Welcome to DCL4D
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma and Shin’ichi Konomi, Leveraging GPT for Concept Generation and Knowledge Graph Construction in Educational Recommender Systems, Teaching and Learning in the Generative Artificial Intelligence Age, December 2025.
Tianyuan Yang, Baofeng REN, Chenghao GU, Feike XU, Boxuan MA, Shin’ichi Konomi, Enhancing Course Recommendation with LLM-Generated Concepts: A Unified Framework for Side Information Integration. Big Data and Cognitive Computing
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma, and Shin’ichi Konomi, Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships, Machine Learning and Knowledge Extraction, 7(3): 103, 2025.
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma, Tianjia He, Shin’ichi Konomi, Towards Better Course Recommendations: Integrating Multi-Perspective Meta-Paths and Knowledge Graphs, Proc. of the 15th Learning Analytics and Knowledge Conference, ACM
Baofeng Ren, Tianyuan Yang, Boxuan Ma, Shin’ichi Konomi. Leveraging personalized diversity level for recommendations with knowledge graph. J Intell Inf Syst (2025)
Boxuan Ma, Sora Fukui, Yuji Ando, and Shin’ichi Konomi. 2025. Integrating Forgetting Behavior and Linguistic Features in Language Learning Models. ACM Trans. Knowl. Discov. Data Just Accepted (November 2025)
Peijin Yu and Shin’ichi Konomi, Leveraging the Dynamics of Leadership in Group Recommendation Systems, arXiv:2503.12877 [cs.IR], March 17, 2025.
Shin'ichi Konomi, Lulu Gao, Doreen Mushi, Baofeng Ren, DCLA: Towards Distributed Cooperative Learning Analytics for Developing Communities, Proc. 12th International Conference on Distributed, Ambient and Pervasive Interactions. pp. 94-106. 2024.
Shin’ichi Konomi, Lulu Gao, Doreen Mushi, and Baofeng Ren, Towards distributed cooperative analytics for health education in developing communities, Proc. Int. Conf. Healthcare, SDGs and Social Business, 126-127, August 28-30, Hiroshima & Online, 2024 (Poster paper)
Boxuan Ma, Sora Fukui, Yuji ANdo, Shin’ichi Konomi, Investigating Concept Definition and Skill Modeling for Cognitive Diagnosis in Language Learning, Journal of Educational Data Mining 16 (1), 303-329.
Boxuan Ma, Li Chen, Shin’ichi Konomi, Exploring Student Perception and Interaction Using ChatGPT in Programming Education, Proc. of the 21st Int’l Conf. Cognition and Exploratory Learning in Digital Age 2024, October 2024
Ma, B., Yang, T., Ren, B., A Survey on Explainable Course Recommendation Systems, Proc. 12th International Conference on Distributed, Ambient and Pervasive Interactions, Washington, DC, USA, June 29-July 4, 2024. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg.
Boxuan Ma, Li Chen, Shin'ichi Konomi, Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course, Artificial Intelligence in Education, 2024.
Jiadong Chen, Chenghao Gu, Jiayi Zhang, Zhankun Liu, and Shin‘ichi Konomi (2024) Sensing the Intentions to Speak in VR Group Discussions, Sensors 2024, 24(2), 362. https://doi.org/10.3390/s24020362
Jiadong Chen, Chenghao Gu, Jiayi Zhang, Zhankun Liu, Shin’ichi Konomi, The use of motion and gaze features to detect speaking intention in VR-mediated communication environments, Proc. 2024 2nd Int’l Conf. Data, Information and Computing Science, December 2024.
Jiadong Chen, Chenghao Gu, Jiayi Zhang, Zhankun Liu, Boxuan Ma, Shin’ichi Konomi, Coordination of Speaking Opportunities in Virtual Reality: Analyzing Interaction Dynamics and Context-Aware Strategies, Applied Sciences, 14(24):12071, 2024.
