Evaluating HUFLIT Lecturers’ Perspectives on ChatGPT’s Capabilities in Designing English Testing and Assessment

Authors

DOI:

https://doi.org/10.54855/paic.24612

Keywords:

ChatGPT’s capabilities, testing and assessment, lecturers’ perspectives, HUFLIT

Abstract

Despite its widespread adoption in education, the potential of ChatGPT in English language teaching and learning, especially in testing and assessment design, still needs to be studied. This paper, therefore, seeks to investigate lecturers’ perspectives on the capabilities of ChatGPT in designing English testing and assessment with the participation of thirty lecturers of the Faculty of Foreign Languages at HUFLIT. Data from the questionnaire and semi-structured interview suggest that ChatGPT is a promising tool for designing English testing and assessment owing to its versatility in drafting quicker, more diverse, and more detailed types of questions, resulting in enhanced time efficiency and reduced efforts in test design. The greatest areas of concern, however, lie in ChatGPT's inability to generate questions that match the specific learning outcomes and students' linguistic abilities. The study contributes to providing lecturers with in-depth insights into the potentialities and challenges of ChatGPT in testing and assessment design, assisting them in employing this AI tool more critically and effectively.

Author Biography

Le Thi Thu Huong, Ho Chi Minh City University of Foreign Languages and Information Technology, Vietnam

Huong Thi Thu Le is currently an experienced lecturer working for the Faculty of Foreign Languages, HUFLIT, Vietnam with more than twelve years of teaching experience. She earned a Bachelor’s Degree from Ho Chi Minh University of Education and holds a Master’s Degree in TESOL from Victoria University. Her interests are primarily novel methodologies to enhance students' learning and achievement, AI tools, and how these can make radical improvements in learners.

References

Abas, M. A., Arumugam, S. E., Yunus, M. M., & Rafiq, K. R. (2023). ChatGPT and Personalized Learning: Opportunities and Challenges in Higher Education. International Journal of Academic Research in Business and Social Sciences, 13(12), 3536-3545. DOI: https://doi.org/10.6007/IJARBSS/v13-i12/20240

Ahmed, F., Ali, S., & Shah, R. A. (2019). Exploring Variation in Summative Assessment: Language Teachers’ Knowledge of Students' Formative Assessment and Its Effect on their Summative Assessment. Bulletin of Education and Research, 41(2), 109-119.

Almasre, M. (2024). Development and Evaluation of a Custom GPT for the Assessment of Students’ Designs in a Typography Course. Education Sciences, 14, 1-19. https://doi.org/10.3390/educsci14020148 DOI: https://doi.org/10.3390/educsci14020148

Amin, M. Y. (2023). AI and Chat GPT in Language Teaching: Enhancing EFL Classroom Support and Transforming Assessment Techniques. International Journal of Higher Education Pedagogies, 4(4), 1-15. Retrieved from https://doi.org/10.33422/ijhep.v4i4.554 DOI: https://doi.org/10.33422/ijhep.v4i4.554

Baskara, F. R., & Mukarto, F. (2023). Exploring the Implications of ChatGPT for Language Learning in Higher Education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358.

Beikmahdavi, N. (2016). Washback in Language Testing: Review of Related Literature First. International Journal of Modern Language Teaching and Learning, 1(4), 130-136.

Black, P., & Jones, J. (2006). Formative assessment and the learning and teaching of MFL: sharing the language learning road map with learners. Language Learning Journal(34), 4-9. DOI: https://doi.org/10.1080/09571730685200171

Brown, G. T. (2004). Teachers' conceptions of assessment: Implications for policy and professional development. Assessment in Education: Principles, Policy & Practice, 301-318. https://doi.org/10.1080/0969594042000304609 DOI: https://doi.org/10.1080/0969594042000304609

Chandio, M. T., & Jafferi, S. (2015). Teaching English as a Language not Subject by Employing Formative Assessment. Journal of Education and Educational Development, 2(2), 151-171. DOI: https://doi.org/10.22555/joeed.v2i2.444

Fadilah, R., Ayudhia, H. Y., Chairani, V. S., & Afni, F. (2023). Assessment of English Language Teaching for 21st Century: Teachers’ Perspectives on Traditional and Alternative Assessment. JADEs Journal of Academia in English Education, 4(1), 108-130. Retrieved from https://journal.iainlangsa.ac.id/index.php/jades DOI: https://doi.org/10.32505/jades.v4i1.6023

