AI Dependence and Educational Transformation: Challenges and Opportunities for University Students in Addis Ababa University

Abstract

Students could be motivated to join universities because of their personal desire or familial or community
expectations. Their level of motivation at university might be one of the triggering factors to rely on
artificial intelligence (AI) tools. Since its acceptance continues to grow these days, students are regularly
utilising AI. Although AI is believed to enhance education, students feel that if not properly utilized,
academic performance and job success may decline after graduation. This study examines how AI affects
Addis Ababa University students' academic performance, commitment, and job readiness. A descriptive
qualitative design was employed, selecting respondents based on inclusion criteria. The interview guide
aimed to capture narratives that were thematically analyzed. In this qualitative study, 6 instructors and 28
undergraduate students at Addis Ababa University College of Social Sciences, Arts, and Humanities took
part. The results indicated that students use AI mainly for assignments, to find answers to their questions,
and as a personal advisor in their regular activities. Relying heavily on AI combined with optimistic
expectations for future job prospects reduced students' commitment to their studies by causing them to
ignore course readings and reference materials, which will also have an impact on their educational
performance and knowledge acquisition. The study recommends that policymakers and educators should
develop culturally sensitive strategies to prepare students for leadership in an AI-driven economy.