Chenghao Gu, Jiadong Chen, Jiayi Zhang, Tianyuan Yang, Zhankun Liu, Shin’ichi Konomi (2024). Detecting Leadership Opportunities in Group Discussions Using Off-the-shelf VR Headsets, Sensors 2024, 24(8), 2534. https://doi.org/10.3390/s24082534
Tianyuan Yang, Baofeng Ren, Boxuan Ma, Shin'ichi Konomi (2024). Making Course Recommender Systems Interpretable: A Feature-aware Deep Learning-based Approach. The 86th National Convention of IPSJ, Yokohama, March 16, 2024. 4M-04, pp.1-399-400.
Tianyuan Yang, Baofeng Ren, Boxuan Ma, Tianjia He, Chenghao Gu and Shin’ichi Konomi, Boosting Course Recommendation Explainability: A Knowledge Entity-Aware Model using Deep Learning, Proc. of the International Conference on Computers in Education (ICCE 2024), November 2024..
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma, Shin’ichi Konomi, Leveraging ChatGPT for automated knowledge concept generation, Proc. of the 21st Int’l Conf. Cognition and Exploratory Learning in Digital Age 2024, October 2024 (Best Paper Award)
Tianyuan Yang, Baofeng Ren, Boxuan Ma, Md Akib Zabed Khan, Tianjia He and Shin’ichi Konomi, Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning (Poster), EDM 2024.
Baofeng Ren, Shin’ichi Konomi (2024). A Group-based Approach to Enhance Diversity and User Engagement in Movie Recommender Systems. The 86th National Convention of IPSJ, Yokohama, March 16, 2024. 4M-05, pp.1-401-402.
Baofeng Ren, Shin’ichi Konomi, Development of a Recommendation Model That Considers Differences of Diversity Torelance (異なる多様性許容度に対応した推薦モデルの開発), Proc. of the 20th Web Intelligence and Interaction (ARG SIG-WI2) Workshop, Karatsu, December 2024 (in Japanese)
Tianjia He, Tianyuan Yang, Shin’ichi Konomi, Human Motion Enhancement and Restoration via Unconstrained Human Structure Learning. Sensors 24(10): 3123 (2024).
Tianjia He, Tianyuan Yang, Shin’ichi Konomi, Optimizing Motion Completion with Unconstrained Human Skeleton Structure Learning, Proc. IEEE Int’l COnf. Systems, Man and Cybernetics (SMC), October 2024.
Yinjie Xie, Shin’ichi Konomi (2024). Developing a Human-Centered AI Environment to Enhance Financial Literacy of College Students: A Systematic Review. Proceedings of the 16th International Conference on Cross-Cultural Design (CCD 2024), Held as Part of HCI International 2024, Washington, DC, USA, June 29-July 4, 2024. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, June 2024. (to appear; 16 pages)
Peijin Yu, Shin ’ichi Konomi (2024). EATOUT: Leveraging the Dynamics of Leadership in Group Recommendation Systems. The 86th National Convention of IPSJ, Yokohama, March 16, 2024. 4M03, pp.1-397-398.
Feike Xu, Shin'ichi Konomi (2024). Development of a Multimodal Mood Detection Mechanism for Bar Music Recommendation. The 86th National Convention of IPSJ, Yokohama, March 16, 2024. 4ZL-03, pp.4-859-860.
Zihan Zhang, Shin’ichi Konomi (2024). Improving the communication methods of GPT based on the language proficiency of learners. The 86th National Convention of IPSJ, Yokohama, March 16, 2024. 5ZM-07, pp.4-981-982.
Zhankun Liu, Jiadong Chen, Chenghao Gu, Jiayi Zhang, Shin’ichi Konomi (2024). Leveraging Acoustic and Motion Signals for Detecting Topic Transitions in VR Meetings. The 86th National Convention of IPSJ, Yokohama, March 17, 2024. 7ZB-01, pp.3-409-410.
Chenghao Gu, Jiadong Chen, Jiayi Zhang, Tianyuan Yang, Zhankun Liu, Shin’ichi Konomi (2024). Detecting and Analyzing Speaking Intention in Leader-led VR Group Discussions. The 86th National Convention of IPSJ, Yokohama, March 17, 2024. 7ZB-02, pp.3-411-412.
