LEARNING OR COPYING? A PHENOMENOLOGICAL STUDY OF STUDENTS’ RELIANCE ON CHATGPT IN WRITING TASKS
DOI:
https://doi.org/10.35194/iconnects.v3i1.6033Abstract
In recent years, the use of Artificial Intelligence (AI) has rapidly increased in education, particularly in writing activities. Many students rely on ChatGPT to complete their writing tasks, which raises questions about whether the tool genuinely supports learning or instead fosters dependency. This research aims to explore students’ experiences in using ChatGPT for writing and to examine whether it enhances their understanding or reduces their ability to think critically and write independently. This study adopts a qualitative phenomenological approach involving students from the English Department at Suryakancana University. The data are collected through interviews and document analysis, focusing on students’ narratives and written works related to the use of ChatGPT in academic writing tasks. The interview data provide insights into students’ perceptions, strategies, and challenges when using ChatGPT, while document analysis examines how the tool is reflected in their written assignments. The collected data are analyzed thematically to identify recurring patterns and meanings in students’ experiences. The findings are expected to provide a deeper understanding of how ChatGPT influences students’ writing processes, learning autonomy, and critical thinking skills. This study is also expected to contribute to discussions on the responsible and ethical use of AI tools in higher education, particularly in maintaining a balance between receiving technological support and developing independent writing competence.References
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Zimmerman, B. J., & Schunk, D. H. (2012). Motivation: An essential dimension of self-regulated learning. In Motivation and Self-Regulated Learning (pp. 1—30). New York: Routledge.
Brown, H. D. (2001). Teaching by principles: An interactive approach to language pedagogy (2nd ed.). New York: Addison Wesley Longman, Inc.
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
Hartley, K., Bendixen, L. D., Gianoutsos, D., & Shreve, E. (2020). The smartphone in self-regulated learning and student success: Clarifying relationships and testing an intervention. International Journal of Educational Technology in Higher Education, 17(1), 52. https://doi.org/10.1186/s41239-020-00227-3
Naatonis, R. N., Snae, M., Latuan, Y. J., & Anggraini, D. (2025). Modelling user acceptance of personalised learning apps in high schools using the SEM approach. Indonesian Journal of Educational Development (IJED), 6(3), 971—984.
Rahmat, N. H., & Whanchit, S. (2024). Writing is a sociocultural process: Exploring interactions in pair work through social constructivism. Journal of English Language Teaching, 12(2), 45—58.
Sukhodolov, Y. A. (2019). The notion, essence, and peculiarities of industry 4.0 as a sphere of industry. In Popkova, E. G., Ragulina, Y. V., & Bogoviz, A. V. (eds.), Industry 4.0: Industrial Revolution of the 21st Century (pp. 3—10), Studies in Systems, Decision and Control 169. Switzerland: Springer.
Viorennita, A., Dewi, L., & Riyana, C. (2023). The role of ChatGPT AI in student learning experience. Indonesian Journal of Multidisciplinary Research, 3(2), 445—452.
Wang, N., & Lester, J. (2023). K-12 education in the age of AI: A call to action for K-12 AI literacy. International Journal of Artificial Intelligence in Education, 33(2), 228—232.
Zimmerman, B. J., & Schunk, D. H. (2012). Motivation: An essential dimension of self-regulated learning. In Motivation and Self-Regulated Learning (pp. 1—30). New York: Routledge.
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Published
2026-02-15
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