The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models

Fuente: arXiv
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Auteurs principaux: Ruf, Boris, Detyniecki, Marcin
Format: Preprint
Publié: 2024
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author Ruf, Boris
Detyniecki, Marcin
author_facet Ruf, Boris
Detyniecki, Marcin
contents We propose a simple way to use large language models (LLMs) in education. Specifically, our method aims to improve individual comprehension by adding a novel feature to online videos. We combine the low threshold for interactivity in digital experiences with the benefits of rephrased and elaborated explanations typical of face-to-face interactions, thereby supporting to close knowledge gaps at scale. To demonstrate the technical feasibility of our approach, we conducted a proof-of-concept experiment and implemented a prototype which is available for testing online. Through the use case, we also show how caching can be applied in LLM-powered applications to reduce their carbon footprint.
format Preprint
id arxiv_https___arxiv_org_abs_2412_14201
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models
Ruf, Boris
Detyniecki, Marcin
Human-Computer Interaction
Computers and Society
We propose a simple way to use large language models (LLMs) in education. Specifically, our method aims to improve individual comprehension by adding a novel feature to online videos. We combine the low threshold for interactivity in digital experiences with the benefits of rephrased and elaborated explanations typical of face-to-face interactions, thereby supporting to close knowledge gaps at scale. To demonstrate the technical feasibility of our approach, we conducted a proof-of-concept experiment and implemented a prototype which is available for testing online. Through the use case, we also show how caching can be applied in LLM-powered applications to reduce their carbon footprint.
title The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models
topic Human-Computer Interaction
Computers and Society
url https://arxiv.org/abs/2412.14201