2509001537
  • Open Access
  • Article
Using Generative Artificial Intelligence to Support EFL Students’ Writing Proficiency in University in China.
  • Yvonne Marie Tiandem-Adamou

Published: 31 Dec 2024

Abstract

This study offers insights into the impact of integrating cooperative learning with Generative AI (GenAI) to enhance ESL/EFL academic writing in a Chinese EMI university setting. This quasi-experimental study effectively addresses a significant gap in technology-mediated language education by combining cooperative learning strategies with GenAI tools for brainstorming, outlining, grammar, and vocabulary checks. The study design applies pre- and post-intervention assessments, classroom observations, and engagement logs to show how these tools affect students’ writing quality and engagement. The findings revealed a high correlation between the pre-post test for overall writing quality at 0.707 (p < 0.001) and a t-value of -47.357 (p < 0.001), indicating substantial improvements in overall writing quality. The mean scores for each writing skill showed remarkable improvements from pre- to post-intervention, predicting the benefit of language educators using GenAI to improve coherence, grammar, vocabulary, and argumentation skills in ESL contexts. This study advances understanding of technology-enhanced language learning and offers actionable recommendations for educators.

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How to Cite
Tiandem-Adamou, Y. M. Using Generative Artificial Intelligence to Support EFL Students’ Writing Proficiency in University in China.. Journal of Educational Technology and Innovation 2024, 6 (4). https://doi.org/10.61414/jeti.v6i4.213.
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