An Investigation of the Generation Cohort, Self-Efficacy, and Innovation of Faculty Teaching with ChatGPT in Texas Higher Education Institutions
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Abstract
Generative artificial intelligence (AI) such as ChatGPT is challenging the status quo of higher education institutions. In this study, the frameworks of diffusions of innovation, self-efficacy, and technological pedagogical content knowledge provide insights in the investigation of the use of ChatGPT in the classroom. The purpose of this study was to examine the generational cohort and faculty rank differences based on the types of generative AI used, learning approaches, and the integration of course assignments. Further, we examine the predictors of the use of ChatGPT in the classroom. Findings reveal generation differences in the use of ChatGPT. Further, both self-efficacy and innovation were significant predictors of the use of ChatGPT in the classroom.