Published April 27, 2026 | Version v1
Journal article Open

ADAPTIVE AI IN LANGUAGE LEARNING: PRINCIPLES AND ASSESSMENT CRITERIA

Authors/Creators

  • 1. Tashkent University of Information Technologies named after Muhammad al-Khwarazmi Foreign Language Department

Description

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.

Files

487-491.pdf

Files (513.6 kB)

Name Size Download all
md5:04a5b6c62c9858e3aeb9e82dfe8b7f80
513.6 kB Preview Download

Additional details

References

  • 1. Jalolov J. Chet til o'qitish metodikasi: darslik. Toshkent: O'qituvchi, 2012. 320 p.