Publications

Liang's Google scholar / Scopus / researchmap / ORCID (review activities) 

International Journals as first author (Peer reviewed)

1. Liang, C., Chen Y., Jiang, P., & Ogata, H. (2025). Enabling data-driven peer help for extracurricular learning: system design and initial implementation in junior mathematics. Interactive Learning Environments, accepted. https://doi.org/10.1080/10494820.2025.2536576

2. Liang, C., Toyokawa, Y., & Ogata, H. (2025). Optimizing group formation with a mixed genetic algorithm: An empirical study in active reading using marker data. International Journal of Computer-Supported Collaborative Learning, accepted. https://doi.org/10.1007/s11412-025-09452-9

3. Liang, C., Jiang, P., Takii, K., & Ogata, H. (2025). Data-driven peer recommendation in higher education: A pilot study on academic reading. Australasian Journal of Educational Technology, 41(3), 84–101. https://doi.org/10.14742/ajet.10411

4. Liang, C., Horikoshi, I., Majumdar, R., & Ogata, H. (2025). Rater behaviors in peer evaluation: Patterns and early detection with learner model. Research and Practice in Technology Enhanced Learning, 20, 012. https://doi.org/10.58459/rptel.2025.20012

5. Liang, C., Majumdar, R., Horikoshi, I., & Ogata, H. (2024). Data-driven support infrastructure for iterative team-based learning. IEEE Access, 12, 65967-65980. https://doi.org/10.1109/ACCESS.2024.3393421  

6. Liang, C., Horikoshi, I., Majumdar, R., Flanagan, B., & Ogata, H. (2023). Towards predictable process and consequence attributes of data-driven group work: Primary analysis for assisting teachers with automatic group formation. Educational Technology & Society, 26(4), 90-103. https://doi.org/10.30191/ETS.202310_26(4).0006 

7. Liang, C., Toyokawa, Y., Majumdar, R., Horikoshi, I., & Ogata, H. (2024). Group formation based on reading annotation data: system innovation and classroom practice. Journal of Computers in Education, 11, 667-695. https://doi.org/10.1007/s40692-023-00274-y 

8. Liang, C., Majumdar, R., Nakamizo, Y., Flanagan, B., & Ogata, H. (2022). Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment: implementation study in a Japanese junior high school. Interactive Learning Environments, 32(4), 1476–1499. https://doi.org/10.1080/10494820.2022.2121730  

9. Liang, C., Majumdar, R., & Ogata, H. (2021). Learning log-based automatic group formation: system design and classroom implementation study. Research and Practice in Technology Enhanced Learning, 16(1), 14. https://doi.org/10.1186/s41039-021-00156-w 

International Conferences as first author (Peer-reviewed)

1. Liang, C., Takii, K., & Ogata, H. (2025). Pairwise learner model for collaborative learning and its application in genetic group formation. accepted In 1st International Conference on Learning Evidence and Analytics (ICLEA 2025). 

2. Liang, C., Takii, K., & Ogata, H. (2024). Proficiency modeling in junior high math: adapted cognitive statistical models to e-book learning contexts. In 32nd International Conference on Computers in Education (Vol. 1, pp. 226-235). 

3. Liang, C., Horikoshi, I., & Ogata, H. (2024). Enabling Mixed Genetic Algorithm for Automatic Group Formation System. In Collaboration Technologies and Social Computing: 30th International Conference, CollabTech 2024, Proceedings (pp. 220-228).

4. Liang C., Horikoshi I., Majumdar R., & Ogata H. (2023). Tackling Unserious Raters in Peer Evaluation: Behavior Analysis and Early Detection with Learner Model. In 31st International Conference on Computers in Education (Vol. 1, pp. 154-163). (Paper nominated for Best Student Paper Award) 

5. Liang, C., Majumdar, R., Horikoshi, I., Flanagan, B., & Ogata, H. (2022). Exploring predictive indicators of reading-based online group work for group formation assistance. In 30th International Conference on Computers in Education (Vol. 1, pp. 642-647).

6. Liang, C., Horihoshi, I., Majumdar, R., & Ogata, H. (2022). Learning Log-Based Group Work Support: GLOBE Framework and System Implementations. In 30th International Conference on Computers in Education (Vol. 2, pp. 733-736).

7. Liang, C., Gorham, T., Horikoshi, I., Majumdar, R., & Ogata, H. (2022, October). Estimating Peer Evaluation Potential by Utilizing Learner Model During Group Work. In Collaboration Technologies and Social Computing: 28th International Conference, CollabTech 2022, Santiago, Chile, November 8–11, 2022, Proceedings (pp. 287-294).

8. Liang, C., Majumdar, R., & Ogata, H. (2022, June). Continuous Data-Driven Group Learning Support: Case Study of an Asynchronous Online Course, In Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 547-548).

9. Liang, C., Toyokawa, Y., Nakanishi, T., Majumdar, R., & Ogata, H. (2021, August). Supporting peer evaluation in a data-driven group learning environment. In Collaboration Technologies and Social Computing: 27th International Conference, CollabTech 2021, Virtual Event, August 31–September 3, 2021, Proceedings (pp. 93-100).

10. Liang, C., Botički, I., & Ogata, H. (2019). Supporting teachers in group work formation and analytics for in-class group activities. In the 27th International Conference on Computers in Education, Taiwan: Asia-Pacific Society for Computers in Education (ICCE 2019) (pp. 744-749).

