Closing the loop – The human role in artificial intelligence for education

Recent advancements in artificial intelligence make its use in education more likely. In fact, existing learning systems already utilize it for supporting students’ learning or teachers’ judgments. In this perspective article, we want to elaborate on the role of humans in making decisions in the des...

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Main Authors: Manuel Ninaus, Michael Sailer
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.956798/full
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author Manuel Ninaus
Manuel Ninaus
Michael Sailer
author_facet Manuel Ninaus
Manuel Ninaus
Michael Sailer
author_sort Manuel Ninaus
collection DOAJ
description Recent advancements in artificial intelligence make its use in education more likely. In fact, existing learning systems already utilize it for supporting students’ learning or teachers’ judgments. In this perspective article, we want to elaborate on the role of humans in making decisions in the design and implementation process of artificial intelligence in education. Therefore, we propose that an artificial intelligence-supported system in education can be considered a closed-loop system, which includes the steps of (i) data recording, (ii) pattern detection, and (iii) adaptivity. Besides the design process, we also consider the crucial role of the users in terms of decisions in educational contexts: While some implementations of artificial intelligence might make decisions on their own, we specifically highlight the high potential of striving for hybrid solutions in which different users, namely learners or teachers, are provided with information from artificial intelligence transparently for their own decisions. In light of the non-perfect accuracy of decisions of both artificial intelligence-based systems and users, we argue for balancing the process of human- and AI-driven decisions and mutual monitoring of these decisions. Accordingly, the decision-making process can be improved by taking both sides into account. Further, we emphasize the importance of contextualizing decisions. Potential erroneous decisions by either machines or humans can have very different consequences. In conclusion, humans have a crucial role at many stages in the process of designing and using artificial intelligence for education.
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spelling doaj.art-68c07df99ba04924bb7114468e1bb2ac2022-12-22T02:16:10ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-08-011310.3389/fpsyg.2022.956798956798Closing the loop – The human role in artificial intelligence for educationManuel Ninaus0Manuel Ninaus1Michael Sailer2Institute of Psychology, University of Graz, Graz, AustriaLEAD Graduate School and Research Network, University of Tübingen, Tübingen, GermanyDepartment of Psychology, Ludwig-Maximilians-Universität München, Munich, GermanyRecent advancements in artificial intelligence make its use in education more likely. In fact, existing learning systems already utilize it for supporting students’ learning or teachers’ judgments. In this perspective article, we want to elaborate on the role of humans in making decisions in the design and implementation process of artificial intelligence in education. Therefore, we propose that an artificial intelligence-supported system in education can be considered a closed-loop system, which includes the steps of (i) data recording, (ii) pattern detection, and (iii) adaptivity. Besides the design process, we also consider the crucial role of the users in terms of decisions in educational contexts: While some implementations of artificial intelligence might make decisions on their own, we specifically highlight the high potential of striving for hybrid solutions in which different users, namely learners or teachers, are provided with information from artificial intelligence transparently for their own decisions. In light of the non-perfect accuracy of decisions of both artificial intelligence-based systems and users, we argue for balancing the process of human- and AI-driven decisions and mutual monitoring of these decisions. Accordingly, the decision-making process can be improved by taking both sides into account. Further, we emphasize the importance of contextualizing decisions. Potential erroneous decisions by either machines or humans can have very different consequences. In conclusion, humans have a crucial role at many stages in the process of designing and using artificial intelligence for education.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.956798/fulltechnology enhanced learningartificial intelligence (AI)machine learning (ML)adaptivitydigital technologieseducation
spellingShingle Manuel Ninaus
Manuel Ninaus
Michael Sailer
Closing the loop – The human role in artificial intelligence for education
Frontiers in Psychology
technology enhanced learning
artificial intelligence (AI)
machine learning (ML)
adaptivity
digital technologies
education
title Closing the loop – The human role in artificial intelligence for education
title_full Closing the loop – The human role in artificial intelligence for education
title_fullStr Closing the loop – The human role in artificial intelligence for education
title_full_unstemmed Closing the loop – The human role in artificial intelligence for education
title_short Closing the loop – The human role in artificial intelligence for education
title_sort closing the loop the human role in artificial intelligence for education
topic technology enhanced learning
artificial intelligence (AI)
machine learning (ML)
adaptivity
digital technologies
education
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.956798/full
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