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
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., Popov, V., Bae, J. S., & Elkins, S. (in press). “Self-Regulation Learning Theory and Epistemic Network Analysis: Understanding University Students Use of a Learning Analytics Dashboard.” In T. Urdan & E. Gonida (Eds.), Advances in Motivation and Achievement.
- 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.
For questions, contact:
- Stephanie Teasley, Research Professor, School of Information
- Jennifer Love, MyLA Project Manager, Information & Technology Services, Teaching & Learning