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Article: An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI

TitleAn expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI
Authors
KeywordsChatGPT
Expectancy-value theory (EVT)
Generative AI
Technology acceptance model (TAM)
Theory of planned behavior (TPB)
Unified theory of acceptance and use of technology (UTAUT)
Validated instrument
Issue Date7-Dec-2023
PublisherSpringerOpen
Citation
Smart Learning Environments, 2023, v. 10, n. 1 How to Cite?
Abstract

This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT) instrument. The scales were first validated and the correlations between the different components were subsequently estimated. The results indicate a strong positive correlation between perceived value and intention to use generative AI, and a weak negative correlation between perceived cost and intention to use. As we continue to explore the implications of GenAI in education and other domains, it is crucial to carefully consider the potential long-term consequences and the ethical dilemmas that may arise from widespread adoption.


Persistent Identifierhttp://hdl.handle.net/10722/343945
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, Cecilia Ka Yuk-
dc.contributor.authorZhou, Wenxin -
dc.date.accessioned2024-06-18T03:43:01Z-
dc.date.available2024-06-18T03:43:01Z-
dc.date.issued2023-12-07-
dc.identifier.citationSmart Learning Environments, 2023, v. 10, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/343945-
dc.description.abstract<p> <span>This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT) instrument. The scales were first validated and the correlations between the different components were subsequently estimated. The results indicate a strong positive correlation between perceived value and intention to use generative AI, and a weak negative correlation between perceived cost and intention to use. As we continue to explore the implications of GenAI in education and other domains, it is crucial to carefully consider the potential long-term consequences and the ethical dilemmas that may arise from widespread adoption.</span> <br></p>-
dc.languageeng-
dc.publisherSpringerOpen-
dc.relation.ispartofSmart Learning Environments-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChatGPT-
dc.subjectExpectancy-value theory (EVT)-
dc.subjectGenerative AI-
dc.subjectTechnology acceptance model (TAM)-
dc.subjectTheory of planned behavior (TPB)-
dc.subjectUnified theory of acceptance and use of technology (UTAUT)-
dc.subjectValidated instrument-
dc.titleAn expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s40561-023-00284-4-
dc.identifier.scopuseid_2-s2.0-85178940776-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.eissn2196-7091-
dc.identifier.isiWOS:001116420600001-
dc.identifier.issnl2196-7091-

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