Exploring Student Interactions with AI in Programming Training

In recent years, the integration of artificial intelligence (AI) in education has collected significant attention due to its potential to revolutionize learning experiences and support student skill development. This study delves into the dynamics of student interactions with AI support within the domain of C programming education, with a specific focus on the utilization of ChatGPT, a conversational AI model, during training sessions. Through manual clustering analysis, this research unveils distinct patterns of student engagement, elucidating diverse problem-solving approaches and varying levels of interaction with ChatGPT. Our findings underscore the importance of acknowledging individual differences in learning strategies and preferences, highlighting the necessity for personalized educational interventions tailored to meet the diverse needs of learners. However, despite the strides made in AI-supported learning, gaps persist in the existing literature, particularly concerning our understanding of how students approach prompts and exercises when utilizing AI-driven educational tools. This research aims to address this gap by shedding light on the nuanced dynamics of student-AI interactions during training of C programming, offering insights into effective pedagogical strategies and instructional design principles for integrating AI technologies into educational settings. This study makes a significant contribution to the continuous endeavors of educators and AI developers by furthering the discussion on AI-facilitated learning. It aims to enhance student engagement, learning outcomes, and overall educational experiences through the integration of technology into learning environments.