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February 25, 2026Open Access

The Role of AI in Language Proficiency Testing and Assessment

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Authors

KMK MunianjinappaPNProf. Jagadeesh Nerlekar

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Overview

Explores AI's impact on language assessment effectiveness, emphasizing fairness and ethics.

Key Points

  • The study aims to investigate the integration of AI in language proficiency testing and its implications on assessment validity and fairness.
  • Critical review of AI-driven language proficiency assessment systems
  • Examination of psychometric analysis and generalizability theory
  • Discussion of human–AI concordance measures
  • AI systems can provide automated scoring and real-time feedback
  • Challenges include bias detection and data privacy concerns
  • AI enhances efficiency and consistency in language assessment

Cite This Study

Munianjinappa et al. (2025) studied this question.

synapsesocial.com/papers/699e91c4f5123be5ed04f87dhttps://doi.org/10.5281/zenodo.18739348
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Also Consider

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  1. 1APPLICATION OF ARTIFICIAL INTELLIGENCE IN LANGUAGE SKILLS TESTING2024 · 9 citations
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  4. 4Human–AI Collaboration in Language Education: Transforming Teaching, Learning, and Assessment2026
  5. 5Measuring the Impact of AI-Assisted Language Learning on English Language Education: A Mixed-Methods Study2026