How students adopt generative artificial intelligence tools: A case study of higher education students

How students adopt generative artificial intelligence tools: A case study of higher education students

This study examined higher education students’perceptions of generative AI tools, particularly ChatGPT, and their intention to adopt them for academic use. Using a modified Technology Acceptance Model 2, it focused on perceived benefits, usability, and concerns related to ethics, dependency, and academic integrity, while also considering prior AI experience and technological proficiency as control variables. Data from a survey of 102 students across disciplines were analyzed to assess how factors such as Perceived Usefulness, Ease of Use, Social Influence, Cognitive Behavior, and Risk influenced adoption intentions. The findings offer insights for universities aiming to implement AI tools that support student needs while promoting ethical and responsible use.