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Adoption factors of ChatGPT among educators of tertiary education under the interpretive structural modelling framework

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  • Samuel C. Villa Jr.
  • Blesie M. Villa
  • Nelson F. Nolon
  • Celbert M. Himang

Abstract

Educational institutions strive to enhance their efficiency by integrating artificial intelligence (AI) technologies into their traditional teaching and learning process. One of the most prominent AI educational technology is ChatGPT which proved to be rapidly emerging in the educational landscape especially among educators. Despite the potential benefits it offers educators, several apprehensions remain controversial given the risks and issues surrounding its full adoption. Therefore, this paper aims to analyse the adoption factors of ChatGPT among educators using interpretive structural modelling (ISM) under the lens of a state university in the Philippines. The most interesting result revealed that technicality and self-efficacy must be prioritised should stakeholders move towards the adoption of ChatGPT. Removing the barriers with respect to the technology's complexity and users' ability to address technical problems increases the likelihood of adoption.

Suggested Citation

  • Samuel C. Villa Jr. & Blesie M. Villa & Nelson F. Nolon & Celbert M. Himang, 2026. "Adoption factors of ChatGPT among educators of tertiary education under the interpretive structural modelling framework," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 17(2), pages 216-241.
    • Handle: RePEc:ids:ijtlid:v:17:y:2026:i:2:p:216-241
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