Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and...

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Detalles Bibliográficos
Autores principales: Chaudhry, Muhammad Ali, Kazim, Emre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261391/
https://www.ncbi.nlm.nih.gov/pubmed/34790953
http://dx.doi.org/10.1007/s43681-021-00074-z
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author Chaudhry, Muhammad Ali
Kazim, Emre
author_facet Chaudhry, Muhammad Ali
Kazim, Emre
author_sort Chaudhry, Muhammad Ali
collection PubMed
description In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.
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spelling pubmed-82613912021-07-07 Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021 Chaudhry, Muhammad Ali Kazim, Emre AI Ethics Original Research In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd. Springer International Publishing 2021-07-07 2022 /pmc/articles/PMC8261391/ /pubmed/34790953 http://dx.doi.org/10.1007/s43681-021-00074-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Chaudhry, Muhammad Ali
Kazim, Emre
Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title_full Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title_fullStr Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title_full_unstemmed Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title_short Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
title_sort artificial intelligence in education (aied): a high-level academic and industry note 2021
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261391/
https://www.ncbi.nlm.nih.gov/pubmed/34790953
http://dx.doi.org/10.1007/s43681-021-00074-z
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