AI-Assisted Learning Tools in Improving Programming Skills Among University Students: A Case Study

This study investigates the impact of AI-assisted learning tools on programming skills among university students. It combines secondary analysis of an education dataset with a synthesis of recent computing-education research to examine changes in learning quality, learning time, stress, programming task performance, code comprehension, and debugging speed. The study also identifies the risk of over-reliance on AI tools and highlights the importance of structured pedagogical guidance for effective and responsible integration of AI in programming education.