Heaven, W. D. (2023, April 7). ChatGPT is going to change education, not destroy it. MITTechnology Review. Retrieved from https://www.technologyreview.com/2023/04/06/1071059/-chatgpt-

Jain, N. (2021). Survey Versus Interviews: Comparing Data Collection Tools for Exploratory Research. The Qualitative Report, 26(2), 541-554. Retrieved from https://doi.org/10.46743/2160-3715/2021.4492 DOI: https://doi.org/10.46743/2160-3715/2021.4492

Kolade, O., Owoseni, A., & Egbetokun, A. (2024). Is AI changing learning and assessment as we know it? Evidence from a ChatGPT experiment and a conceptual framework. Heliyon, 10, 1-21. DOI: https://doi.org/10.1016/j.heliyon.2024.e25953

Koraishi, O. (2023). Teaching English in the Age of AI: Embracing ChatGPT to Optimize EFL Materials and Assessment. Language Education & Technology(LET Journal), 3(1), 55-72.

Kostka, I., & Toncelli, R. (2023). Exploring Applications of ChatGPT to English Language Teaching: Opportunities, Challenges, and Recommendations. The Electronic Journal for English as a Second Language, 27(3), 1-19. DOI: https://doi.org/10.55593/ej.27107int

Kuphanga, D. (2024). Questionnaires in Research: Their Role, Advantages, and Main Aspects. Research Gate, 1-8. https://doi.org/10.13140/RG.2.2.15334.64325

Mansory, M. (2020). The Significance of Non-traditional and Alternative Assessment in English Language Teaching: Evidence From Literature. International Journal of Linguistics, 12(5), 210-225. DOI: https://doi.org/10.5296/ijl.v12i5.17782

Moqbel, M. S., & Al-Kadi, A. M. (2023). Foreign Language Learning Assessment in the Age of ChatGPT: A Theoretical Account. Journal of English Studies in Arabia Felix, 2(1), 71–84. https://doi.org/10.56540/jesaf.v2i1.62 DOI: https://doi.org/10.56540/jesaf.v2i1.62

Nguyen, T. P. 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. DOI: https://doi.org/10.54855/paic.2348 DOI: https://doi.org/10.54855/paic.2348

Pham, V. P. H., & Le, A. Q. (2024). ChatGPT in Language Learning: Perspectives from Vietnamese Students in Vietnam and the USA. International Journal of Language Instruction, 3(2), 59-72. DOI: https://doi.org/10.54855/ijli.24325 DOI: https://doi.org/10.54855/ijli.24325

Rasul, T., Nair, S., Kalendra, D., Robin, M., Oliveira, F. d., Ladeira, W. J., . . . Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning & Teaching, 6(1), 1-16. DOI: https://doi.org/10.37074/jalt.2023.6.1.29

Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and Open-AI Models: A Preliminary Review. Future Internet, 15, 1-24. DOI: https://doi.org/10.3390/fi15060192

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. DOI: https://doi.org/10.37074/jalt.2023.6.1.9

Trumbull, E., & Lash, A. (2013). Understanding Formative Assessment: Insights from Learning Theory and. San Francisco: WestEd.

Widiastuti, I. A., & Saukah, A. (2017). Formative Assessment in EFL Classroom Practices. Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya, 45(1), 50-63. https://doi.org/10.17977/um015v45i12017p050 DOI: https://doi.org/10.17977/um015v45i12017p050

Zaiarna, I., Zhyhadlo, O., & Dunaievska, O. (2024). ChatGPT In Foreign Language Teaching And Assessment: Exploring EFL Instructors’ Experience. Information Technologies and Learning Tools, 102(4), 176-191. https://doi.org/10.33407/itlt.v102i4.5716 DOI: https://doi.org/10.33407/itlt.v102i4.5716

Downloads

Published

2024-11-29

How to Cite

Le, T. T. H. (2024). Evaluating HUFLIT Lecturers’ Perspectives on ChatGPT’s Capabilities in Designing English Testing and Assessment. Proceedings of the AsiaCALL International Conference, 6, 157–181. https://doi.org/10.54855/paic.24612

Similar Articles

1 2 3 > >> 

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