January 1, 2025

A logical and content-based model for teaching higher mathematics using artificial intelligence

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This model integrates artificial intelligence in teaching mathematics, aiming to enhance learning effectiveness and personalization.

The adaptive model improves mastery of higher mathematics concepts, bridging gaps in student knowledge and motivation.
Key features include an AI trajectory planner and personalized task generator, enhancing student engagement with topics like linear algebra.
Structural analysis reveals interconnections between mathematics sections and AI technologies using ontological maps and knowledge graphs.
The approach provides predictive analytics of learning difficulties, supporting tailored educational experiences for students.

Zakirova et al. (2025) studied this question.

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