Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience

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Abstract

We introduce a novel technique for automatically summarizing lecture videos using large language models such as GPT-3 and we present a user study investigating the effects on the studying experience when automatic summaries are added to lecture videos. We test students under different conditions and find that the students who are shown a summary next to a lecture video perform better on quizzes designed to test the course materials than the students who have access only to the video or the summary. Our findings suggest that adding automatic summaries to lecture videos enhances the learning experience. Qualitatively, students preferred summaries when studying under time constraints.

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APA

Gonzalez, H., Li, J., Jin, H., Ren, J., Zhang, H., Akinyele, A., … Callison-Burch, C. (2023). Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 382–393). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.bea-1.31

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