Unraveling the Potential of ChatGPT: Investigating the Efficacy of Reading Text Adaptation





ChatGPT, reading, text adaptation


The purpose of this study is to investigate the effectiveness of ChatGPT in reading text adaptation. Its primary focus is on examining ChatGPT's ability to adapt texts with particular attention to its contextual understanding and limitations. Employing a mixed-methods approach, the research combines quantitative analysis and qualitative evaluation. Quantitative measures assess the consistency of ChatGPT's responses across various text adaptation scenarios, whereas qualitative evaluations involve the assessment of language teachers' attitudes and perceptions towards the use of ChatGPT for text adaptation in their teaching practices. Ethical considerations pertaining to potential biases and misinformation in the model's output are also discussed. The outcomes of this investigation contribute to understanding ChatGPT's strengths and limitations in reading text adaptation. The research has practical implications for domains such as language education, content creation, and information retrieval, where accurate and adaptable text comprehension is crucial.

Author Biography

Nguyen Thi Quynh Yen, The university of Languages and International Studies, Vietnam National University, Vietnam

Yen Thi Quynh Nguyen (Vietnam) has been working for the University of Languages and International Studies, Vietnam National University – Hanoi (ULIS-VNU) for 20 years. She holds an MA in Teaching English as a Second Language and holds a PhD in English Language Teacher Education. She is currently the director of the Center for Language Testing and Assessment, ULIS-VNU. Her research interests include English linguistics, teaching methodology and language assessment.


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How to Cite

Nguyen, T. Q. Y. (2024). Unraveling the Potential of ChatGPT: Investigating the Efficacy of Reading Text Adaptation. Proceedings of the AsiaCALL International Conference, 4, 159–169. https://doi.org/10.54855/paic.23412

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