The role of AI in shaping educational experiences in computer science: A systematic review

The integration of artificial intelligence (AI) in computer science education (CSE) has earned significant attention due to its potential to enhance learning experiences and outcomes. This systematic literature review provides one of the first domain-specific and methodologically robust syntheses of AI applications in undergraduate CSE. Through a comprehensive analysis of 40 peer-reviewed studies, we offer a fine-grained categorization of course contexts, AI methods, and data types. Our findings reveal a predominant use of supervised learning, ensemble methods, and deep learning, with notable gaps in generative and explainable AI. The review highlights the post-pandemic increase in AI-driven programming education and the growing recognition of AI’s role in addressing educational challenges. This study offers technical and pedagogical insights that inform future research and practice at the intersection of AI and computer science education.