Undergraduate students' perceptions on utilizing Deepseek AI as a tool in writing journal articles
DOI:
https://doi.org/10.22219/celtic.v12i2.41375Abstract
In the ever-evolving digital era, artificial intelligence technologies such as DeepSeek AI are widely used by academics as a solution to writing challenges, especially among students who still develop their academic writing skills. This study aimed to deeply understand undergraduate students' perceptions of the advantages and disadvantages of using DeepSeek AI as a tool in the process of writing scientific journal articles. This study used a qualitative approach with a case study design involving ten students from various educational majors who had used DeepSeek AI in the process of writing scientific journals. 10 participants were selected through purposive sampling based on specific criteria, including prior experience using DeepSeek AI in academic writing. Data were collected through a questionnaire with a Likert scale and semi-structured interviews to capture perceptions in more depth. The results showed that most students felt real benefits from using DeepSeek AI, especially in helping to generate initial ideas when experiencing writer's block, structuring writing more systematically, and improving technical aspects such as grammar and scientific writing style. This study emphasized the importance of using technology wisely in the context of higher education, as well as the need to strengthen information literacy and critical thinking skills in the digital era. Thus, DeepSeek AI is potential to be an effective tool in supporting the learning process, as long as it is used in a balanced manner and does not replace the important role of humans in thinking and writing scientifically.
Downloads
References
Akin, Tan., et. al. (2022). Oral corrective feedback on lexical errors: a systematic review. Applied Linguistics Review, vol. 15, no. 3, 2024, pp. 1177-1221. https://doi.org/10.1515/applirev-2022-0053
Alghazi, S., et. al. (2020). Towards sustainable mobile learning: A brief review of the factors influencing acceptance of the use of mobile phones as learning tools, 12(24), 10527. https://doi.org/10.3390/su122410527
Arima Azwati., et. al. (2022). EFL postgraduate students’ critical thinking beliefs and their ability in writing research methodology. Celtic : A Journal of Culture, English Language Teaching, Literature and Linguistics, 9(1), 39–52. https://doi.org/10.22219/celtic.v9i1.20166
Baxter, P., & Jack, S. (2008). Qualitative case study methodology: Study design and implementation for novice researchers. The Qualitative Report, 13(4), 544-559. https://doi.org/10.46743/2160-3715/2008.1573
Bit., et. al. (2024). The impact of artificial intelligence in educational system. Indo American Journal of Pharmaceutical Research, 2024(11), 14. www.iajpr.comwww.iajpr.com
Brown, T. B., et. al. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems. Vol. 4. 40-32. https://doi.org/10.48550/arXiv.2005.14165.
Celik, I. (2023). Towards intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138(2023), 1-12. https://doi.org/10.1016/j.chb.2022.107468
Gao, T., et .al. (2025). A Comparison of DeepSeek and Other LLMs. arXiv. arXiv [2502.03688].
Guo, & Zaini. (2024). Artificial intelligence in academic writing: A literature review. Asian Pendidikan., 11(1), 1–14. https://doi.org/https://doi.org/10.53797/aspen.v4i2.6.2024.
Hamann, K. (2019). Review of minds online: Teaching effectively with technology. Journal of Political Science Education, 3(1). DOI:10.2458/azu_itet_v3i1_silvestri
Hz, B. I. R. (2024). AI’s capability in understanding text context: Students’ experiences. LET: Linguistics, Literature and English Teaching Journal, 14(2)(182–200). https://doi.org/10.18592/let.v14i2.14316
Hz, B. I. R., et. al. (2023). Navigating English writing proficiency tests in the era of artificial intelligence. Journal of English Education and Teaching, 7(3), 480–498. https://doi.org/10.33369/jeet.7.3.480-498
Jeremy, Lin, B., et. al (2024). Investigating the nature of open science practices across complementary, alternative, and integrative medicine journals: An audit. PLoS ONE, 19(5). https://doi.org/10.1371/journal.pone.0302655
Johnston, H., et. al. (2025). Discovering how students use generative artificial intelligence tools for academic writing purposes. Journal of Learning Development in Higher Education. (34). https://doi.org/10.47408/jldhe.vi34.1301.
