Leveraging Video Interaction Data and Content Analysis to Improve Video Learning

Juho Kim, Krzysztof Z. Gajos, Shang-Wen Li, Robert C. Miller, Carrie J. Cal

Large-scale data generated from students’ interaction with video enable a deeper understanding of how students use video in their learning trajectory. This paper is to analyze peaks in viewership and student activity. Such analysis can reveal points of interest or confusion in the video, and suggest production and editing improvements.

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