CHALLENGES AND REPERCUSSIONS OF GEN AI TOOLS FOR UNIVERSITY STUDENTS

Abstract

The widespread use of Generative Artificial Intelligence (AI) tools in higher education has significantly transformed the academic experience for university students, offering both benefits and drawbacks. This study explored the challenges and repercussions of AI tools on university students. It was conducted on nine students from multiple disciplines in various universities in Lahore, using a convenience sampling technique. Interviews were carried out with the help of semi-structured, open-ended questions to collect qualitative data. The initial coding of the interviews was performed manually for thematic analysis. Later, NVivo software was used to identify key themes of this qualitative study. The study revealed five major outcomes: AI as a learning and support tool, AI-driven efficiency and productivity, challenges, cognitive impact, and usability/accessibility of AI tools. These findings provide insights into both the benefits and challenges of AI tools usage, as well as their cognitive effects on students in academic settings. The implications suggest the need for balanced educational policies to foster responsible Gen AI tools use while addressing cognitive and ethical concerns. The results offer valuable insights for policymakers and educators seeking to optimize AI's role in academic environments, ensuring equitable access and promoting academic integrity.