Jiayi Zhang, Zhankun Liu, Chenghao Gu, Jiadong Chen, Shin’ichi Konomi (2024). Audio-based leadership detection for small group discussion in VR. The 86th National Convention of IPSJ, Yokohama, March 17, 2024. 7ZB-03, pp.3-413-414.
Shin’ichi Konomi, Xiangyuan Hu, Yu Chen, Tianyuan Yang, Baofeng Ren, Chengzuo Yao (2023). Leveraging Living Trust Networks for Socially-aware Recommendations. Proceedings of the 15th International Conference on Cross-Cultural Design (CCD 2023), Held as Part of HCI International 2023, Copenhagen, July, 2023. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, July 2023.
Lulu Gao, Shin’ichi Konomi. Personalized Federated Human Activity Recognition through Semi-supervised Learning and Enhanced Representation. Proceedings of the 11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA), Cancun, Mexico, October 8, 2023.
Tianjia He, Shin’ichi Konomi, Tianyuan Yang. Spatio-Temporal Attention Based Graph Convolutional Networks for Human Action Reconstruction and Analysis. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Maui, Hawaii, October 1-4, 2023.
Yu Chen, Tianyuan Yang, Baofeng Ren, Chengzuo Yao, Feike Xu, Shin’ichi Konomi (2023). DREANRec: Deep Relation Enhanced Attention Networks for Social Recommendation. The 85th National Convention of IPSJ, Tokyo, March 3, 2023. 4N-05, pp.1-487-488.
Tianyuan Yang, Yu Chen, Baofeng Ren, Chengzuo Yao, Feike Xu, Shin’ichi Konomi (2023). Costefficiency Analysis in Deep Relation-Enhanced Graph Attention Networks for Social Recommender Systems. The 85th National Convention of IPSJ, Tokyo, March 3, 2023. 4N-06, pp.1-489-490.
Tianyuan Yang, Tianjia He, Chenghao Gu, Shin’ichi Konomi. TRASRec: A Triad-Aware Social Recommender System. Proceedings of the 2023 International Conference on Data, Information and Computing Science (CDICS 2023), Singapore, December 8-10, 2023.
Zihan Zhang, Shin’ichi Konomi (2023). GPTalkMate: Opportunities and Challenges of Large Language Models for Foreign Language Education. IPSJ Forum on Information Technology. Osaka, Japan, September 6-9, 2023.
Yu Chen, Tianyuan Yang, Baofeng Ren, Shin’ichi Konomi (2023). Temporal Information-Enhanced Graph Social Recommendation. Social Computing Symposium (SoC 2023). Tokyo, Japan, June 17, 2023.
Tianyuan Yang, Shin’ichi Konomi (2023). Integrating Triadic Relation for Social Recommender Systems. Social Computing Symposium (SoC 2023). Tokyo, Japan, June 17, 2023.
Baofeng Ren, Shin’ichi Konomi (2023). Enhancing User-Controllability in Social Recommender Systems. Social Computing Symposium (SoC 2023). Tokyo, Japan, June 17, 2023.
Peijin Yu, Shin’ichi Konomi (2023). Group Recommendation for Supporing Collaborative Learners. Social Computing Symposium (SoC 2023). Tokyo, Japan, June 17, 2023.
Hisanori Shimakawa, Shin’ichi Konomi (2023). Credit Scoring Using Crowdsourcing – Application to Microfinance –. The 85th National Convention of IPSJ, Tokyo, March 2, 2023. ZH-08, pp.4-577-578.
Shin’ichi Konomi, Xiangyuan Hu, Chenghao Gu, Doreen Mushi (2022) Designing a Distributed Cooperative Data Substrate for Learners without Internet Access. Proceedings of the 10th International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI 2022), Held as Part of HCI International 2022, Online, June 26 - July 1, 2022, pp.137-147. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, 2022.
