Students’ Perspectives on Using Artificial in Academic Writing
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Keywords:
Artificial Intelligence, Academic Writing, Students’ Perspectives, English Education Students, Higher EducationAbstract
The development of Artificial Intelligence (AI) has greatly impacted English language learning, especially It adopted a descriptive quantitative approach through a survey. The sample included 20 fourth-semester students, with 16 females and 4 males. Data were gathered via an online Likert-scale questionnaire focusing on AI’s benefits, ease of use, and challenges in academic writing. Descriptive statistics, such as percentages and mean scores, were used to analyze the responses. Results showed that most students viewed AI positively, citing its help in idea generation, grammar correction, vocabulary enhancement, and increasing writing efficiency. Some students, however, expressed concerns about overdependence on AI and its possible effects on critical thinking. Overall, AI was seen as a helpful tool for boosting students’ academic writing skills.
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References
Bailey, S. (2018). Academic writing: A handbook for international students (5th ed.). Routledge.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. arXiv. https://doi.org/10.48550/arXiv.2305.00290
Chen, X., Zou, D., Cheng, G., & Xie, H. (2022). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/10.1016/j.compedu.2020.103855
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating? Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., & Wright, R. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
Firat, M. (2023). How ChatGPT can transform autodidactic experiences and open education. Open Praxis, 15(1), 1–8. https://doi.org/10.55982/openpraxis.15.1.579
Hyland, K. (2019). Second language writing (2nd ed.). Cambridge University Press.
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., Pfeiffer, F., 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
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410
Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative AI tools and the future of higher education. Journal of University Teaching & Learning Practice, 20(5), 1–15. https://doi.org/10.53761/1.20.5.02
Okonkwo, C. W., & Ade-Ibijola, A. (2024). ChatGPT in education: A systematic literature review. Heliyon, 10(2), e24835. https://doi.org/10.1016/j.heliyon.2024.e24835
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D (Edisi ke-2). Alfabeta.
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Zhai, X. (2022). ChatGPT user experience: Implications for education and learning. Educational Technology & Society, 25(4), 1–12.
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