AI Tutor for Personalized Learning in Modern School
Abstract
The article addresses the challenge of personalized learning in the context of digital transformation of education and proposes a solution in the form of the intelligent tutoring system 'Aristotel' (Intelligent Tutoring System, ITS Aristotel). The system combines large language models and a logical reasoning module to provide adaptive support for students. The architecture is described, including a chatbot, a Prolog-based inference engine, and multimodal learning tools. It is shown how the system can be applied in schools to integrate STEM disciplines (mathematics, physics, computer science) and provide individualized learning trajectories. The advantages for students (motivation, engagement, performance) and teachers (reduced workload, learning analytics) are highlighted. The paper concludes that the system has the potential to become a scalable tool for personalized education, based on the principles of evidence-based pedagogy.
General Information
Keywords: personalized learning, artificial intelligence, intelligent tutoring systems, EdTech, STEM, digital transformation, evidence-based pedagogy
Publication rubric: Digital Transformation and Online Education: Technologies, Tools and Models
Article type: theses
For citation: Pestov V.V., Moskvin D.A. AI Tutor for Personalized Learning in Modern School [Elektronnyi resurs]. Digital Humanities and Technology in Education (DHTE 2025): Collection of Articles of the VI International Scientific and Practical Conference. November 13-14, 2025 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2025,., pp. 230–251.
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