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In recent years, STEM education, which encompasses science, technology, engineering, and mathematics, has experienced significant and dynamic progress. These advancements are characterised by the proliferation of scientific knowledge and the development of cutting-edge educational resources that rely on artificial intelligence technology, among other factors. A promising avenue for advancing formal education is presented by intelligent tutoring systems, which offer intelligent instruction and feedback, thereby facilitating a more personalized and practical learning experience. This study explored emerging trends and the feasibility of integrating intelligent tutoring systems in STEM education. A systematic literature review was carried out following PRISMA guidelines, with a total of 24 studies included, selected based on predefined inclusion criteria aligned with the research objective. The analysis reveals a growing interest in intelligent tutoring systems within STEM education between 2019 and 2024. Furthermore, the majority of research conducted thus far has focused on the K-12 education system and higher education institutions. This research initially examined the impact of Intelligent Tutoring Systems on enhancing student motivation and overall academic performance in STEM education courses. The findings substantiate the assertion that integrating artificial intelligence into intelligent tutoring systems positively impacts student motivation and achievement in STEM education. Additionally, students' prior knowledge of STEM subjects enhances their engagement and motivation when using intelligent tutoring systems. Integrating intelligent tutoring systems into STEM education has significantly improved student motivation and academic achievement.
Ilić et al. (Mon,) studied this question.