Balancing enthusiasm and engagement: The impact of AI chat tools on student learning habits and perceptions in higher education

Abstract

This study investigates the shift in the use of AI-based chat tools in higher education  focusing on changes in student engagement, learning behavior, and perceptions during a heavily AI-integrated semester. The research is based on pre- and post-semester surveys conducted among students from diverse demographic backgrounds and academic disciplines to assess their experiences and attitudes toward AI tools. The findings show that students initially enthusiastically embraced AI tools but their deep engagement diminished over time, indicating the importance of continuous support and structure for sustained usage. Although demographic factors such as age and academic discipline influenced initial openness, extended use reduced these differences. AI tools were most beneficial for understanding concepts and completing assignments, particularly in technical subjects like programming. Collaboration among classmates remained unaffected with AI use complementing rather than replacing traditional learning methods. AI tools enhance learning experiences by addressing individual needs and improving productivity. However, targeted integration and ongoing support are crucial to sustain long-term engagement. The study offers valuable insights for teachers, technologists, and policymakers to optimize AI integration in education, making it accessible, inclusive, and supportive of diverse learners globally.