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Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives.

, , , and . CHI, page 1-13. ACM, (2020)

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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)How Data Scientists Use Computational Notebooks for Real-Time Collaboration., , , and . Proc. ACM Hum. Comput. Interact., 3 (CSCW): 39:1-39:30 (2019)Evaluating Predictive Models of Student Success: Closing the Methodological Gap., and . CoRR, (2018)What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing., , , , , and . CHI, page 513-522. ACM, (2011)Model AI Assignments 2022., , , , , , , , , and 3 other author(s). AAAI, page 12863-12864. AAAI Press, (2022)Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives., , , and . CHI, page 1-13. ACM, (2020)How Gender Cues in Educational Video Impact Participation and Retention., , and . ICLS, International Society of the Learning Sciences, (2018)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)Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective., , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Model AI Assignments., , , , , , , , , and 2 other author(s). EAAI, page 1919-1921. AAAI Press, (2010)