Huang, X. orcid.org/0009-0004-8040-0836, Zhao, H. and Dang, T.N.Y. orcid.org/0000-0002-3189-7776 (2026) Exploring the potential of ChatGPT to create reading materials for incidental learning of academic vocabulary. Journal of English for Academic Purposes, 84. 101777. ISSN: 1475-1585
Abstract
Although Generative AI (GenAI) has the potential to create materials for EAP students to learn academic vocabulary, this potential has received little empirical investigation. To address this gap, this study developed three ChatGPT corpora of extensive reading materials targeting EAP learners at different vocabulary levels. Each corpus was evaluated against key conditions needed for vocabulary through extensive reading (comprehensibility, repetition, spaced retrieval, varied encounters, and elaboration). The results indicate that ChatGPT can be a useful resource for generating extensive reading materials to support academic vocabulary learning among EAP learners. However, to optimise learning outcomes, these materials need further revision and pedagogical mediation from teachers.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Academic vocabulary; Extensive reading; English for academic purposes; Material development; Generative AI; ChatGPT |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Education (Leeds) |
| Date Deposited: | 22 Sep 2026 10:54 |
| Last Modified: | 22 Sep 2026 10:54 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.jeap.2026.101777 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:245457 |
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