abstract
- This study presents the implementation of an AIpowered educational model in a one-week intensive MATLAB course for engineering students. Designed to promote personalized learning through daily challenges and a GPT-based virtual tutor, the model supported flexible progression and conceptual guidance. Seventeen students participated, with assessments including pre/post exams, a perception survey, and over 500 formative questions. Results showed improved performance, reduced score variability, and high student satisfaction. Learners valued the model's adaptability and reported gains in critical thinking and technical skills. These findings highlight the potential of generative AI to enhance engagement, equity, and scalability in STEM education.