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Research Article

Students’ Assignments and Research Papers Generated by AI: Arab Instructors’ Views

Authors

  • Reima Al-Jarf King Saud University, Riyadh, Saudi Arabia

Abstract

This study explores Arab university faculty’s views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case.  Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all. They gave numerous reasons for their position. If students submit AI-generated assignments or research papers, they would ask them to re-write them. The study recommends raising students’ awareness of university policies regarding AI-generated content and introducing faculty and students to AI plagiarism detection tools. Faculty views and recommendations are reported in detail.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

6 (2)

Pages

92-98

Published

2024-05-25

How to Cite

Al-Jarf, R. (2024). Students’ Assignments and Research Papers Generated by AI: Arab Instructors’ Views. Journal of Computer Science and Technology Studies, 6(2), 92–98. https://doi.org/10.32996/jcsts.2024.6.2.11

References

Alasadi, E. & Baiz, C. (2023). Generative AI in education and research: Opportunities, concerns, and solutions. Journal of Chemical Education, 100(8), 2965-2971.

Al-Jarf, R. (2024). Translation of medical terms by AI: A comparative linguistic study of Microsoft Copilot and Google Translate. 1st International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation. Faculty of Sciences and Techniques, Nouakchott University. Nouakchott, Mauritania. April 23-25, 2024 Google Scholar

Al-Jarf, R. (2022a). Blogging about current global events in the EFL writing classroom: Effects on skill improvement, global awareness and attitudes. British Journal of Teacher Education and Pedagogy (BJTEP), 1(1), 73–82. DOI: 10.32996/bjtep.2022.1.1.8. ERIC ED618396. Google Scholar

Al-Jarf, R. (2022b). MA and Ph.D. thesis evaluation at Saudi universities: Problems and solutions. Eurasian Arabic Studies, 5(2), 88–106. DOI: 10.26907/2619-1261.2022.5.2.88-106. Google Scholar

Al-Jarf, R. (2019). Effects of electronic homework-assignments on Arabization skill development in student-translators. Journal for Research Scholars and Professionals of English Language Teaching (JRSP-ELT), 16(3). ERIC ED613087. Google Scholar

Al-Jarf, R. (2017). Exploring online collaborative translator training in an online discussion forum. Journal of Applied Linguistics and Language Research (JALLR), 4(4), 147-160. ERIC ED613072. Google Scholar

Al-Jarf, R. (2003a). Electronic searching skills of faculty, graduate students and library staff. Third Yearbook of the Center for Research, King Saud University, Riyadh. Pp 1-144. Google Scholar

Al-Jarf, R. (2003b). Training ESP College students in electronic searching. Multimedia-Assisted Language Learning. 6(1), 9-17. ERIC ED613067. Google Scholar

Al-Jarf, R. (2022). MA and Ph.D. thesis evaluation at Saudi universities: Problems and solutions. Eurasian Arabic Studies, 5(2), 88–106. DOI: 10.26907/2619-1261.2022.5.2.88-106. Google Scholar

Al-Jarf, R. (2021). An Investigation of Google’s English-Arabic Translation of Technical Terms. Eurasian Arabic Studies, 14, 16-37. Google Scholar

Al-Jarf, R. (2016). Issues in Translating English Technical Terms to Arabic by Google Translate. Third International Conference on Information and Communication Technologies for Education and Training (TICET 2016), pp. 17-31. Khartoum, Sudan, March 12-14. Google Scholar

Al-Jarf, R. (2008). Thesis evaluation challenges in saudi arabia as perceived by graduate students, advisors and examiners. Conference on Peer Reviewing. November 19-20, 2008. Imam University, Riyadh, Saudi Arabia. Google Scholar

Al-Jarf, R. (2003a). Electronic searching skills of faculty, graduate students and library staff. Third Yearbook of the Center for Research, King Saud University, Riyadh. Pp 1-144. Google Scholar

Al-Jarf, R. (2003b). Training ESP College students in electronic searching. Multimedia-Assisted Language Learning. 6(1), 9-17. ERIC ED613067. Google Scholar

Al-Jarf, R. (1991). Characteristics of Ph.D. Dissertations of Saudi Students Who Graduated from American Universities Between 1969-1985. Women's Center for University Studies Research Center Symposium, Riyadh, Saudi Arabia, Sep 23. ERIC ED634778. Google Scholar

Denny, P., Khosravi, H., Hellas, A., Leinonen, J., & Sarsa, S. (2023). Can we trust AI-generated educational content? comparative analysis of human and AI-generated learning resources. arXiv preprint arXiv:2306.10509.

Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63.

Malinka, K., Perešíni, M., Firc, A., Hujňák, O., & Januš, F. (2023). On the educational impact of ChatGPT: Is artificial intelligence ready to obtain a university degree? arXiv:2303.11146. DOI: 10.48550/ arXiv.2303.11146.

Menczer, F., Crandall, D., Ahn, Y. & Kapadia, A. (2023). Addressing the harms of AI-generated inauthentic content. Nature Machine Intelligence, 5(7), 679-680.

Parker, L., Carter, C., Karakas, A., Loper, A. & Sokkar, A. (2023). Ethics and improvement: Undergraduate students’ use of artificial intelligence in academic endeavors. International Journal of Intelligent Computing Research (IJICR), 13(2).

Paschal, M. & Melly, I. (2023). Ethical guidelines on the use of ai in education. In Creative AI Tools and Ethical Implications in Teaching and Learning (pp. 230-245). IGI Global.

Perkins, M., Roe, J., Postma, D., McGaughran, J. & Hickerson, D. (2024). Detection of GPT-4 generated text in higher education: Combining academic judgement and software to identify generative AI tool misuse. Journal of Academic Ethics, 22(1), 89-113.

Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L. & Simon. (2024). Instructor perceptions of ai code generation tools-A multi-institutional interview Study. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (pp. 1223-1229).

Tate, T., Doroudi, S., Ritchie, D., Xu, Y. & Warschauer, M. (2023). Educational research and AI-generated writing: Confronting the coming tsunami. EdArXiv.

Van der Meijden, H., Kirschner, P. & Kester, L. (2021). Ethical implications of using artificial intelligence in education. Educational Technology Research and Development, 69, 231-244. DOI: 10.1007/s11423-020-09915-5

Wang, Y., Pan, Y., Yan, M., Su, Z., & Luan, T. (2023). A survey on ChatGPT: AI-generated contents, challenges, and solutions. IEEE Open Journal of the Computer Society.

Willems, J. (2023). ChatGPT at universities – the least of our concerns. http://www.researchgate.net/profile/Jurgen-Willems/publication/367339894. DOI: 10.2139/ssrn.4334162

Wu, J., Gan, W., Chen, Z., Wan, S. & Lin, H. (2023). Ai-generated content (AIGC): A survey. arXiv preprint arXiv:2304.06632.

Xames, M. & Shefa, J. (2023). ChatGPT for research and publication: Opportunities and challenges. Journal of Applied Learning and Teaching, 6(1). Advance online publication. Doi: 10.37074/jalt.2023.6.1.

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Keywords:

Artificial Intelligence, AI-generated research, generative AI, college students’ research, AI Assistants, Chatbots, AI tools, university policies, instructor policies