@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",
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.",
}
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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.</abstract>
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%0 Conference Proceedings
%T Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience
%A Gonzalez, Hannah
%A Li, Jiening
%A Jin, Helen
%A Ren, Jiaxuan
%A Zhang, Hongyu
%A Akinyele, Ayotomiwa
%A Wang, Adrian
%A Miltsakaki, Eleni
%A Baker, Ryan
%A Callison-Burch, Chris
%S Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F gonzalez-etal-2023-automatically
%X 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.
%R 10.18653/v1/2023.bea-1.31
%U https://aclanthology.org/2023.bea-1.31
%U https://doi.org/10.18653/v1/2023.bea-1.31
%P 382-393
Markdown (Informal)
[Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience](https://aclanthology.org/2023.bea-1.31) (Gonzalez et al., BEA 2023)
ACL
- Hannah Gonzalez, Jiening Li, Helen Jin, Jiaxuan Ren, Hongyu Zhang, Ayotomiwa Akinyele, Adrian Wang, Eleni Miltsakaki, Ryan Baker, and Chris Callison-Burch. 2023. Automatically Generated Summaries of Video Lectures May Enhance Students’ Learning Experience. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 382–393, Toronto, Canada. Association for Computational Linguistics.