Development and Evaluation of an AI-Enhanced Python Programming Education System

The integration of Artificial Intelligence (AI) in education has shown promising potential to enhance learning experiences and provide personalized assistance to students. However, existing AI-based educational tools often exhibit limitations, including inconsistent feedback, limited adaptability to diverse learning needs, and difficulties in delivering real-time and accurate assessments. These limitations restrict the full effectiveness of AI in supporting students’ educational journeys. In this paper, we present the development of an AI-based Python programming education system that integrates a Chatbot for student assistance, an automated grading system for feedback, and an entrance exam feature that suggests chapters and sections for review. The Chatbot and grading system employs GPT-3.5 Turbo, leveraging its extensive knowledge base, cost-effectiveness, time efficiency, and adaptability to various programming queries, which enhances student engagement. Although the system underwent interactive testing and continuous improvements, the development process encountered difficulties in maintaining consistent AI feedback and enhancing real-time performance. Users can take quizzes, receive grades, obtain personalized feedback, and get course recommendations. The grading system achieved 28/30 consistency with its output while the course recommendation system achieved $26 / 30$ consistency with its outputs. The results indicate that while the AI-based system aids in learning programming by providing instant feedback and recommendations for improvement, its effectiveness is limited. This project underscores the potential of AI to enhance educational tools and sets the stage for further advancements in AI-driven education systems.