Investigating PhD Students’ Attitudes towards Using Chatbots for Thesis Correction
Kelthoum RIM
Abbes Laghrour University, Khenchela, Algeria.
rim.kelthoume@univ-khenchela.dz
https://orcid.org/0009-0008-3752-4496
Abdelbasset DOU
Motaghenem University, Algeria.
abdelbasset.dou.en@gmail.com
https://orcid.org/0000-0003-2633-6904
Abstract
This study aims to investigate PhD students’ attitudes towards the use of chatbots to provide them with feedback on their theses. It also assesses the effectiveness of the chatbot in delivering timely and constructive feedback, ultimately contributing to the quality and coherence of students’ work. Moreover, the integration of chatbots into the thesis writing process represents a promising advancement in academic support, offering students immediate feedback and assistance in managing their writing tasks. While chatbots offer valuable support in the thesis writing process, their current capabilities are insufficient to fully replace or seamlessly integrate with traditional supervisor feedback, highlighting the need for a balanced approach to academic writing support. Accordingly, the findings of this study suggest that while chatbots can enhance the writing process by providing timely and organised feedback, there is a need for ongoing development to improve their contextual understanding and analytical depth, ensuring they meet the diverse needs of students engaged in complex research endeavours.
Keywords: Attitudes, Algerian PhD students, Chatbots, feedback, thesis writing
DOI:
https://doi.org/10.70091/atras/AI.33
How to Cite this Paper :
Rim, K., & Dou, A., (2024). Investigating PhD Students’ Attitudes towards Using Chatbots for Thesis Correction. Atras Journal, 5 (Special Issue), 529-540.
References:
Ahmad, N. A., Che, M. H., Zainal, A., Abd Rauf, M. F., & Adnan, Z. (2018). Review of chatbots design techniques. International Journal of Computer Applications, 181(8), 7-10. https://doi.org/10.5120/ijca2018917606
Alzahrani, L. (2023). Analyzing students’ attitudes and behavior toward artificial intelligence technologies in higher education. International Journal of Recent Technology and Engineering (IJRTE), 11(6), 65-73. https://doi.org/10.35940/ijrte.F7475.0311623
Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
Creswell,sJ.sW. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Nebraska: SAGE.
Evmenova, A. S., Regan, K., Mergen, R., & Hrisseh, R. (2024). Improving Writing Feedback for Struggling Writers: Generative AI to the Rescue. TechTrends, 68, 790–802. https://doi.org/10.1007/s11528-024-00965-y
Golinkoff, R. M., & Wilson, J. (2023). ChatGPT is a wake-up call to revamp how we teach writing. Available at https://www.inquirer.com/opinion/commentary/chatgpt-ban-ai-education-writing-critical-thinking-20230202.html
Guo, K., Wang, J., & Chu, S. K. W. (2022). Using Chatbots to Scaffold EFL Students’ Argumentative Writing. Assessing Writing, 54, 100666. https://doi.org/10.1016/j.asw.2022.100666
Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: writing better scientific review articles. American journal of cancer research, 13(4), 1148.
Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for Language Learning—Are They Really Useful? A Systematic Review of Chatbot-Supported Language Learning. Journal of Computer Assisted Learning, 38(1), 237-257. https://doi.org/10.1111/jcal.12610
Hutchison, A., Evmenova, A., Regan, K., & Gafurov, B. (2024). Click, see, do: Using digital scaffolding to support persuasive writing instruction for emerging bilingual learners. The Reading Teacher, 77(6), 810-824. https://doi.org/10.1002/trtr.2310
Kothari, C. R. (2004). Researchsmethodology:sMethodssandstechniques.sNewsYork:sNew Age International. NewsYork: NewsAgesInternational.
Lee, J. H., Yang, H., Shin, D., & Kim, H. (2020). Chatbots in EFL Classrooms. ELT Journal, 74(3), 338-344. https://doi.org/10.1093/elt/ccaa035
Ratih, M. C., & Kastuhandani, F. C. (2024). Students’ Lived Experiences in Utilizing Artificial Intelligence for Thesis Writing. NUSRA: Jurnal Penelitian dan Ilmu Pendidikan, 5(2), 760-769. https://doi.org/10.55681/nusra.v5i2.2696
Saeed, A. M., & Mahmoud, I. A. (2023). Students’ Attitudes toward Using Chatbot in EFL Learning. Arab World English Journal (AWEJ), 14(3), 15-27. https://doi.org/10.24093/awej/vol14no3.2
Schwenke, N., Söbke, H., & Kraft, E. (2023). Potentials and Challenges of Chatbot-Supported Thesis Writing: An Autoethnography. Trends in Higher Education, 2(4), 611-635. https://doi.org/10.3390/higheredu2040037
Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in Argumentative Writing Classrooms. Assessing Writing, 57, 100752. https://doi.org/10.1016/j.asw.2023.100752
Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning, 3(2), 258-262. https://doi.org/10.1515/jccall-2023-0008
Zhang, R., & Yu, J. (2023). Integrating supervisor feedback through chatbots: A study on PhD students. Higher Education Research & Development, 42(1), 103-

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