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

Authors

DOI:

https://doi.org/10.54855/paic.23412

Keywords:

ChatGPT, reading, text adaptation

Abstract

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.

References

Atai, M. R., & Fatahi-Majd, M. (2014). Exploring the practices and cognitions of Iranian ELT instructors and subject teachers in teaching EAP reading comprehension. English for Specific Purposes, 33, 27-38. DOI: https://doi.org/10.1016/j.esp.2013.07.007

Crossley, S. A., Allen, D. B., & McNamara, D. S. (2012). Text readability and intuitive simplification: A comparison of readability formulas. Reading in a foreign language, 23(1), 84-101.

Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32(3), 221. DOI: https://doi.org/10.1037/h0057532

Hong, W.S.H, (2023). The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research. Journal of Education and Technology and Innovation, 5(1),37-45.

Irina, R., Lluisa, A., Coughlan & Ursula, S. (2022). Approaches to simplifying academic texts in English: English teachers' views and practices. English for Specific Purposes, Volume 68, 31-46, ISSN 0889-4906. https://doi.org/10.1016/j.esp.2022.06.001 DOI: https://doi.org/10.1016/j.esp.2022.06.001

Jin, T., & Lu, X. (2018). A data-driven approach to text adaptation in teaching material preparation: Design, implementation, and teacher professional development. Tesol Quarterly, 52(2), 457-467. DOI: https://doi.org/10.1002/tesq.434

Lauren, T. (2021). Adapted text benefits for teachers and students: A retroactive case study. Journal of Learning and Teaching in Digital Age, 2021, 6(1), 15-26. ISSN: 2458-8350. https://dergipark.org.tr/en/pub/joltida

Nation, I.S.P. (2001). Learning vocabulary in another language. Cambridge University Press DOI: https://doi.org/10.1017/CBO9781139524759

Nguyen, Q. H. (2023). AI and Plagiarism: Opinion from Teachers, Administrators and Policymakers. Proceedings of the AsiaCALL International Conference, 4, 75–85. https://doi.org/10.54855/paic.2346. DOI: https://doi.org/10.54855/paic.2346

Nguyen, P. T. T (2023). The Application of ChatGPT in Language Test Design –The What and How. Proceedings of the AsiaCALL International Conference, 4,104-115. ISSN: 2833-6836; ISBN: 979-8-9870112-4-9. https://doi.org/10.54855/paic.2348 DOI: https://doi.org/10.54855/paic.2348

Rets, I., & Rogaten, J. (2021). To simplify or not? Facilitating English L2 users' comprehension and processing of open educational resources in English using text simplification. Journal of Computer Assisted Learning, 37(3), 705-717. DOI: https://doi.org/10.1111/jcal.12517

Rets, I., Stickler, U., Coughlan, T., & Astruc, L. (2022). Simplification of open educational resources in English. Open World Learning, 89. DOI: https://doi.org/10.4324/9781003177098-8

Van Geel, M. et al. (2023). Adapting Teaching to Students' Needs: What Does It Require from Teachers?. In: Maulana, R., Helms-Lorenz, M., Klassen, R.M. (eds) Effective Teaching Around the World. Springer, Cham. https://doi.org/10.1007/978-3-031-31678-4_33 DOI: https://doi.org/10.1007/978-3-031-31678-4_33

Young, D. N. (1999). Linguistic simplification of SL reading material: Effective instructional practice?. The Modern Language Journal, 83(3), 350-366. DOI: https://doi.org/10.1111/0026-7902.00027

Yen, N.T.Q., Hien, T.T.T., Thao, N.T.P., Chi, N.T., Hoa, N.Q., Christopher, S., Lan, D.H., & Phuong, D.T. (2023). Tài liệu ôn thi VSTEP.3-5. VNU Press. https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests#Flesch_reading_ease

Downloads

Published

2024-02-09

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

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)