Shin’ichi Konomi (2022). Big data for humans or humans for big data?: a human-data interaction perspective. in Barbara Rita Barricelli, Gerhard Fischer, Daniela Fogli, Anders Mørch, Antonio Piccinno, and Stefano Valtolina (Eds.) Proceedings of CoPDA2022- Sixth International Workshop on Cultures of Participation in the Digital Age: AI for Humans or Humans for AI?, June 7, 2022, Frascati (RM), Italy. pp. 14-20.
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2022) Exploring jump back behavior patterns and reasons in e-book system. Smart Learning Environments, 9, 2, Springer, Berlin/Heidelberg, January 4, 2022. https://doi.org/10.1186/s40561-021-00183-6.
Lulu Gao, Shin’ichi Konomi (2021) A Cost-effective and Quality-ensured Framework for Crowdsourced Indoor Localization. in Human-Automation Interaction, The Automation, Collaboration, and E-Services series (ACES), Springer, Berlin/Heidelberg.
Lulu Gao, Shin’ichi Konomi (2023). Indoor Spatiotemporal Contact Analytics Using Landmark-Aided Pedestrian Dead Reckoning on Smartphones. Sensors 2023, 23(1), 113, MDPI, Basel, December 22, 2022. https://doi.org/10.3390/s23010113.
Lulu Gao, Shin’ichi Konomi (2022). Indoor Contact Awareness on Spatiotemporal Analytics with Smartphone-Based Pedestrian Dead Reckoning. Proceedings of the ACM International Conference on Information Technology for Social Good (GoodIT 2022), Limassol, Cyprus, September 7- 9, 2022.
Lulu Gao, Shin’ichi Konomi (2022) Mapless Indoor Navigation based on Landmarks. Proceedings of the 10th International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI 2022), Held as Part of HCI International 2022, Online, June 26 - July 1, 2022, pp.53-68. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, 2022.
Jiadong Chen, Shin’ichi Konomi (2022) Utilization of XR Technology in Distance Collaborative Learning: A Systematic Review. Proceedings of the 14th International Conference on Cross-Cultural Design (CCD 2022), Held as Part of HCI International 2022, Online, June 26 - July 1, 2022. pp. 14-29, Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, July 2022.
Yiming Liu, Shin’ichi Konomi (2022) WiHead: WiFi-based Head-Pose Estimation. Proceedings of the 10th International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI 2022), Held as Part of HCI International 2022, Online, June 26 - July 1, 2022, pp.69-86. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, 2022.
Shiman Cui, Shin’ichi Konomi (2022) Generating fill-in-blank problems from historical data: enabling an intelligent learning-assistance for Python programming. IEICE SIGET Technical Report, Online, January 22, 2022.
Boxuan Ma, Min Lu, Yuta Taniguchi and Shin’ichi Konomi (2021). Exploration and Explanation: An Interactive Course Recommendation System for University Environments. Fourth Intelligent User Interfaces (IUI) Workshop on Exploratory Search and Interactive Data Analytics (ESIDA).
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2021) Investigating course choice motivations in university environments. Smart Learning Environments, 8, 31, Springer, Berlin/Heidelberg, November 27, 2021. https://doi.org/10.1186/s40561-021-00177-4.
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2021) CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments. Research and Practice in Technology Enhanced Learning, 16, Article number: 18, Springer, Berlin/Heidelberg, June 30, 2021. http://doi.org/10.1186/s41039-021-00167-7.
Boxuan Ma, Min Lu and Shin’ichi Konomi (2021) Understanding Student Slide Reading Patterns During the Pandemic. Proceedings of the 18th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2021), Online, October 13-15, 2021, International Association for Development of the Information Society, October 2021.
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2021) Exploring the Design Space for Explainable Course Recommendation Systems in University Environments. Companion Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20) - First International Workshop on Explainable Insights, Decisions, and Actions in Learning Analytics (XLA), Online (Frankfurt, Germany), March 23-27, 2020, pp. 492-499.
Xiangyuan Hu, Shin’ichi Konomi, Lulu Gao, Kaoru Sezaki (2021) Analysis of Human Flows to Inform the Design of a Crowd-Powered Information Delivery Environment in Developing Communities, CSIS Days 2021, Novmber, 2021
W. Sasaki, Y. Nishiyama, T. Okoshi, J. Nakazawa, “Investigating the occurrence of selfie-based emotional contagion over social network”, In: Social Network Analysis and Mining, 11 , pp. 8, 2021, ISSN: 1869-5450.
