Exploring student intentions to use generative AI in lebanese higher education: an EVT and TPB perspective

Abstract

This research project aims to understand the impact of Artificial Intelligence (AI) in Higher Education (HE), considering various antecedent factors like student situational variables and student goals and orientation, to guide future practices and regulations on how to improve quality in education. It investigates whether these variables can foster students’ intention to perform while using the AI tools. The survey was conducted among students in Lebanon and it collected 321 responses from students using AI in their daily academic education. This study relies on SEM and SPSS. Overall, the findings identify the main opportunities and challenges of the use and implementation of AI in HE. This study identifies areas for improvement of AI use in HE by students and university educators and inform future research on AI integration in Lebanese HE. This study provides valuable insights into students’ AI usage, but its findings may not be universally applicable due to factors like cultural differences, institutional policies, and technological advancements. Future research should explore these variables on a broader scale. As AI technology continues to evolve, longitudinal studies are necessary to track changes in perspectives and behaviors regarding AI in HE.

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