network, Companion Proceedings of the 8th International Conference on Learning Analytics & Knowledge (LAK'18), 2018.03.
23. Chen, L. Umemura, H. Goda, Y. Okubo, F. Taniguchi, Y. Oi, M. Konomi, S. Ogata, H. Yamada, M., Instructional Design and Evaluation of Science Education to Improve Collaborative Problem Solving Skills, Proceedings of the 29th international conference of the Society for Information Technology and Teacher Education, 2018.03.
24. Yiduo Gao Yuta Taniguchi Shin'ichi Konomi Kentaro Kojima Atsushi Shimada Hiroaki Ogata, Learning Style Based Collaborative Learning Construction: Can it Improve Group Work in a Learning Environment, IEICE technical report: 信学技報, 117, 421, pp.1-4., 2018.01.
25. Misato Oi Fumiya Okubo Yuta Taniguchi Masanori Yamada Shin'ichi Konomi, Effects of Prior Knowledge of High Achievers on Use of e-Book Highlights and Annotations, Proceedings of the 25th International Conference on Computers in Education (ICCE2017), pp.682-687, 2017.12.
26. Yuta Taniguchi Fumiya Okubo Atsushi Shimada Shin'ichi Konomi, Analysis on Students' Usage of Highlighters on e-Textbooks in Classroom, Proceedings of the 25th International Conference on Computers in Education (ICCE2017), pp.514-516, 2017.12, -.
27. Fumiya Okubo Takayoshi Takayoshi Atsushi Shimada Shin'ichi Konomi, Students' Performance Prediction Using Data of Multiple Courses by Recurrent Neural Network, Proceedings of the 25th International Conference on Computers in Education (ICCE2017), pp.439-444, 2017.12.
28. Atsushi Shimada Shin'ichi Konomi, Cross Analytics of Student and Course Activities from e-Book Operation Logs, Proceedings of the 25th International Conference on Computers in Education (ICCE2017), pp.433-438, 2017.12.
29. Fumiya Okubo Atsushi Shimada Yuta Taniguchi Shin'ichi Konomi, A Visualization System for Predicting Learning Activities Using State Transition Graphs, Proceedings of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), pp.173-180,, 2017.10.
30. Atsushi Shimada Shin’ichi Konomi, A Lecture Supporting System Based on Real-Time Learning Analytics, Proceedings of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), pp.197-204, 2017.10.
31. Yuta Taniguchi Fumiya Okubo Atsushi Shimada Shin'ichi Konomi, Exploring Students' Learning Journals with Web-Based Interactive report Tool, Proceedings of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017),, pp.251-254, 2017.10.
32. Masanori Yamada Misato Oi Shin'ichi Konomi, Are Learning logs related to Procrastination? From the Viewpoint of Self-Regulated Learning, Proceedings of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), pp.3-10, 2017.10.
33. Chu Luo Henri Koski Mikko Korhonen Jorge Goncalves Theodoros Anagnostopoulos Shinichi Konomi Simon Klakegg Vassilis Kostakos, Rapid clock synchronisation for ubiquitous sensing services involving multiple smartphones, 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, 2017.09, This paper investigates the precision of rapid clock synchronisation for ubiquitous sensing services which consist of multiple smartphones. Specifically, we consider scenarios where multiple smartphones are used to sense physical phenomena, and subsequently the sensor data from multiple distributed devices is aggregated. We observe that the accumulated clock drift for smartphones can be more than 150ms per day in the worst case. We show that solutions using the public Network Time Protocol (NTP) can be noisy with errors up to 1800ms in one request. We describe a rapid clock synchronisation technique that reduces drift to 10ms on average (measured by linear regression) and achieves pair-wise synchronisation between smartphones with an average of 27ms (measured by accelerometer), following a Gaussian-like distribution. Our results provide a lower bound for rapid clock synchronisation as a guide when developing ubiquitous sensing services using multiple smartphones..
34. Aku Visuri Zeyun Zhu Denzil Ferreira Shin'ichi Konomi Vassilis Kostakos, Smartphone detection of collapsed buildings during earthquakes, 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, 2017.09, The leading cause of death during earthquakes is the collapse of urban infrastructures and the subsequent delay of emergency responders in identifying and reaching the affected sites. To overcome this challenge, we designed and evaluated a crowdsensing system that detects collapsed buildings using end-user smartphones as distributed sensors. We present our evaluation of smartphones' accuracy in inferring a building collapse by detecting falls onto solid surfaces, and estimating the false positive rate. Further sensors can present more detailed information about each potential collapse event. We conduct simulations to identify strategies for dealing with false-positive data under scenarios of varying population density. Potential building collapses can be determined with 95% accuracy given 10 connected devices within a 125m radius, increasing to 99.99% for 50 devices. End-user devices can proactively offer valuable help to emergency responders during earthquakes, potentially saving lives..
35. Shin'ichi Konomi Atsushi Shimada Masanori Yamada Fumiya Okubo Yuta Taniguchi Jingyun Wang, Towards a Learner-Centric Notification Environment for Multimodal Learning Platforms, Workshop on Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA)、 held in conjunction with the 12th European Conference on Technology Enhanced Learning (EC-TEL 2017), 2017.09.
36. Shin'ichi Konomi Tomoyo Sasao Simo Hosio Kaoru Sezaki, Exploring the use of ambient WiFi signals to find vacant houses, Proceedings of the 13th European Conference on Ambient Intelligence, AmI 2017, 2017.04, In many countries, the population is either declining or rapidly concentrating in big cities, which causes problems in the form of vacant houses in many local communities. It is often challenging to keep track of the locations and the conditions of vacant houses, and for example in Japan, costly manual field studies are employed to map the occupancy situation. In this paper, we propose a technique to infer the locations of occupied houses based on ambient WiFi signals. Our technique collects RSSI (Received Signal Strength Indicator) data based on opportunistic smartphone sensing, constructs hybrid networks of WiFi access points, and analyzes their geospatial patterns based on statistical shape modeling. We show that the technique can successfully infer occupied houses in a suburban residential community, and argue that it can substantially reduce the cost of field surveys to find vacant houses as the number of potential houses to be inspected decreases..
37. Tomoyo Sasao Shin'ichi Konomi, Flyer mapping in art museums Acquiring implicit feedback using physical objects, Proceedings of the 5th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017, 2017.07, In this paper, we present our study that analyzes collections of flyers in different museums using statistical modeling techniques and show that sensing and analyzing interactions with physical flyers can uncover invisible differences among museums, thereby demonstrating the feasibility of our approach that focuses on visitors’ interactions with physical objects to characterize physical spaces. Moreover, our study suggests the potential of multi-tiered analyses according to the structures of social practices around physical objects..