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February 22, 20260 citationsOpen Access

Personalized Language Learning Using AI and Large Language Models

Personalized Language Learning with AI and Large Language Models: Tailoring Instruction to Learner Prerequisites

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Authors

SZSaima ZamanNKNahid Awad KheriMAMehreen Andleeb

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Overview

Analysis demonstrates effective instructional alignment in AI-supported language learning, highlighting learner readiness.

Key Points

  • This research aims to redefine personalization in language education by emphasizing learner prerequisites and instructional readiness.
  • Introduced a prerequisite-centered framework for language learning personalization.
  • Analyzed various AI-supported approaches to language learning, focusing on instructional tailoring.
  • Evaluated the effectiveness of existing systems in aligning instruction with learner readiness.
  • Contemporary AI systems often lack principled mechanisms for instructional alignment.
  • The proposed framework reveals gaps in aligning instructional decisions with learners' developmental preparedness.
  • The analysis suggests improvements for AI tools to support tailored language learning.
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Cite This Study

Zaman et al. (2026) studied this question.

synapsesocial.com/papers/699a9e20482488d673cd49a0https://doi.org/10.5281/zenodo.18708792
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