The Impact of AI on Computer Science in Transforming Education in India

This study examines how artificial intelligence (AI) can improve student-centered computer science instruction, emphasizing problem-solving techniques, adaptive learning, ethical considerations, and personalized feedback. The study gathered primary data from two different groups using a mixed-method approach. First, students between the ages of 17 and 18, with a focus on those who are presently enrolled in computer science courses. Second, professional educators, using Likert-scale-based structured questionnaires. Experts in the field considered AI's influence on teaching workload, instructional quality, and curriculum relevance, while student responses illuminated their experiences with AI tools like IntelliJ IDEA, visualizations, mock tests, and code-completion platforms. An extensive literature review on NEP 2020, India's AI education initiatives, and international studies on AI in learning were all included in the secondary research. The results show that although teachers and students agree that AI can increase engagement, efficiency, and personalization, however, there are worries about over-reliance, ethical lapses, and inequitable infrastructure. To resolve these concerns, this paper incorporates recommendations for students, experts, and curriculum design agencies thus providing useful guidance for the careful incorporation of AI in the classroom, emphasizing the significance of a well-balanced implementation to get students ready for an AI powered future.