Data-driven interaction techniques for improving navigation of educational videos

Data-driven interaction techniques for improving navigation of educational videos

With an unprecedented scale of learners watching educational videos on online platforms such as MOOCs and YouTube, there is an opportunity to incorporate data generated from their interactions into the design of novel video interaction techniques. Interaction data has the potential to help not only...

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Bibliographic Details
Main Authors: Kim, Ju Ho (Author), Guo, Philip J (Author), Cai, Carrie Jun (Author), Li, Shang-Wen (Daniel) (Author), Gajos, Krzysztof Z. (Author), Miller, Robert C. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: ACM Press, 2019-07-08T15:07:54Z.
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