【Books】

• Fan, Y. (2025). Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us. Routledge (in press)
• Fan, Y., Juelich, T., Mao, J. (2024). English Academic Writing in Practice (in Chinese). Tsinghua University Press

【Journals】

• Fan, Y.^*, Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., ... & Gašević, D. (2024). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology.
• Fan, Y. ^*, Rakovic, M., van Der Graaf, J., Lim, L., Singh, S., Moore, J., ... & Gašević, D. (2023). Towards a fuller picture: Triangulation and integration of the measurement of self‐regulated learning based on trace and think aloud data. Journal of Computer Assisted Learning, 39(4), 1303-1324.
• Fan, Y. ^*, Tan, Y., Raković, M., Wang, Y., Cai, Z., Shaffer, D. W., & Gašević, D. (2023). Dissecting learning tactics in MOOC using ordered network analysis. Journal of Computer Assisted Learning, 39(1), 154-166.
• Fan, Y. ^*, van der Graaf, J., Lim, L., Raković, M., Singh, S., Kilgour, J., ... & Gašević, D. (2022). Towards investigating the validity of measurement of self-regulated learning based on trace data. Metacognition and Learning, 17(3), 949-987.
• Fan, Y. ^*, Lim, L., Van der Graaf, J., Kilgour, J., Raković, M., Moore, J., ... & Gašević, D. (2022). Improving the measurement of self-regulated learning using multi-channel data. Metacognition and Learning, 17(3), 1025-1055.
• Fan, Y. ^*, Jovanović, J., Saint, J., Jiang, Y., Wang, Q., & Gašević, D. (2022). Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. Computers & Education, 178, 104404.
• Fan, Y., Matcha, W., Uzir, N. A. A., Wang, Q. ^*, & Gašević, D. (2021). Learning analytics to reveal links between learning design and self-regulated learning. International Journal of Artificial Intelligence in Education, 31(4), 980-1021.
• Fan, Y. ^*, Li, T., Tan, Y., Wang, Y., Singh, S., Li, X., ... & Gašević, D. (2023). Analytics of self-regulated learning scaffolding: effects on learning processes. Frontiers in psychology, 14, 1206696. (co-first author)
• Li, X., Fan, Y. ^*, Li, T., Rakovic, M., Singh, S., van der Graaf, J., ... & Gasevic, D. (2024). The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities. Journal of Learning Analytics.
• Shen, Y., Tang, L., Le, H., Tan, S., Zhao, Y., Shen, K.,... & Fan, Y. ^* (2025). Aligning and Comparing Values of ChatGPT and Human as Learning Facilitators: a Value-Sensitive Design Approach. British Journal of Educational Technology.
• Chen, A., Xiang, M., Zhou, J., Jia, J., Shang, J., Li, X., ... & Fan, Y. ^* (2025). Unpacking help-seeking process through multimodal learning analytics: A comparative study of ChatGPT vs Human expert. Computers & Education, 226, 105198.
• Tang, L., Shen, K., Le, H., Shen, Y., Tan, S., Zhao, Y., ... & Fan, Y. ^* (2024). Facilitating learners' self‐assessment during formative writing tasks using writing analytics toolkit. Journal of Computer Assisted Learning, 40(6).
• Zhang, X., Zhang, P., Shen, Y., Liu, M., Wang, Q., Gašević, D., & Fan, Y. ^* (2024). A Systematic Literature Review of Empirical Research on Applying Generative Artificial Intelligence in Education. Frontiers of Digital Education, 1(3), 223-245.
• Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Rakovic, M., Singh, S., ... & Gašević, D. (2024). How do students learn with real‐time personalized scaffolds?. British Journal of Educational Technology, 55(4), 1309-1327.
• Osakwe, I., Chen, G., Fan, Y., Rakovic, M., Singh, S., Lim, L., ... & Gašević, D. (2024). Towards prescriptive analytics of self‐regulated learning strategies: A reinforcement learning approach. British Journal of Educational Technology.
• van der Graaf, J., Raković, M., Fan, Y., Lim, L., Singh, S., Bannert, M., ... & Molenaar, I. (2023). How to design and evaluate personalized scaffolds for self-regulated learning. Metacognition and Learning, 18(3), 783-810.
• Saint, J., Fan, Y., Gašević, D., & Pardo, A. (2022). Temporally-focused analytics of self-regulated learning: A systematic review of literature. Computers and education: Artificial intelligence, 3, 100060.
• van der Graaf, J., Lim, L., Fan, Y., Kilgour, J., Moore, J., Gašević, D., ... & Molenaar, I. (2022). The dynamics between self-regulated learning and learning outcomes: An exploratory approach and implications. Metacognition and Learning, 17(3), 745-771.
• Raković, M., Iqbal, S., Li, T., Fan, Y., Singh, S., Surendrannair, S., ... & Gašević, D. (2023). Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi‐text writing task. Journal of Computer Assisted Learning, 39(3), 703-718.
• Chen, B., Fan, Y., Zhang, G., Liu, M., & Wang, Q. (2020). Teachers’ networked professional learning with MOOCs. PloS one, 15(7), e0235170.

【Conference Proceedings】

• Fan, Y. ^*, Srivastava, N., Rakovic, M., Singh, S., Jovanovic, J., Van Der Graaf, J., ... & Gasevic, D. (2022, March). Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study. In LAK22: 12th international learning analytics and knowledge conference (pp. 392-403). (joint first author)
• Fan, Y. ^*, Saint, J., Singh, S., Jovanovic, J., & Gašević, D. (2021, April). A learning analytic approach to unveiling self-regulatory processes in learning tactics. In LAK21: 11th international learning analytics and knowledge conference (pp. 184-195).
• Fan, Y. ^*, Lim, L., Van der Graaf, J., Kilgour, J., Engelmann, K., Bannert, M., ... & Gasevic, D. (2020, March). Measuring micro-level self-regulated learning processes with enhanced log data and eye tracking data. In Proc. Companion 10th Int. Conf. Learn. Anal. Knowl. (pp. 433-436).
• Saint, J., Fan, Y., & Gasevic, D. (2024, March). Analytics of scaffold compliance for self-regulated learning. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 326-337).
• Li, T., Fan, Y., Srivastava, N., Zeng, Z., Li, X., Khosravi, H., ... & Gašević, D. (2024, March). Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 438-449).
• Nath, D., Gasevic, D., Fan, Y., & Rajendran, R. (2024, March). CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 645-655).
• Osakwe, I., Chen, G., Fan, Y., Rakovic, M., Singh, S., Molenaar, I., & Gašević, D. (2024, March). Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 563-575).
• Rakovic, M., Fan, Y., Van Der Graaf, J., Singh, S., Kilgour, J., Lim, L., ... & Gasevic, D. (2022, March). Using learner trace data to understand metacognitive processes in writing from multiple sources. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 130-141).
• Saint, J., Fan, Y., Singh, S., Gasevic, D., & Pardo, A. (2021, April). Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms. In LAK21: 11th international learning analytics and knowledge conference (pp. 333-343).
• Chen, B., Fan, Y., Zhang, G., & Wang, Q. (2017, March). Examining motivations and self-regulated learning strategies of returning MOOCs learners. In Proceedings of the seventh international learning analytics & knowledge conference (pp. 542-543).