Artificial intelligence in action: enhancing reading and writing proficiency in Chinese English learners
Jingdan Liu, Hazrul Abdul Hamid, Xujie Bao
Abstract
Artificial intelligence (AI) is increasingly adopted in Chinese English as a foreign language (EFL) classrooms, yet its learning benefits remain uncertain in an examination-oriented context where reading and writing proficiency are often constrained. This study employed a quantitative quasi-experimental design with pre- and post-tests, involving 67 non-English-major undergraduates assigned to a control group and an AI-integrated group, to examine AI-supported learning effects on reading and writing within a constructive alignment (CA) framework. Both groups improved after the intervention, while the AI-integrated group demonstrated a notably greater gain in reading performance. The findings suggest that CA can strengthen the effectiveness of AI integration by aligning learning outcomes, activities, and assessment, and that AI use, in turn, can reinforce alignment during the learning process. Pedagogical implications are discussed regarding performance disparity, the extension of CA-guided AI use to other EFL domains, and future instructional research.
Keywords
Artificial intelligence; constructive alignment; EFL; reading; writing
DOI:
http://doi.org/10.11591/ijere.v15i2.33508
Refbacks
There are currently no refbacks.
Copyright (c) 2026 Jingdan Liu, Hazrul Abdul Hamid, Xujie Bao
International Journal of Evaluation and Research in Education (IJERE) p-ISSN: 2252-8822 , e-ISSN: 2620-5440 The journal is published by Institute of Advanced Engineering and Science (IAES) .
<div class="statcounter"<a title="Web Analytics Made Easy - StatCounter" href="http://statcounter.com/" target="_blank"<img class="statcounter" src="//c.statcounter.com/11672324/0/2a82bdb4/0/" alt="Web Analytics Made Easy - StatCounter"</div> View IJERE Stats This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .