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Evaluating ChatGPT adoption through the lens of the technology acceptance model: perspectives from higher education

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  • Parveen Kumar
  • Anu

Abstract

This research delves into the complex landscape of technology adoption, focusing on ChatGPT 3.5, an influential AI language model within the education sector. This study utilises an extended technology acceptance model (TAM) to investigate the adoption perspectives of 352 students from 12 higher education institutions regarding ChatGPT. The analysis utilises confirmatory factor analysis (CFA) and structural equation modelling (SEM) using the AMOS 26. The findings reveal that response quality significantly influences the perceived ease of use (PEOU) of ChatGPT, but it does not directly impact perceived usefulness (PU). PEOU plays a pivotal role in shaping both PU and the overall attitude towards using ChatGPT. These findings underscore the importance of enhancing response quality and user-friendliness to promote ChatGPT adoption while also encouraging critical thinking to mitigate overreliance on AI tools. The conducted research offers valuable insights to application developers, educators, government and policymakers in the evolving landscape of AI integration in education.

Suggested Citation

  • Parveen Kumar & Anu, 2024. "Evaluating ChatGPT adoption through the lens of the technology acceptance model: perspectives from higher education," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 15(4), pages 370-383.
    • Handle: RePEc:ids:ijtlid:v:15:y:2024:i:4:p:370-383
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