What do Students’ Interactions with Online Lecture Videos Reveal about their Learning?

Author:

Zhou Guojing1,Umada Tetsumichi1,D'Mello Sidney1

Affiliation:

1. University of Colorado Boulder, USA

Publisher

ACM

Reference59 articles.

1. Predicting online video engagement using clickstreams

2. Limitations of Student Control: Do Students Know when They Need Help?

3. Giora Alexandron , Qian Zhou , and David Pritchard . 2015 . Discovering the Pedagogical Resources that Assist Students in Answering Questions Correctly – A Machine Learning Approach . In In: Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015). Giora Alexandron, Qian Zhou, and David Pritchard. 2015. Discovering the Pedagogical Resources that Assist Students in Answering Questions Correctly – A Machine Learning Approach. In In: Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015).

4. Roger Azevedo , Amy Johnson , Amber Chauncey , Arthur Graesser , B Zimmerman , and D Schunk . 2011. Use of hypermedia to assess and convey self-regulated learning. Handbook of self-regulation of learning and performance 32 ( 2011 ), 102–121. Roger Azevedo, Amy Johnson, Amber Chauncey, Arthur Graesser, B Zimmerman, and D Schunk. 2011. Use of hypermedia to assess and convey self-regulated learning. Handbook of self-regulation of learning and performance 32 (2011), 102–121.

5. Profiles in self-regulated learning in the online learning environment

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