International Journals as co-author

1. Takii, K., Liang, C., & Ogata, H. (2025). Information as Interpretation: Measuring Learning Behavior for Knowledge Insight. IEEE Access, 13, 124197-124210. https://doi.org/10.1109/ACCESS.2025.3583311

2. Erstad, O., Černochová, M., Knezek, G., Furuta T., Takami, K., & Liang, C. (2024). Social and Emotional Modes of Learning Within Digital Ecosystems: Emerging Research Agendas. Technology, Knowledge and Learning, 29, 1751–1766. https://doi.org/10.1007/s10758-024-09775-w

3. Ogata, H., Liang, C., Toyokawa, Y., Hsu, C., Nakamura, K., Yamauchi, T., Flanagan, B., Dai, Y.,  Takami, K., Horikoshi, I., & Majumdar, R. (2024). Co-designing Data-driven Educational Technology and Practice Reflections from the Japanese Context. Technology, Knowledge and Learning, 29, 1711–1732. https://doi.org/10.1007/s10758-024-09759-w (corresponding author, accepted in SI EDUsummIT 2022-23) 

4. Ogata, H., Li H., Majumdar, R., Toyokawa, Y., Takii, K., & Liang, C. (2023). Towards Data and Evidence-driven Education in the Context of Language Teaching and Learning, JACET Selected Papers Vol. 9, pp.15-46. (invited paper)

International Conferences as co-author (peer-reviewed)

1. Yan, Y., Liang, C., & Ogata, H. (2025). Simulating Collaborative Learning with Data-Driven LLM Agents. In Collaboration Technologies and Social Computing: 31st International Conference, CollabTech 2025, accepted.

2. Okayama, Y., Atake, J., Takii, K., Liang C., & Ogata H. (2025). Visualizing Knowledge-Based Learning Logs to Support Multi-Perspective K-12 Math Instruction. In 33rd International Conference on Computers in Education. accepted.

3. Takii K., Liang, C., & Ogata, H. (2025). Understanding Learner Behavior Using Information Theory on Learning Analytics and Knowledge. In 1st International Conference on Learning Evidence and Analytics (ICLEA 2025). 

4. Chen, Y., Liang, C., Jiang, P., & Ogata, H. (2025). Building Trust and Social Networks Through Online Cross-Class Peer Tutoring. accepted In 1st International Conference on Learning Evidence and Analytics (ICLEA 2025). 

5. Chen, Y., Jiang, P., Liang, C., & Ogata, H. (2025). Enhancing Peer Interaction Quantity and Quality: Impact of Behavior, Engagement, and Knowledge. In 2025 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 81-85). https://doi.org/10.1109/ICALT64023.2025.00029

6. Majumdar, R., Liang, C., Ocheja, P., & Li, H. (2025). A Cooperative Learning Framework with Joint Attention and Interaction Data in the LA-ReflecT Platform. In Proceedings of the 2025 Symposium on Eye Tracking Research and Applications (Article No.: 31, Pages 1 - 3). https://doi.org/10.1145/3715669.3726825

7. Takii K., Liang, C., & Ogata, H. (2024). OKLM: Open Knowledge and Learner Model Using Educational Big Data. In 32nd International Conference on Computers in Education (Vol. 2, pp. 711-714). 

8. Okayama, Y., Liang, C., Takii, K., & Ogata, H. (2024). Identifying Key Indicators of Proficiency in Junior High Math: Roles of Daily Handwriting Learning Logs. In 32nd International Conference on Computers in Education (Vol. 2, pp. 749-754). 

9. Jiang, P., Liang, C., & Ogata, H. (2024). Data-driven Peer Recommendation and Its Applications in Extracurricular Learning. In 32nd International Conference on Computers in Education (Vol. 1, pp. 504-509). 

10. Takii K., Liang C., & Ogata H. (2024). Open Knowledge and Learner Model: Mathematical Representation and Applications as Learning Support Foundation in EFL. In 32nd International Conference on Computers in Education (Vol. 1, pp. 595-604). (Paper nominated for Best Student Paper Award)

11. Kano, T., Liang, C., Horikoshi I., & Ogata, H. (2024), Potentials of Customizable Data-driven Dashboard: Insights from University Teacher, In Companion Proceedings of the 14th International Learning Analytics and Knowledge Conference (pp. 194–196).

12. Jiang, P., Takii, K., Liang, C., Majumdar, R., & Ogata, H. (2023), Supporting Peer Help Recommendation Based on Learner-Knowledge Model, In 31st International Conference on Computers in Education (Vol. 2, pp. 198-203).  

13. Horikoshi I., Toyokawa Y., Nakamura K., Liang C., Majumdar R., & Ogata H. Teaching Analytics with xAPI: Learning Design Visualization with Crossplatform Learning Data.  accepted in ICCE 2023.  

14. Horikoshi I., Liang C., Majumdar R., & Ogata H. (2022). Peer Evaluation Behavior Analysis: Applicability and Reproducibility of the Method Across Systems and Activity Contexts. accepted in ICCE 2022 (Paper nominated for Best Overall Paper Award).

15. Nakamizo Y., Majumdar R., Horikoshi I., Liang C., Flanagan B., & Ogata H. (2022). GWpulse: Supporting Learner Modeling and Group Awareness in Online Forum with Sentiment Analysis. accepted in ICCE 2022.

16. Majumdar R., Liang C., Kuromiya H., Li. H., Flanagan B., & Ogata H. (2022) Learning and Evidence Analytics Framework (LEAF): Innovating Log Data-Driven Services for Teaching and Learning. accepted as an interactive demo in ISLS 2022.

17. Toyokawa Y., Majumdar R., Ogata H., Lecailliez L., & Liang C. (2021) Learning Analytics Enhanced Group Activity Design to Promote Active Reading in English. accepted in ICALT 2021.

18. Flanagan B., Liang C., Majumdar R., & Ogata H. (2021) Towards Explainable Group Formation by Knowledge Map based Genetic Algorithm. accepted in ICALT 2021.