Data analytics-based tools and methods to enhance self-regulated learning

Project: Research

Status	Active
Effective start/end date	1/08/22 → 31/07/25

Analytics of planning behaviours in self-regulated learning: Links with strategy use and prior knowledge
Li, T., Fan, Y., Srivastava, N., Zeng, Z., Li, X., Khosravi, H., Tsai, Y-S., Swiecki, Z. & Gašević, D., 2024, LAK 2024 Conference Proceedings - The Fourteenth International Conference on Learning Analytics & Knowledge. Joksimovic, S. & Zamecnik, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 438-449 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Open Access
Analytics of scaffold compliance for self-regulated learning
Saint, J., Fan, Y. & Gasevic, D., 2024, LAK 2024 Conference Proceedings - The Fourteenth International Conference on Learning Analytics & Knowledge. Joksimovic, S. & Zamecnik, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 326-337 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
CTAM4SRL: A consolidated temporal analytic method for analysis of Self-Regulated Learning
Nath, D., Gasevic, D., Fan, Y. & Rajendran, R., 2024, LAK 2024 Conference Proceedings - The Fourteenth International Conference on Learning Analytics & Knowledge. Joksimovic, S. & Zamecnik, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 645-655 11 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Open Access

Project Details