Impacts of AI-Enhanced LLS Instruction on the English Performance of College Underachieving EFL Learners

Authors

  • Chen Jiao Xi’an University of Finance and Economics, Xi’an, China
  • Malini Ganapathy School of Languages, Literacies and Translation, Universiti Sains Malaysia Penang, Malaysia
  • Hongjing Chang School of Languages, Literacies and Translation, Universiti Sains Malaysia Penang, Malaysia

DOI:

https://doi.org/10.62177/jetp.v2i1.153

Keywords:

Underachieving EFL Learners, AI-Enhanced LLS training, Language Learning Strategy (LLS), Vocational College

Abstract

This study aims to investigate the impacts of LLS AI-enhanced LLS instruction on the English performance of college underachieving EFL learners. Language learning strategies (LLS) are crucial for English language learning, but few studies exist on LLS instruction for EFL underachievers, highlighting further research needs. This study investigates the frequency and preference of language learning strategies used by EFL underachievers and the impact in increasing their strategy application and English academic achievement. The research involved 450 Chinese EFL college learners and 40 Chinese EFL learners, using the Strategy Inventory for Language Learning (SILL), CET-4, and college English final exam. The results showed that underachievers perceived LLS instruction positively, improved their LLS application, and had a positive effect on their English learning skills and academic achievement. The study revealed the effect of LLS instruction and generated an efficient LLS instruction model on underachieving learners and made a useful attempt in the field of research on LLS of vocational EFL college learners. Further research may investigate the hidden influence factors of LLS use of college underachievers.

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How to Cite

Jiao, C., Malini Ganapathy, & Chang, H. (2025). Impacts of AI-Enhanced LLS Instruction on the English Performance of College Underachieving EFL Learners . Journal of Educational Theory and Practice, 2(1). https://doi.org/10.62177/jetp.v2i1.153

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Section

Articles

DATE

Received: 2025-01-23
Accepted: 2025-02-24
Published: 2025-02-27