Development and Application of Secondary Mathematics Gifted Class Program Using Artificial Intelligence Focused on Machine Learning

Objectives In this study, the goal is to develop a machine learning-centered artificial intelligence-based secondary mathematics gifted class program that enhances the mathematical creativity and computational thinking of secondary mathematics gifted. The program aims to instill a positive attitude towards artificial intelligence in students. Methods We investigate machine learning algorithms applied to artificial intelligence models, select appropriate mathematical topics, and develop a Project-Based Learning (PBL) instructional program where learners can actively participate in implementing artificial intelligence models. The program application was conducted with three students from the Gifted Education Institute at K University located in Chungbuk Province, South Korea, during the 2023 academic year. The participants included one 1st-year middle school student and two 3rd-year middle school students. Data collection involved recording activities, interview recordings, observation journals, activity outcomes, class reflections, and attitude surveys related to artificial intelligence. Results The secondary mathematics gifted class utilizing artificial intelligence was designed by applying the image classification model of Entry, an artificial intelligence model. The class program was structured around two themes: ‘Implementation of an artificial intelligence model classifying rectangles’ and ‘Implementation of an artificial intelligence model classifying tessellations.’ Through the application of the secondary mathematics gifted class program, elements of mathematical creativity and computational thinking were observed in secondary mathematics gifted. When comparing the period before and after the application of the program, it was evident that the implementation of the class program had a positive impact on changing the attitude of secondary mathematics gifted towards artificial intelligence. Conclusions The secondary mathematics gifted class program developed in this study, utilizing machine learning-centered artificial intelligence, proves to be a beneficial method for concurrently enhancing learners' mathematical creativity and computational thinking during the problem-solving process. Furthermore, the practical experience with artificial intelligence has contributed to increasing learners' understanding of artificial intelligence, resulting in a positive shift in their attitudes towards artificial intelligence.