@inproceedings{gonzalez-etal-2023-automatically,
    title = "Automatically Generated Summaries of Video Lectures May Enhance Students{'} Learning Experience",
    author = "Gonzalez, Hannah  and
      Li, Jiening  and
      Jin, Helen  and
      Ren, Jiaxuan  and
      Zhang, Hongyu  and
      Akinyele, Ayotomiwa  and
      Wang, Adrian  and
      Miltsakaki, Eleni  and
      Baker, Ryan  and
      Callison-Burch, Chris",
    editor = {Kochmar, Ekaterina  and
      Burstein, Jill  and
      Horbach, Andrea  and
      Laarmann-Quante, Ronja  and
      Madnani, Nitin  and
      Tack, Ana{\"\i}s  and
      Yaneva, Victoria  and
      Yuan, Zheng  and
      Zesch, Torsten},
    booktitle = "Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.bea-1.31",
    doi = "10.18653/v1/2023.bea-1.31",
    pages = "382--393",
    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.",
}

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.
Gonzalez, Hannah Li, Jiening Jin, Helen Ren, Jiaxuan Zhang, Hongyu Akinyele, Ayotomiwa Wang, Adrian Miltsakaki, Eleni Baker, Ryan Callison-Burch, Chris
Automatically Generated Summaries of Video Lectures May Enhance Students' Learning Experience