“Why Can’t I Use ChatGPT for My Academic Learning?” Voices from Ph.D. Students in a Thai University
Main Article Content
Abstract
Amidst the integration of AI tools in education, ChatGPT is considered prevalent for its potential capacities. Although research into this phenomenon has been conducted by worldwide scholars, little has been known about the perceptions of Ph.D. students of non-English speaking countries. Hence, this qualitative study shifted the focus to this marginalized group of participants in a specific university in Thailand. Based on the constructivist worldview, the study featured interviews with four Ph.D. students. Data were analyzed using thematic analysis. The findings of the study uncovered a nuanced view of the use of ChatGPT in empowering academic advancement for Ph.D. students while the challenges are also significant, including the impacts on critical thinking, ethical issues, and specialized terms. The findings further advocated responsible ChatGPT use and called for institutional support in terms of academic integrity. This research design contributes a unique perspective to the discourse on using ChatGPT in education, emphasizing a contextualized experience and the needs of non-native English-speaking Ph.D. students in utilizing ChatGPT for academic purposes.
Article Details
References
AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68.
https://doi.org/10.37965/jait.2023.0184
Baskara, F. R., Puri, A. D., & Wardhani, A. R. (2023). ChatGPT and the Pedagogical Challenge: Unveiling the impact on early-career academics in higher education. Indonesian Journal on Learning and Advanced Education (IJOLAE), 5(3), 311-322. https://doi.org/10.23917/ijolae.v5i3.22966
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., . . . Amodei, D. (2020). Language Models are few-shot learners. arXiv. https://arxiv.org/pdf/2005.14165.pdf
Braun, V., & Clarke, V. (2014). What can “thematic analysis” offer health and wellbeing researchers? International Journal of Qualitative Studies on Health and Well-being, 9(1), 26152. https://doi.org/10.3402/qhw.v9.26152
Creswell, J. W., & Guetterman, T. C. (2019). Educational research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (6th ed.). Pearson.
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1-15.
https://doi.org/10.1080/14703297.2023.2195846
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63. https://doi.org/10.37074/jalt.2023.6.1.22
Hong, W. C. H. (2023). The impact of ChatGPT on foreign language teaching and learning: Opportunities in education and research. Journal of Educational Technology and Innovation, 5(1), 37-45.
Ienca, M. (2023). Don’t pause giant AI for the wrong reasons. Nature Machine Intelligence, 5(5), 470-471. https://doi.org/10.1038/s42256-023-00649-x
Jeon, J. H., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 28(12), 15873-15892. https://doi.org/10.1007/s10639-023-11834-1
Jeyaraman, M., Ramasubramanian, S., Balaji, S., Jeyaraman, N., Nallakumarasamy, A., & Sharma, S. (2023). ChatGPT in action: Harnessing artificial intelligence potential and addressing ethical challenges in medicine, education, and scientific research. World Journal of Methodology, 13(4), 170-178. https://doi.org/10.5662/wjm.v13.i4.170
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., . . . Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Limna, 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), 1-10.
https://doi.org/10.37074/jalt.2023.6.1.32
Liu, G., & Ma, C. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 1-14.
https://doi.org/10.1080/17501229.2023.2240316
Mao, W. (2022). Analysis of the psychological barriers to spoken English from big data and cross-cultural perspectives. Frontiers in Psychology, 13.
https://doi.org/10.3389/fpsyg.2022.899101
Mirhosseini, S. (2020). Doing qualitative research in language education. Springer Nature. https://doi.org/10.1007/978-3-030-56492-6
Mowbray, S., & Halse, C. (2010). The purpose of the PhD: Theorising the skills acquired by students. Higher Education Research and Development, 29(6), 653-664. https://doi.org/10.1080/07294360.2010.487199
OpenAI. (2023). GPT-4 technical report. arXiv.
https://doi.org/10.48550/arxiv.2303.08774
Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications. http://ci.nii.ac.jp/ncid/BB18275167
Qadir, J. (2022). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. TechRxiv.
https://doi.org/10.36227/techrxiv.21789434.v1
Rusandi, M. A., Ahman, Saripah, I., Khairun, D. Y., & Mutmainnah. (2023). No worries with ChatGPT: Building bridges between artificial intelligence and education with critical thinking soft skills. Journal of Public Health, 45(3), e602-e603. https://doi.org/10.1093/pubmed/fdad049
Shaik, T., Tao, X., Li, Y., Dann, C., McDonald, J., Redmond, P., & Galligan, L. (2022). A review of the trends and challenges in adopting natural language processing methods for education feedback analysis. IEEE Access, 10, 56720-56739. https://doi.org/10.1109/access.2022.3177752
Sławecki, B. (2017). Paradigms in qualitative research. In Springer eBooks (pp. 7-26). https://doi.org/10.1007/978-3-319-65217-7_2
Sumakul, D. T. Y., Hamied, F. A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: Friend or foe? LEARN Journal: Language Education and Acquisition Research Network, 15(1), 232-256.
Szefer, J., & Deshpande, S. (2023). Analyzing ChatGPT’s aptitude in an introductory computer engineering course. arXiv. https://doi.org/10.48550/arxiv.2304.06122
Trương, H., Nguyễn, P., Cao, L., Nguyễn, T., & Nguyễn, P. (2023). Role of ChatGPT in Vietnamese education. EdArXiv. Retrieved from https://osf.io/preprints/edarxiv/52smv
Ulla, M. B., Perales, W. F., & Busbus, S. O. (2023). ‘ To generate or stop generating response’ : Exploring EFL teachers’ perspectives on ChatGPT in English language teaching in Thailand. Learning: Research and Practice, 9(2), 168-182. https://doi.org/10.1080/23735082.2023.2257252
Zhou, C., Li, Q., Li, C., Wang, Y., Liu, Y., Wang, G., Zhang, K., Cheng, J., Yan, Q., He, L., Peng, H., Li, J., Jia, W., Liu, Z., Xie, P., Xiong, C., Pei, J., Yu, P. S., & Sun, L. (2023). A Comprehensive survey on pretrained foundation models: A history from BERT to ChatGPT. arXiv.