The impact of artifi cial intelligence on learning methods of students at Thang Long University: a sociological approach

Abstract

The rapid advancement of artifi cial intelligence (AI) has profoundly reshaped learning methods in higher education. From a sociological perspective, this study examines how AI infl uences students' learning behaviors, motivations, and their relationship with instructors at Thang Long University. The fi ndings indicate that AI enhances information access, self-learning capacities, and personalized learning pathways, while simultaneously presenting challenges such as overreliance on technology, reduced critical thinking, and disparities in technological access. Based on these insights, the article proposes educational orientations that promote responsible, human-centered, and equitable use of AI in university settings.