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January 1, 2025International Journal of Research and Innovation in Social Science

Artificial Intelligence and Personalized Learning in ESL: A Systematic Review of Adaptive Material Design and Ethical Considerations.

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Authors

PNPrialoshini NaterkumarHHHarwati Hashim

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Overview

Systematic review reveals AI's influence on personalized learning in ESL, highlighting ethical concerns.

Key Points

  • AI-driven platforms significantly enhance language proficiency through personalized learning routes and real-time feedback, boosting student engagement.
  • The review examined 20 peer-reviewed publications between 2014 and 2025, employing the PRISMA methodology for comprehensive data synthesis.
  • Evidence suggests that adaptive material design addresses diverse learner needs compared to traditional ESL instruction methods.
  • Addressing challenges like algorithmic bias and data privacy is critical to ensure ethical integration of AI in educational settings.

Cite This Study

Naterkumar et al. (2025) studied this question.

synapsesocial.com/papers/68af59e3ad7bf08b1eadec2ahttps://doi.org/10.47772/ijriss.2025.907000343
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