Jones, A., et.al. (2022). Supporting the learning experience of health‐related profession students during clinical placements with technology: A systematic review. Review of Education. 10(2). https://doi.org/10.1002/rev3.3364
Kerimbayev, N., et. al. (2024). A Comparative Analysis of Generative AI Models for Improving Learning Process in Higher Education. International Conference Automatics and Informatics, 271-276. http://dx.doi.org/10.1109/ICAI63388.2024.10851491.
Krippendorff, K. (2004). Content analysis: An introduction to its methodology. SAGE Publications, 2-77 https://doi.org/10.4135/9781071878781.
Leest, B., & Wolbers, M. (2020). Critical thinking, creativity and study results as predictors of selection for and successful completion of excellence programmes in Dutch higher education institutions. Uropean Journal of Higher Education, 11, 29-43. https://doi.org/10.1080/21568235.2020.1850310.
Lintner, & Tomáš. (2024). A systematic review of AI literacy scales. Npj Science of Learning, 9(1). https://doi.org/10.1038/s41539-024-00264-4
Liu, X., & Xiao, Y. (2024). Chinese university teachers’ engagement with generative AI in different stages of foreign language teaching: A qualitative enquiry through the prism of ADDIE. Educ. Inf. https://doi.org/https://doi.org/10.1007/s10639-024-13117-9.
Mohr, K., et. al. (2024). Evidence‐based practices to enliven integrated reading‐to‐writing instruction. International Literacy Association, Vol 77(6), 909-917. https://doi.org/10.1002/trtr.2321.
Nowell, L. S., et. al. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847
Rudolph, J., et. al. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342–363. https://doi.org/10.37074/jalt.2023.6.1.9
Sallam., et. al. (2025). DeepSeek: Is it the end of generative AI monopoly or the mark of the impending doomsday? Mesopotamian Journal of Big Data, 2025, 26–34. https://doi.org/10.58496/MJBD/2025/002
Schepers, J., et. al. (2022). How smart should a service robot be? Journal of Service Research, 25(4), 565–582. https://doi.org/10.1177/10946705221107704
Setiawan, A., & Luthfiyani, U. K. (2023). Penggunaan ChatGPT untuk pendidikan di era education 4.0: Usulan inovasi meningkatkan keterampilan menulis. Sustainability (Switzerland)JURNAL PETISI (Pendidikan Teknologi Informasi), 4(1), 49–58. https://e-journal.unimudasorong.ac.id/index.php/jurnalpetisi/article/view/784
Silalahi, R. M. (2025). Indonesian university students’ perceptions of ChatGPT for English essay writing: Persepsi mahasiswa Indonesia terhadap ChatGPT dalam penulisan esai bahasa Inggris]. Polyglot: Jurnal Ilmiah, 21(1), 1–35. https://doi.org/10.19166/pji.v21i1.8896
Sugiarni, S., et. al. (2025). Padlet and process writing: A collaborative way for improving students’ writing achievement. Celtic: A Journal of Culture, English Language Teaching, Literature and Linguistics, 12(1), 369–383. https://doi.org/10.22219/celtic.v12i1.40607
Taherdoost, H. (2022). How to conduct an effective interview: A guide to interview design in research study authors. International Journal of Academic Research in Management (IJARM), 11(1), 39–51. https://doi.org/https://hal.science/hal-03741838v1
Zebua, J. A. Z., & Katemba, C. V. (2024). Students’ perceptions of using the Open AI ChatGPT application in improving writing skills. Journal of Language and Literature Studies, 4(1), 110–123. https://doi.org/10.36312/jolls.v4i1.1805
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Aisyah Rizqa Fitri Siregar , Benni Ichsanda Rahman Hz

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
- Authors retain copyright to publish without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.





















