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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,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9513244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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