Choosing Between an LLM versus Search for Learning: A HigherEd Student Perspective

Fuente: arXiv

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Bibliographic Details
Main Authors:	Divekar, Rahul R., Guerra, Sophia, Gonzalez, Lisette, Boos, Natasha
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
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author	Divekar, Rahul R. Guerra, Sophia Gonzalez, Lisette Boos, Natasha
author_facet	Divekar, Rahul R. Guerra, Sophia Gonzalez, Lisette Boos, Natasha
contents	Large language models (LLMs) are rapidly changing learning processes, as they are readily available to students and quickly complete or augment several learning-related activities with non-trivial performance. Such major shifts in learning dynamic have previously occurred when search engines and Wikipedia were introduced, and they augmented or traditional information consumption sources such as libraries and books for university students. We investigate the possibility of the next shift: the use of LLMs to find and digest information in the context of learning and how they relate to existing technologies such as the search engine. We conducted a study where students were asked to learn new topics using a search engine and an LLM in a within-subjects counterbalanced design. We used that study as a contextual grounding for a post-experience follow-up interview where we elicited student reflections, preferences, pain points, and general outlook of an LLM (ChatGPT) over a search engine (Google).
format	Preprint
id	arxiv_https___arxiv_org_abs_2409_13051
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Choosing Between an LLM versus Search for Learning: A HigherEd Student Perspective Divekar, Rahul R. Guerra, Sophia Gonzalez, Lisette Boos, Natasha Human-Computer Interaction Large language models (LLMs) are rapidly changing learning processes, as they are readily available to students and quickly complete or augment several learning-related activities with non-trivial performance. Such major shifts in learning dynamic have previously occurred when search engines and Wikipedia were introduced, and they augmented or traditional information consumption sources such as libraries and books for university students. We investigate the possibility of the next shift: the use of LLMs to find and digest information in the context of learning and how they relate to existing technologies such as the search engine. We conducted a study where students were asked to learn new topics using a search engine and an LLM in a within-subjects counterbalanced design. We used that study as a contextual grounding for a post-experience follow-up interview where we elicited student reflections, preferences, pain points, and general outlook of an LLM (ChatGPT) over a search engine (Google).
title	Choosing Between an LLM versus Search for Learning: A HigherEd Student Perspective
topic	Human-Computer Interaction
url	https://arxiv.org/abs/2409.13051