Examining the Influence of Content Quality, Self-Efficacy, And Accessibility on AI Technology Acceptance
Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Syeda Adina Gardezi, Aisha Bibi
Institution: National University of Modern Languages
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6931297627
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