Kohei Hatano, “A Framework to analyze logs of CodeRunner for improving programming education”, ICEdutech2021, 269-270, 2021.
Jiadong Chen, Masaya Okada, Yuta Taniguchi, Shin’ichi Konomi (2021) Analysis of learning behavior and knowledge changes in inquiry-based learning under mixed learning environments (2021) IPSJ SIG HCI Technical Report. January 28, 2021.
Shin’ichi Konomi, Lulu Gao, Doreen Mushi (2020) An Intelligent Platform for Offline Learners Based on Model-Driven Crowdsensing Over Intermittent Networks. Proceedings of the 12th International Conference on Cross-Cultural Design (CCD 2020), Held as Part of HCI International 2020, Online (Copenhagen, Denmark), July 19-24, 2020. pp. 300-314, Lecture Notes in Computer Science 12193, Springer, Berlin/Heidelberg, July 2020. http://doi.org/10.1007/978-3-030-49913-6_26.
Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi (2020). Course Recommendation for University Environment. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020), International Educational Data Mining Society (IEDMS), Worcester. pp.460-466.
Lulu Gao, Shin’ichi Konomi (2020). Active Learning-based Crowd Replication, Proceedings of the 34th Annual Conference of Japanese Society for Artificial Intelligence, Online (Kumamoto), June 9 – June 12, 2020. 1G4-ES-5-01.
Likun Liu, Yuta Taniguchi, Min Lu, Shin’ichi Konomi (2020) Smart code recommendation system for supporting the learning process of programming beginners, IEICE SIG ET Technical Report, ET2020-45, December 12, 2020.
Y. Nishiyama, T. Yonezawa, K. Sezaki,“SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic”, In: the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys ’20), COVID-19 Pandemic Response, Virtual Event, Japan , pp. 780?781, Association for Computing Machinery, New York, NY, USA, 2020, ISBN: 978-1-4503-7590-0/20/11.
S. Higuma, Y. Nishiyama, K. Sezaki, “Towards Estimating UV Light Intensity Using GPS Signal Strength”, In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 684?687, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768.
Y. Nishiyama, D. Ferreira, Y. Eigen, W. Sasaki, T. Okoshi, J. Nakazawa, A. K Dey, K. Sezaki, “iOS Crowd-Sensing Won’t Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform,” Distributed, Ambient and Pervasive Interactions, pp. 223?243, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50344-4.
C. Song, M. Ito, Y. Nishiyama, K. Sezaki, “Using Mobile Sensing Technology for Capturing People Mobility Information”, In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, pp. 33?40, Association for Computing Machinery, Chicago, IL, USA, 2019, ISBN: 9781450369640.
Y. Nakamura, M. Ito, K. Sezaki, “Optimal Mobility Control of Sensors in the Event of a Disaster”, Journal of Disaster Research, 14, 3, 500-507 (2019).
H. Kobayashi, K. Nakagawa, K. Makiyama, Y. Sasaki, H. Kudo, B. Niraula, K. Sezaki, “Animal-to-Animal Data Sharing Mechanism for Wildlife Monitoring in Fukushima Exclusion Zone”, Multimodal Technologies and Interaction, 2, 3, No. 40 (2018).
K. Sezaki, S. Konomi, M. Ito, “User Participatory Sensing for Disaster Detection and Mitigation”, Journal of Disaster Research, 11, 207-216 (2016).
牧山紘, 永澤美保, 瀬崎薫, 小林博樹, “個体差を考慮した省電力動物間通信用デバイスの構築, ” 電子情報通信学会総合大会, 知的環境とセンサネットワーク, B-18-23, 2016 年 3 月 16 日.
W. Creixell and K. Sezaki. “Routing protocol for ad hoc mobile networks using mobility prediction.” International Journal of Ad Hoc and Ubiquitous Computing, 2, 3, 149-156 (2007).