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April 12, 2026The International Journal of Humanities EducationOpen Access

A Review of AI-Powered Personalized Language Learning

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Authors

VBValentyna BorshchovetskaVPV. A. PonomarovaLSLudmyla H. Smovzhenko

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Overview

Systematic review examines AI techniques to improve vocabulary acquisition for L2 learners, indicating effectiveness variances.

Key Points

  • This review investigates how artificial intelligence can personalize vocabulary learning for second language learners.
  • Conducted a systematic review following PRISMA guidelines
  • Analyzed thirty-one peer-reviewed studies from 2020 to 2025
  • Used a standardized coding template to classify AI personalization techniques and learner data
  • Identified nine categories of AI personalization techniques, with adaptive learning systems being the most common (32.3%)
  • Performance metrics were the most frequently used learner data (54.8%)
  • AI personalization significantly boosts short-term vocabulary retention and motivation, though effectiveness varies by learner proficiency and task type

Cite This Study

Borshchovetska et al. (2026) studied this question.

synapsesocial.com/papers/69db37df4fe01fead37c5f91https://doi.org/10.18848/2327-0063/cgp/a185
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence in Language Learning: A Systematic Review of Personalization and Learner Engagement2025 · 9 citations
  2. 2Artificial intelligence-driven personalized language learning: Customizing content and feedback to learners’ needs and proficiency levels2025
  3. 3AI-Powered Personalized Learning2026
  4. 4Personalized Language Education in the Age of AI: Opportunities and Challenges2024 · 8 citations
  5. 5Artificial Intelligence and Personalized Learning in ESL: A Systematic Review of Adaptive Material Design and Ethical Considerations.2025