An Expectancy Value Theory (EVT) Based Instrument for Measuring Student Perceptions of Generative AI

Autor/inn/en	Chan, Cecilia Ka Yuk; Zhou, Wenxin
Titel	An Expectancy Value Theory (EVT) Based Instrument for Measuring Student Perceptions of Generative AI
Quelle	In: Smart Learning Environments, 10 (2023), Artikel 64 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Chan, Cecilia Ka Yuk) ORCID (Zhou, Wenxin)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s40561-023-00284-4
Schlagwörter	Student Attitudes; College Students; Artificial Intelligence; Technology Uses in Education; Intention; Value Judgment; Expectation; Measures (Individuals) + Suchen Sie Ihr Suchwort? Schülerverhalten; Collegestudent; Künstliche Intelligenz; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Werturteil; Expectancy; Erwartung; Messdaten
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01