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An Experience Report on a Pedagogically Controlled, Curriculum-Constrained AI Tutor for SE Education
This paper describes the design and pilot evaluation of RockStartIT Tutor, a GPT-4-powered AI tutoring assistant for a secondary school programming course that uses structured prompts and a modular knowledge base to provide curriculum-constrained, pedagogically controlled support. The system was evaluated using the Technology Acceptance Model with 13 students and teachers, focusing on usability, learning support quality, and pedagogical appropriateness.
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-