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Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation., , , , and . LAK, page 11-21. ACM, (2023)Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses., , and . J. Learn. Anal., (November 2018)Exploring homophily in demographics and academic performance using spatial-temporal student networks., , , and . EDM, International Educational Data Mining Society, (2020)What\textquotesingles In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC, , , and . Proceedings of the Eighth ACM Conference on Learning @ Scale, page 221-233. ACM, (June 2021)Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation., , , , , and . LAK, page 742-748. ACM, (2024)The Impact of Student Opt-Out on Educational Predictive Models., , and . LAK, page 411-420. ACM, (2019)What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC., , , and . L@S, page 221-233. ACM, (2021)Disparities in Students' Propensity to Consent to Learning Analytics., , , and . Int. J. Artif. Intell. Educ., 32 (3): 564-608 (2022)Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation., , , , , and . CoRR, (2023)Building Efficient Incremental LL Parsers by Augmenting LL Tables and Threading Parse Trees.. Comput. Lang., 22 (4): 225-235 (1996)