Methodological Foundations of Adaptive Artificial Intelligence

This thesis examines methodological foundations for using adaptive artificial intelligence in education. The aim is to justify a conceptual model aligning adaptation mechanisms with core didactic principles. The methodology relies on a systems approach, pedagogical modeling, and learning analytics logic. Scientific novelty is presented through integrating evaluation criteria for adaptive decisions with requirements for instructional design and measurable learning outcomes.

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