인공지능 기반 맞춤형 학습이 농촌지역 학생들의 수학학습에 미치는 효과

Abstract

This study was conducted to propose customized learning methods based on artificial intelligence as an option to bridge the learning gap caused by COVID-19 and strengthen the learners' self-learning methods, as well as verify their effectiveness. In particular, the study was conducted with the aim of ensuring high-quality public education with AI technology in rural areas, where educational infrastructure is insufficient. The AI-based customized learning assistance consisted of an AI diagnostic assessment to examine the level of understanding of the prerequisite concepts before starting a study unit, AI-based problem recommendations on learning by the level, and AI assessment and supplementary learning aid at the end of the unit. Before and after conducting of the study, the math academic achievement, math learning attitude, and math self-directed learning ability were tested to examine the effectiveness of the program.The results of the data analysis showed that AI-customized math learning had a positive effect on improving the math academic achievement, learning attitude, and self-directed learning ability. However, it is still limited as to fragmented learning based on problem solving, and it is necessary to explore the AI education practices which would support continuous and integrated growth of math learners.