Publications

Peer-Reviewed Conference Proceedings

  • Choi, H., Winne, P. H., Brooks, C., Li, W., & Shedden, K. Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. 13th International Learning Analytics and Knowledge Conference, 2023, 11-21.
  • Singh, A., Brooks, C., Lin, Y., & Li, W. What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. In Proceedings of the Eighth ACM Conference on Learning @ Scale. June, 2021.
  • Nguyen, Q., Poquet, O., Brooks, C., & Li, W. Exploring Homophily in Demographics and Academic Performance Using Spatial-Temporal Student Networks. International Educational Data Mining Society. 2020.
  • Li, W., Brooks, C., & Schaub, F. The Impact of Student Opt-Out on Educational Predictive Models. 9th International Conference on Learning Analytics and Knowledge (LAK19). March, 2019. Tempe, AZ.

Refereed Journal Articles

  • Motz, B., Bergner, Y., Brooks, C., Gladden, A., Gray, G., Lang, C., Li, W., Marmolejo-Ramos, F., & Quick, J. A LAK of Direction: Misalignment Between The Goals of Learning Analytics and its Research Scholarship. Journal of Learning Analytics. 2023.
  • Li, W., Sun, K., Schaub, F., & Brooks, C. Disparities in Students' Propensity to Consent to Learning Analytics. International Journal of Artificial Intelligence in Education, 2021, 1-45.
  • Gardner, J., Brooks, C., Li, W. Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. Journal of Learning Analytics (JLA) 5, no. 3 (2018): 42-59.