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Understanding in-video dropouts and interaction peaks inonline lecture videos

, , , , , and . Proceedings of the first ACM conference on Learning@ scale conference, page 31-40. ACM, (2014)

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DS.js: Turn Any Webpage into an Example-Centric Live Programming Environment for Learning Data Science., and . UIST, page 691-702. ACM, (2017)How adults ages 60+ are learning to code.. Commun. ACM, 60 (8): 10-11 (2017)Hack.edu: Examining How College Hackathons Are Perceived By Student Attendees and Non-Attendees., and . ICER, page 254-262. ACM, (2017)Older Adults Learning Computer Programming: Motivations, Frustrations, and Design Opportunities.. CHI, page 7070-7083. ACM, (2017)Sloppy Python: using dynamic analysis to automatically add error tolerance to ad-hoc data processing scripts.. WODA, page 35-40. ACM, (2011)The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry, , , and . 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), page 1--11. (August 2020)The difficulty of teaching programming languages, and the benefits of hands-on learning., and . Commun. ACM, 57 (7): 10-11 (2014)Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists., , , , and . CHI, page 1-12. ACM, (2020)Two studies of opportunistic programming: interleaving web foraging, learning, and writing code., , , , and . CHI, page 1589-1598. ACM, (2009)Students, systems, and interactions: synthesizing the first four years of learning@scale and charting the future., and . L@S, page 2:1-2:10. ACM, (2018)