Day, Michael James ORCID: https://orcid.org/0000-0001-9612-2595 and Zhang, Tracy (2026) Leveraging Generative AI for IELTS preparation: student perspectives on language learning. Education Sciences, 16 (5):673. ISSN 2227-7102 (Online) (doi:10.3390/educsci16050673)

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Abstract

This study investigates Chinese students’ perspectives on leveraging Generative Artificial Intelligence (GenAI) to enhance reading and writing abilities in preparation for the language learning and examination. 76 students enrolled in an online virtual learning environment (VLE) and participated in forum discussions prompted by questions relating to AI use and different study practices. Analysis identified 33 detailed forum posts written by and between students that specifically engaged in discussions concerning the use of AI to support English as an Additional Language (EAL) fluency, academic reading/writing skills, and IELTS-related skills development. This article presents an analysis of these contributions using thematic analysis. An inductive approach enabled the identification of key themes relating to students’ perceptions. Findings indicated that students appreciated AI’s capacity for personalised language learning, reading and writing practice while expressing reservations about overreliance on digital tools. The concept of Artificially Intelligent Mediated Counterbalance (AIMC) is proposed to capture students’ reported strategies for integrating AI tools with traditional study methods to maintain authentic language development. The article concludes by discussing the implications of AIMC for educators and policymakers seeking to support the responsible integration of AI into language education.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue The Impact of Artificial Intelligence on Teaching and Learning.
Uncontrolled Keywords:	language learning, Artificial Intelligence, IELTS, generative AI, English as an Additional Language (EAL)
Subjects:	L Education > L Education (General) P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development Information & Library Services
Last Modified:	24 Apr 2026 11:32
URI:	https://gala.gre.ac.uk/id/eprint/52881

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