CONCLUSION
In conclusion, students' reliance on and confidence in using ChatGPT to prepare and complete their FYP as a
tool is a good thing. However, it needs to be monitored, and guidelines must be given to maintain integrity and
ethics. This role also needs to be played by the institution by providing clear guidance and instruction on the
procedures for using AI in research and teaching so that it is beneficial and integrity is not questioned.
However, students majoring in Arabic need to seek advice and review it from their supervisors or lecturers
after using it, because sometimes the information or language conveyed by AI is inaccurate and needs to be
refined.
This study suggests that future researchers should be able to conduct studies across institutions with various
instruments and experimental forms, in addition to measuring the originality of the work and recording how
students interact with AI. Arabic-based studies, in particular, need to be seen regarding AI teaching and
knowledge that can be carried out in Arabic.
ACKNOWLEDGEMENTS
Special thanks to Anis Nurfazliynn Binti Muhd Yusuff, an undergraduate student of Arabic Language, for her
assistance in preparing the analysis of the study findings.
RUJUKAN
1. Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: A systematic review of AI Ed
research. Education Sciences, 12(2), 98. https://doi.org/10.3390/educsci12020098
2. Al-Khalaf, E., & Al-Shehri, A. (2023). Artificial intelligence in Arabic language learning: Opportunities
and challenges. Journal of Language and Linguistic Studies, 19(1), 45–60.
3. Alyaqoubi, A., Al-Harbi, M., & Alzahrani, S. (2024). Integrating traditional and modern methods in Arabic
language instruction: A decade of technological transition. Journal of Arabic Language Education and
Technology, 12(1), 45–63.
4. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review,
84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
5. Bettayeb, A. M., Abu Talib, M., Altayasinah, A. Z. S., & Dakalbab, F. (2024). Exploring the impact of
ChatGPT: Conversational AI in education. Frontiers in Education, 9,
https://doi.org/10.3389/feduc.2024.1379796
6. Bhullar, P. S., Joshi, M., & Chugh, R. (2024). ChatGPT in higher education—a synthesis of the literature
and a future research agenda. Education and Information Technologies, 29, 21501–21522.
https://doi.org/10.1007/s10639-024-12723-x
7. 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
8. Dempere, J., Allam, K. M., Lakshmana Kumar, H., & Ramasamy, L. K. (2023). The impact of ChatGPT on
higher education. Frontiers in Education, https://doi.org/10.3389/feduc.2023.1206936
9. Dempere, J., Modugu, K. A., & Ramasamy, H. L. K. (2023). The impact of ChatGPT on higher education.
Frontiers in Education, 8, https://doi.org/10.3389/feduc.2023.1206936
10. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., … Wright, R. (2023). "So
what if ChatGPT wrote it?" Multidisciplinary perspectives on generative conversational AI. International
Journal of Information Management, 71, https://doi.org/10.1016/j.ijinfomgt.2023.102642
11. Fleisch, H. (1997). Al-‘Arabiyyah al-Fuṣḥā: Dirāsah fī al-binā’ al-lughawī (ʿAbd al-Ṣabūr Shāhīn, Trans. &
Ed.). Dār al-Shabāb.
12. Goodhue, D. L., & Thompson, R. L. (1995). Task technology fit and individual performance. MIS
Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689