Examining the Influence of Content Quality, Self-Efficacy, And Accessibility on AI Technology Acceptance

Artificial intelligence (AI) is a field of scientific and technological innovation focused on producing technology capable of doing activities that used to require human intelligence. Students' adoption of AI, however, is dependent upon several variables that affect their acceptance and perception. Therefore, this study has proposed a conceptual model using an enhanced Technology Acceptance Model (TAM) to investigate the influence of content quality, self-efficacy, and accessibility on AI technology acceptance among university students. To validate this model, data from 450 students would be required using a structured questionnaire. The findings will assist in AI-integrated learning and adoption in educational institutions.