Maqola

Methodological Foundations of Adaptive Artificial Intelligence

Diyora KarimovaTashkent University of Information Technologies (TUIT), Department of Foreign Languages

Zenodo (CERN European Organization for Nuclear Research)repository2026

ABI

Annotatsiya

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.

Mavzular

Cognitive Science and Education Research E-Learning and Knowledge Management Intelligent Tutoring Systems and Adaptive Learning

Identifikatorlar

DOI: 10.5281/zenodo.19790659

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