Fabiyi, S. orcid.org/0000-0001-9571-2964 (2024) What can ChatGPT not do in education? Evaluating its effectiveness in assessing educational learning outcomes. Innovations in Education and Teaching International. ISSN 1470-3297
Abstract
This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and assessment processes. Through exemplar learning outcomes, the study showcases ChatGPT's ability to discern SMART criteria alignment. Furthermore, it demonstrates ChatGPT's competence in identifying the fundamental components, substantiated by cogent explanations. The analysis underscores the congruence between ChatGPT's evaluations and human assessors' judgments, underscoring its potential utility in educational quality assurance. Implications for educational practice emphasise ChatGPT's potential to assist educators in formulating effective learning objectives, meeting SMART criteria and encapsulating crucial components. While ChatGPT's capabilities are promising, human expertise remains vital for nuanced evaluation. In conclusion, this paper illuminates ChatGPT's role in shaping educational outcomes and encourages further exploration into AI's potential impact on educational processes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any med-ium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Keywords: | learning outcome; education; ChatGPT; language model; SMART criteria, curriculum design |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Mar 2024 14:25 |
Last Modified: | 27 Mar 2024 11:18 |
Published Version: | https://www.tandfonline.com/doi/full/10.1080/14703... |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/14703297.2024.2333395 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210532 |
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Licence: CC-BY-NC-ND 4.0