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An Experience Report on a Pedagogically Controlled, Curriculum-Constrained AI Tutor for SE Education
This paper presents RockStartIT Tutor, a GPT-4-powered AI tutoring system designed for secondary school students learning programming and computational thinking, using a curriculum-constrained knowledge base and pedagogically controlled prompting. The system was pilot-evaluated with 13 students and teachers using the Technology Acceptance Model to assess its effectiveness in providing scaffolded, personalized support.
The integration of artificial intelligence (AI) into education continues to evoke both promise and skepticism. While past waves of technological optimism often fell short, recent advances in large language models (LLMs) have revived the vision of scalable, individualized tutoring. This paper presents the design and pilot evaluation of RockStartIT Tutor, an AI-powered assistant developed for a digital programming and computational thinking course within the RockStartIT initiative. Powered by GPT-