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The potential of learning with (and not from) artificial intelligence in education

AI-powered technologies are increasingly being developed for educational purposes to contribute to students' academic performance and overall better learning outcomes. This exploratory review uses the PRISMA approach to describe how the effectiveness of AI-driven technologies is being measured,...

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Detalles Bibliográficos
Autores principales: Chichekian, Tanya, Benteux, Bérenger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513244/
https://www.ncbi.nlm.nih.gov/pubmed/36177366
http://dx.doi.org/10.3389/frai.2022.903051
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author Chichekian, Tanya
Benteux, Bérenger
author_facet Chichekian, Tanya
Benteux, Bérenger
author_sort Chichekian, Tanya
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description AI-powered technologies are increasingly being developed for educational purposes to contribute to students' academic performance and overall better learning outcomes. This exploratory review uses the PRISMA approach to describe how the effectiveness of AI-driven technologies is being measured, as well as the roles attributed to teachers, and the theoretical and practical contributions derived from the interventions. Findings from 48 articles highlighted that learning outcomes were more aligned with the optimization of AI systems, mostly nested in a computer science perspective, and did not consider teachers in an active role in the research. Most studies proved to be atheoretical and practical contributions were limited to enhancing the design of the AI system. We discuss the importance of developing complementary research designs for AI-powered tools to be integrated optimally into education.
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spelling pubmed-95132442022-09-28 The potential of learning with (and not from) artificial intelligence in education Chichekian, Tanya Benteux, Bérenger Front Artif Intell Artificial Intelligence AI-powered technologies are increasingly being developed for educational purposes to contribute to students' academic performance and overall better learning outcomes. This exploratory review uses the PRISMA approach to describe how the effectiveness of AI-driven technologies is being measured, as well as the roles attributed to teachers, and the theoretical and practical contributions derived from the interventions. Findings from 48 articles highlighted that learning outcomes were more aligned with the optimization of AI systems, mostly nested in a computer science perspective, and did not consider teachers in an active role in the research. Most studies proved to be atheoretical and practical contributions were limited to enhancing the design of the AI system. We discuss the importance of developing complementary research designs for AI-powered tools to be integrated optimally into education. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9513244/ /pubmed/36177366 http://dx.doi.org/10.3389/frai.2022.903051 Text en Copyright © 2022 Chichekian and Benteux. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Chichekian, Tanya
Benteux, Bérenger
The potential of learning with (and not from) artificial intelligence in education
title The potential of learning with (and not from) artificial intelligence in education
title_full The potential of learning with (and not from) artificial intelligence in education
title_fullStr The potential of learning with (and not from) artificial intelligence in education
title_full_unstemmed The potential of learning with (and not from) artificial intelligence in education
title_short The potential of learning with (and not from) artificial intelligence in education
title_sort potential of learning with (and not from) artificial intelligence in education
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513244/
https://www.ncbi.nlm.nih.gov/pubmed/36177366
http://dx.doi.org/10.3389/frai.2022.903051
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