University Teachers’ Perceptions of Using ChatGPT in Language Teaching and Assessment
DOI:
https://doi.org/10.54855/paic.2349Keywords:
ChatGPT, teacher perceptions, university teachersAbstract
ChatGPT, known as an artificial intelligence (AI) chatbot, has gained popularity in various fields, including language education, since its launch in 2022. Accordingly, stakeholders have voiced a growing concern about its potential and challenges in different areas. In such a context, the present study investigates teachers’ perceptions about using ChatGPT in language teaching and assessment. The data were collected via a questionnaire survey from the teachers working in Vietnam’s universities, where language teaching is an important field. They were asked about their knowledge and concerns relating to using this conversational AI tool in their teaching and assessment activities and the challenges they might face. The outcomes of this research are likely to play a part in understanding how university teachers access and apply the new technological development to their current work, how they perceive its appropriateness, as well as how they handle its impacts. The investigation has practical implications for providing teachers with professional assistance in managing AI models.
References
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), 1-13. https://doi.org/10.30935/cedtech/13152
Aktay, S., Gök, S., & Uzunoğlu, D. (2023). ChatGPT in education. Türk Akademik Yayınlar Dergisi (TAY Journal), 7(2), 378-406. https://dergipark.org.tr/en/pub/tayjournal/issue/76658/1259832
Alam, A., Hasan, M., & Raza, M. M. (2022). Impact of artificial intelligence (AI) on education: Changing paradigms and approaches. Towards Excellence: An Indexed Refereed & Peer-reviewed Journal of Higher Education, 14(1), 281-289.
Aru, J., Rutiku, R., Wibral, M., Singer, W., & Melloni, L. (2016). Early effects of previous experience on conscious perception. Neuroscience of Consciousness, 1, 1-10. https://doi.org/10.1093/nc/niw004
Bonsu, E. M., & Baffour-Koduah, D. (2023). From the consumers’ side: Determining students’ perception and intention to use ChatGPT in Ghanaian higher education. Journal of Education Society & Multiculturalism, 4(1), 1-29. https://doi.org/10.2478/jesm-2023-0001
Castro, C. A. (2023). Discussion about the impact of ChatGPT in education: Benefits and concerns. Journal of Business Theory and Practice, 11(2). 28-34. http://dx.doi.org/10.22158/jbtp.v11n2p28
Chen, H., Ning, X., Wang, L., & Yang, Jiongjiong. (2018). Acquiring new factual information: Effect of Prior Knowledge. Frontiers in Psychology, 9, 1-14. https://doi.org/10.3389/fpsyg.2018.01734
Chien, S. P, Wu, H. K., & Hsu, Y. S. (2014). An investigation of teachers’ beliefs and their use of technology-based assessments. Computer in Human Behavior, 31, 198-210. https://doi.org/10.1016/j.chb.2013.10.037
Chinoso, O. E., Theresa, A. M., & Aduke, T. C. (2023). ChatGPT for teaching, learning, and research: Prospects and challenges. Global Academic Journal of Humanities and Social Sciences, 5(2), 33-40. https://doi.org/10.36348/gajhss.2023.v05i02.001
Cousins, J. (2023). What is Chat GPT? Why is it here to stay? Tech
Funding News. https://techfundingnews.com/what-is-chat-gpt-why-is-it-here-tostay/
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning & Teaching, 6(1), 57-63. https://doi.org/10.37074/jalt.2023.6.1.22
Gill, S. S., & Kaur, R. (2023). ChatGPT: Vision and challenges. Internet of Things and Cyber-Physical Systems, 3, 262-271. https://doi.org/10.1016/j.iotcps.2023.05.004
Göçen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13-21.
Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring teachers’ attitudes towards using ChatGPT. Global Journal for Management and Administrative Science, 3(4), 97-111. https://doi.org/10.46568/gjmas.v3i4.163
Kasneci, E., Sessler, K., Kuchemann, S., Bannert, M., Dementieva,
D., Fischer, F., Gasser, U., Groh, G., Gunnemann, S., Hullermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., Kasneci, G. (2023). ‘ChatGPT for good? On opportunities and challenges of large language models for education. Learn. Individual Differences, 103, 102274-102287.
ChatGPT for good? On opportunities and challenges of large language models for education,
Limma, P., Kraiwanit, T., Jangjarat, K., Klayklung, P., & Chocksathaporn, P. (2023). The use of ChatGPT in the digital era: Perspectives on chatbot implementation. Journal of Applied Learning & Teaching, 6(1), 64-74. https://doi.org/10.37074/jalt.2023.6.1.32
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. https://doi.org/10/54855/paic.2348
OpenAI (n.d.). What is ChatGPT: Commonly asked questions about ChatGPT. https://help.openai.com/en/articles/6783457-what-is-chatgpt
Owens, B. (2023). How nature readers are using ChatGPT. Nature, 615(7950), 20. https://doi.org/10.1038/d41586-023-00500-8
Reyna, J. (2023). AI in the classroom: A comprehensive framework for ChatGPT integration in teaching and learning in higher education. 1-14. https://www.academia.edu/103207218/2023_AI_in_the_Classroom_A_Comprehensive_Framework_for_ChatGPT_Integration_in_Teaching_and_Learning_in_Higher_Education
Samaha, J., Boutonnet, B., Postle, B. R., Lupyan, G. (2016). How prior knowledge prepares perception: Alpha-band oscillations carry perceptual expectations and influence early visual responses. bioRxiv. https://doi.org/10.1101/076687
Shoufan, A. (2023). Exploring students’ perceptions of ChatGPT: Thematic analysis and follow-up survey. IEEE Access, 11, 38805-38818. https://doi.org/10.1109/ACCESS.2023.3268224
Tran, Q. T., & Duong, H. (2021, January 22-23). Tertiary non-English majors’ attitudes towards autonomous technology-based language learning [Conference session]. AsiaCALL2021 – the 17th International Conference & VLTESOL, Ho Chi Minh City, Vietnam. https://asiacall.info/proceedings/index.php/articles/article/view/20/20
Tran, T. N., & Tran, H. P. (2023). Exploring the role of ChatGPT in developing critical digital literacies in language learning: A qualitative study. Proceedings of the AsiaCALL International Conference, 4, 1-17. https://doi.org/10.54855/paic.2341
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