The My Learning Analytics (MyLA) project supports research into student use of learning analytics. This means that researchers will access several types of data in doing this analysis.
Data
- Canvas course
- Student use of MyLA (clickstream data)
- Student demographic information
- Student survey data
Access to this data falls under U-M's data governance and has been reviewed and approved by data stewards. An IRB exemption (HUM00036927) has been granted.
Publications
- Kia, F. S., Teasley, S. D., Hatala, M., Karabenick, S., & Kay, M. (2020). “How patterns of students’ dashboard use are related to their achievement and self-regulatory engagement.” Proceedings of the 10th International Conference on Learning Analytics & Knowledge (pp. 340-349). Frankfurt, Germany: ACM.
- Love, J., DeMonner, S., & Teasley, S. (2021, July 20). “Show Students Their Data: Using Dashboards to Support Self-Regulated Learning.” Educause Review.
- Teasley, S. D., Kay, M., Hammond, J., & Elkins, S. (2021). “User-Centered Design for a Student-Facing Dashboard Grounded in Learning Theory.” In M. Sahin & D. Infenthaler (Eds.), Visualizations and Dashboards for Learning Analytics (pp. 191-212). Springer. https://rdcu.be/eBM2a
- Teasley, S.D., Popov, V., Bae, J.-S. and Elkins, S. (2023), "Self-Regulated Learning Theory and Epistemic Network Analysis: Understanding University Students' Use of a Learning Analytics Dashboard", Urdan, T. and Gonida, E.N. (Ed.) Remembering the Life, Work, and Influence of Stuart A. Karabenick (Advances in Motivation and Achievement, Vol. 22), Emerald Publishing Limited, Leeds, pp. 215-240. https://doi.org/10.1108/S0749-742320230000022015
For questions, contact:
- Stephanie Teasley, Research Professor Emerita, School of Information
- Jennifer Love, MyLA Project Manager, Information & Technology Services, Teaching & Learning