Article

ADAPTIVE AI IN LANGUAGE LEARNING: PRINCIPLES AND ASSESSMENT CRITERIA

Diyora KarimovaTashkent University of Information Technologies named after Muhammad al-Khwarazmi Foreign Language Department

Zenodo (CERN European Organization for Nuclear Research)repository2026

ABI

Abstract

This article examines principles for integrating adaptive artificial intelligence into language education and proposes assessment criteria aligned with competency-based outcomes. Using comparative analysis, pedagogical modeling, and expert review, it clarifies how personalization, transparency, and feedback loops affect learning. Scientific novelty lies in a unified criteria framework connecting adaptive AI decisions to valid, reliable language-skill measurement.

Topics

Educational and Psychological Assessments EFL/ESL Teaching and Learning Intelligent Tutoring Systems and Adaptive Learning

Identifiers

DOI: 10.5281/zenodo.19861292

Citations and references

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