Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts

This research examines how the structure of prompts impacts the perceived depth and accuracy of responses generated by generative Large Language Models (LLMs) in educational settings. It specifically investigates how prompt design influences students’ learning experiences. The study involved an expe...

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Detalles Bibliográficos
Autor: Rodriguez-Donaire, Silvia
Tipo de recurso: capítulo de libro
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/151456
Acceso en línea:http://hdl.handle.net/10609/151456
http://doi.org/10.5772/intechopen.1006481
Access Level:acceso abierto
Palabra clave:generative AI
GenAI
engineering prompts
large language model
LLMs
formative assessment
online higher education
prompt structure
educational environment
students’ perception
learning process
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spelling Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational ContextsRodriguez-Donaire, Silviagenerative AIGenAIengineering promptslarge language modelLLMsformative assessmentonline higher educationprompt structureeducational environmentstudents’ perceptionlearning processThis research examines how the structure of prompts impacts the perceived depth and accuracy of responses generated by generative Large Language Models (LLMs) in educational settings. It specifically investigates how prompt design influences students’ learning experiences. The study involved an experiment with 183 students enrolled in a mandatory Business Administration course at the Universitat Oberta de Catalunya (UOC). Data from the experiment were analyzed using both qualitative and quantitative methods. The results show that well-structured prompts significantly improve students’ perception of the depth and accuracy of GenAI-generated responses, leading to a more effective learning process. This underscores the crucial role of prompt design in maximizing the educational effectiveness of GenAI. The findings suggest that thoughtful prompt design can enhance educational outcomes, although the study’s limited sample size and context-specific nature may restrict the generalizability of the results. This research contributes to the field by highlighting the importance of prompt structure in harnessing GenAI tools for educational improvement.IntechOpen202420242024info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10609/151456http://doi.org/10.5772/intechopen.1006481reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésMassive Open Online Courses - Learning Frontiers and Novel Innovations, 2024https://doi.org/10.34810/data1554http://doi.org/10.5772/intechopen.1006481CC BYhttp://creativecommons.org/licenses/by/4.0/es/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1514562026-05-28T12:42:01Z
dc.title.none.fl_str_mv Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
title Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
spellingShingle Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
Rodriguez-Donaire, Silvia
generative AI
GenAI
engineering prompts
large language model
LLMs
formative assessment
online higher education
prompt structure
educational environment
students’ perception
learning process
title_short Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
title_full Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
title_fullStr Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
title_full_unstemmed Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
title_sort Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
dc.creator.none.fl_str_mv Rodriguez-Donaire, Silvia
author Rodriguez-Donaire, Silvia
author_facet Rodriguez-Donaire, Silvia
author_role author
dc.subject.none.fl_str_mv generative AI
GenAI
engineering prompts
large language model
LLMs
formative assessment
online higher education
prompt structure
educational environment
students’ perception
learning process
topic generative AI
GenAI
engineering prompts
large language model
LLMs
formative assessment
online higher education
prompt structure
educational environment
students’ perception
learning process
description This research examines how the structure of prompts impacts the perceived depth and accuracy of responses generated by generative Large Language Models (LLMs) in educational settings. It specifically investigates how prompt design influences students’ learning experiences. The study involved an experiment with 183 students enrolled in a mandatory Business Administration course at the Universitat Oberta de Catalunya (UOC). Data from the experiment were analyzed using both qualitative and quantitative methods. The results show that well-structured prompts significantly improve students’ perception of the depth and accuracy of GenAI-generated responses, leading to a more effective learning process. This underscores the crucial role of prompt design in maximizing the educational effectiveness of GenAI. The findings suggest that thoughtful prompt design can enhance educational outcomes, although the study’s limited sample size and context-specific nature may restrict the generalizability of the results. This research contributes to the field by highlighting the importance of prompt structure in harnessing GenAI tools for educational improvement.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10609/151456
http://doi.org/10.5772/intechopen.1006481
url http://hdl.handle.net/10609/151456
http://doi.org/10.5772/intechopen.1006481
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Massive Open Online Courses - Learning Frontiers and Novel Innovations, 2024
https://doi.org/10.34810/data1554
http://doi.org/10.5772/intechopen.1006481
dc.rights.none.fl_str_mv CC BY
http://creativecommons.org/licenses/by/4.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC BY
http://creativecommons.org/licenses/by/4.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IntechOpen
publisher.none.fl_str_mv IntechOpen
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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