This article explores the integration of the cluster approach and artificial intelligence (AI) technologies in the process of teaching fundamental sciences in higher education. In the context of rapid digital transformation, modern education requires new pedagogical approaches that support the development of students’ digital competence alongside their professional knowledge. The study aims to substantiate the effectiveness of AI tools in enhancing digital competence within a cluster-based educational environment. The cluster approach ensures the integration of higher education institutions, research centers, and industry partners, enabling the practical application of theoretical knowledge. Artificial intelligence technologies contribute to modeling complex scientific processes, analyzing large datasets, and supporting adaptive learning. The research applies theoretical analysis, cluster modeling, and pedagogical experimentation to evaluate the proposed approach. The results indicate that the integration of AI technologies into the teaching of fundamental sciences significantly improves students’ analytical thinking, digital literacy, and problem-solving skills. The findings also highlight the importance of creating a digital educational environment that supports innovation and practical learning in higher education.

Cluster approach, digital competence, artificial intelligence

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