UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Chaudhry, MA; Kazim, E; (2021) Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021. AI Ethics 10.1007/s43681-021-00074-z. Green open access

[thumbnail of Chaudhry_Artificial Intelligence in Education (AIEd)- a high-level academic and industry note 2021_AOP.pdf]
Preview
Text
Chaudhry_Artificial Intelligence in Education (AIEd)- a high-level academic and industry note 2021_AOP.pdf - Published Version

Download (648kB) | Preview

Abstract

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.

Type: Article
Title: Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s43681-021-00074-z
Publisher version: https://doi.org/10.1007/s43681-021-00074-z
Language: English
Additional information: This 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/.
Keywords: Artificial Intelligence, Artificial Intelligence in Education (AIEd), Education, Ethical AI, Fairness, Intelligent Tutoring Systems (ITS), Learning science, Machine learning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10139468
Downloads since deposit
64Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item