Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/181729
Title: A cross-era discourse on ChatGPT’s influence in higher education through the lens of John Dewey and Benjamin Bloom
Authors: Mandai, Koki
Tan, Mark Jun Hao
Padhi, Suman
Pang, Kuin Tian
Keywords: Other
Issue Date: 2024
Source: Mandai, K., Tan, M. J. H., Padhi, S. & Pang, K. T. (2024). A cross-era discourse on ChatGPT’s influence in higher education through the lens of John Dewey and Benjamin Bloom. Education Sciences, 14(6), 614-. https://dx.doi.org/10.3390/educsci14060614
Journal: Education Sciences 
Abstract: Since its release in November 2022, ChatGPT and the related AI technology have disrupted multiple fields of society where people anticipate its pathways with a mixture of hope and fear. Among the affected fields, education, in particular, may incur one of the largest impacts in the future partly due to its nature of learning and teaching knowledge, an element that is more or less questioned by the rise of these technologies. As education can be seen as a component that determines the future of every other field of society, tools such as ChatGPT must be optimally regulated to enhance its gain or mitigate its loss. To contribute to this goal, this paper approaches the state of ChatGPT and its expected impacts on higher education through the lens of two major educational theories—John Dewey’s Reflective-Thought-and-Action model and revised Bloom’s taxonomy—aiming to propose possible evaluative criteria for the optimal usage of ChatGPT in academia. As ChatGPT is a relatively new topic of research yet a topic that requires an immediate focus due to its capabilities, this paper also aims to provide these criteria as one of the concrete starting points of future research in this field.
URI: https://hdl.handle.net/10356/181729
ISSN: 2227-7102
DOI: 10.3390/educsci14060614
Schools: School of Chemistry, Chemical Engineering and Biotechnology 
Organisations: Yale-NUS College 
Bioprocessing Technology Institute, A*STAR 
Bioinformatics Institute, A*STAR 
Department of Biomedical Engineering, NUS 
Rights: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CCEB Journal Articles

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