Impact of Generative AI on Undergraduate Students: A Case Study of Kyungdong University Global

Abstract

This study identifies how generative AI tools influence undergraduate students’ learning behavior and problem-solving skills in the Smart Computing department at Kyungdong University Global, South Korea. To identify the frequency, purposes, and impact, a quantitative cross-sectional survey of 160 students was conducted. The findings illustrate that such tools enhance the quality of assignments, efficiency, and understanding of the programming concepts. Nonetheless, overreliance on AI tools may shrink problem-solving skills and critical thinking, with occasional errors in AI outputs. The research highlights the importance of ethical and responsible integration of GenAI tools in education, while safeguarding self-learning capacity.

Keywords: Generative AI; Undergraduate Students; Learning Behavior; AI Tools