Analyzing the students' views, concerns, and perceived ethics about chat GPT usage
Open accessAbstract
Artificial Intelligence has greatly revolutionized education in many aspects. Today, AI-enabled language models, such as ChatGPT, are gaining popularity due to their characteristics and benefits. However, users also consider them a threat to educational integrity and purposes. This research examined ChatGPT usage among students in the United Arab Emirates (UAE), their views, concerns, and perceived ethics. The data was gathered from 388 students from two universities in Al Ain city using Yamane's formula. Findings showed that students consider ChatGPT a revolutionary technology that helps students in many ways. The gathered data showed that the effect of ChatGPT Usage remained significant on students' views. The path analysis also supported the second hypothesis, proposing the significant effect of ChatGPT on Students' Concerns. Finally, the findings also indicated the validation of the final hypothesis, showing the significant effect of ChatGPT Usage on the Perceived Ethics among the students in the UAE. Therefore, this study concluded that using ChatGPT in education has useful and concerning effects on educational integrity. However, implementing practical guidelines can assist in making informed decisions and shaping policies within educational institutions. Recognizing the complexities and importance of ChatGPT usage, teachers and policymakers can keep a balance by leveraging Artificial Intelligence technology to improve education while upholding ethical practices that pr…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The benefits of an AI-driven approach for students, educators, and the educational system at large are substantial.
“While adapting to this AI-driven approach presents certain challenges, the benefits for students, educators, and the educational system at large are substantial (for in-depth reviews, see Farhi et al., 2023;Fullan et al., 2023;Ottenbreit-Leftwich et al., 2023).”
From Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education (2024) · cites this paper as Farhi et al., 2023
Students recognized the potential for overreliance on ChatGPT, which could hinder the development of critical thinking, creativity, and independent learning skills.
“Students also recognized the potential for overreliance on ChatGPT, which could hinder the development of critical thinking, creativity, and independent learning skills (Chan and Hu 2023;Damiano et al. 2024;Farhi et al. 2023;Mahapatra 2024;Zhao et al. 2024).”
From Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study (2025) · cites this paper as Farhi et al. 2023
Cites
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326 · see citing works
Achieving integration in mixed methods designs-principles and practices
Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013) · Health Services Research · doi:10.1111/1475-6773.12117 · Cited by 5,772 · see citing works
Students' voices on generative ai: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · arXiv · doi:10.48550/arxiv.2305.00290 · Cited by 2,504 · see citing works
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301 · see citing works
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003 · see citing works
State of the art and practice in <scp>AI</scp> in education
Holmes, W., & Tuomi, I. (2022) · European Journal of Education · doi:10.1111/ejed.12533 · Cited by 1,093 · see citing works
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Qadir, J. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon54358.2023.10125121 · Cited by 707 · see citing works
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Qadir, J. (2022) · doi:10.36227/techrxiv.21789434.v1 · Cited by 264 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Walter, Y. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00448-3 · Cited by 1,113 · see citing works
“While adapting to this AI-driven approach presents certain challenges, the benefits for students, educators, and the educational system at large are substantial (for in-depth reviews, see Farhi et al., 2023; Fullan et al., 2023; Ottenbreit-Leftwich et al., 2023).”
Nelson, A. S., Santamaría, P. V., Javens, J. S., & Ricaurte, M. (2025) · Education Sciences · doi:10.3390/educsci15050611 · Cited by 79 · see citing works
Youssef, E., Medhat, M., Abdellatif, S., & Al Malek, M. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100316 · Cited by 65 · see citing works
Lyu, W., Zhang, S., Chung, T., Sun, Y., & Zhang, Y. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100383 · Cited by 68 · see citing works
Abdallah, N., Katmah, R., Khalaf, K., & Jelinek, H. F. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101866 · Cited by 55 · see citing works
The Development and Validation of an Artificial Intelligence Chatbot Dependence Scale
Zhang, X., Yin, M., Zhang, M., Li, Z., & Li, H. (2025) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2024.0240 · Cited by 52 · see citing works
Blahopoulou, J., & Ortiz-Bonnin, S. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13575-9 · Cited by 50 · see citing works
Shin, H., De Gagne, J. C., Kim, S. S., & Hong, M. (2024) · CIN: Computers, Informatics, Nursing · doi:10.1097/cin.0000000000001177 · Cited by 47 · see citing works
Kassenkhan, A. M., Moldagulova, A. N., & Serbin, V. V. (2025) · IEEE Access · doi:10.1109/access.2025.3576147 · Cited by 44 · see citing works
Writing with AI: What College Students Learned from Utilizing ChatGPT for a Writing Assignment
Wang, C., Aguilar, S. J., Bankard, J. S., Bui, E., & Nye, B. (2024) · Education Sciences · doi:10.3390/educsci14090976 · Cited by 49 · see citing works
“Farhi et al. [18] also conducted a quantitative study by administering surveys to 388 university students in the United Arab Emirates and found that ChatGPT usage significantly affected students’ views, concerns, and perceived ethics.”
Examining students' attitudes and intentions towards using <scp>ChatGPT</scp> in higher education
Haq, M. Z. U., Cao, G., & Abukhait, R. M. Y. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13582 · Cited by 26 · see citing works
Farinosi, M., & Melchior, C. (2025) · European Journal of Education · doi:10.1111/ejed.70094 · Cited by 23 · see citing works
Zhang, Y., & Reusch, P. (2025) · 2025 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon62633.2025.11016490 · Cited by 13 · see citing works
Ravi, M., Kaur, K., Wright, C., Bawn, M., & Cutillo, L. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00557-7 · Cited by 12 · see citing works
Acosta-Enriquez, B. G., Huamaní Jordan, O., Morales-Angaspilco, J. E., Campoverde Ventura, G., Ruiz Carrillo, J. A., Blanco- García, L. E., & Huaranga Rivera, L. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100829 · Cited by 11 · see citing works
Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study
Archambault, S. G., Murph, N. L., & Ramachandran, S. (2025) · Library Trends · doi:10.1353/lib.2025.a968491 · Cited by 5 · see citing works
Zhang, C., Zhu, S., Yang, X., Tseng, Y.-C., Jiang, S., & Rzeszotarski, J. M. (2025) · Proceedings of the 7th ACM Conference on Conversational User Interfaces · doi:10.1145/3719160.3736618 · Cited by 4 · see citing works
Academic Integrity and Students’ Ethical Use of ChatGPT in Higher Education
Shishakly, R., & Nachouki, M. (2026) · Journal of Information Technology Education: Research · doi:10.28945/5730 · Cited by 4 · see citing works
“Although ChatGPT can reduce instructional workload and foster pedagogical innovation (Cox, 2021), it also poses risks to academic integrity, responsible use, and algorithmic fairness (Farhi et al., 2023; Qadir, 2022; Welding, 2023).”
- Authors
- Farhi, F., Jeljeli, R., Aburezeq, I., Dweikat, F. F., Al-shami, S. A., & Slamene, R.
- Affiliations
- Al Ain University (AE)
- Hamdan Bin Mohammed Smart University (AE)
- King Abdulaziz University (SA)
- Corresponding author
- Farhi, Faycal
- Venue
- Computers and Education: Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 5
- Pages
- 100180
- ISSN
- 2666-920X (ISSN-L)
- OpenAlex
- W4388450624
- Cited by
- 252
- References
- 8
- Citations by year
- 2026: 52 · 2025: 123 · 2024: 77
- FWCI
- 59.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- ChatGPT, generative AI in education, student perceptions, student concerns, ethical perception, educational integrity, academic integrity, AI language models, AI policy in higher education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review