Global Journal of Human Social Science, G: Linguistics and Education, Volume 25 Issue 3

ChatGPT in Moroccan Education Sector: Examining the Attitude of Student Acceptance and Usage Intent Global Journal of Human-Social Science ( G ) XXV Issue III Version I Year 2025 20 © 2025 Global Journals Based on the findings, which show the strong influence of perceived usefulness and credibility on students attitudes, this research suggest that educational institutions should highlight the educational benefits of ChatGPT. These efforts should focus on how ChatGPT can support learning activities like giving feedback and tutoring. By emphasizing these benefits, universities can help students develop a positive attitude towards using ChatGPT. Another finding of this study is that perceived academic integrity affects students attitudes toward using ChatGPT. Educational institutions should create strategies to showcase the ethical use of AI technologies. This can be done by developing clear guidelines to ensure that using ChatGPT supports, rather than harms, academic honesty which can lead to bad consequences such as dimiss of failing the subject. Universities should also encourage instructors to integrate ChatGPT into their teaching and provide them with the necessary training. Regular checking on the impact of ChatGPT on learning and collecting student feedback will be a gradual process in making improvements. The discussion group where students share experiences and ideas may also involve great contribution. These measures taken by universities would facilitate their positive attitudes as well as usage in an effective and ethical manner, thus enhancing total educational experiences. c) Limitations The number of students we studied was sufficient for doing our analysis, but the results were from only universities in morocco. This might make it harder to apply our findings to other groups, like students in high schools. Those students might have different opinions about using ChatGPT. If we also included high school students, we could learn more about what younger people think, those from the Alpha Generation. This could give us a better idea about how different generations use technology. So, including high school students in future studies could help us understand ChatGPT acceptance better across different ages and education levels. R eferences R éférences R eferencias 1. Nasir, A., & Javed, T. (2023). Enriching the Quality of Education Through Implementation of Generative Artificial Intelligence . 2. Qawqzeh, Y. (2024). Exploring the Influence of Student Interaction with ChatGPT on Critical Thinking, Problem Solving, and Creativity. International Journal of Information and Education Technology, 14(4). 3. Albayati, A. (2024). Understanding user experience and attitude towards ChatGPT. Journal of AI Research . 4. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. MIT Sloan School of Management . 5. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly , 27(3), 425-478. 6. Mahmud, I., Kabir, R., Rahman, M., & Mustafa, R. (2024). Influence of social norms on students' adoption of AI technologies in higher education. Journal of Educational Technology Systems . 7. Devlin, M., & Gray, R. (2023). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education. https://educationaltechnologyjou rnal.springeropen.com/articles/10.1186/s41239-023 -00348-0 8. Fabella, F.E.T. (2023). Attitudes toward the positive and negative features of Chat GPT by selected first- year college students. Journal of Educational Technology & Society . 9. Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring Teachers' Attitudes Towards Using ChatGPT. Journal of Educational Technology . 10. Sallam, M., Salim, N., Barakat, M., & Al-Mahzoum, K. (2023). Validation of a Technology Acceptance Model-Based Scale TAME-ChatGPT on Health Students Attitudes and Usage of ChatGPT in Jordan. Journal of Health Informatics . 11. Tian, T., Song, C., Ting, J., & Huang, H. (2022). A French-to-english machine translation model using Transformer Network. Procedia Computer Science , 199 , 1438–1443. https://doi.org/10.1016/j. procs.2022.01.182 12. Topuzovska Latkovikj, Marija & Borota Popovska, Mirjana. (2020). How Millennials, GEN Z, AND Technology are Changing the Workplace Design? 13. Choudhury, Avishek & Shamszare, Hamid. (2023). Investigating the Impact of User Trust on Adoption and Use of ChatGPT: A Survey Analysis. 10.2196/ preprints.47184. 14. Wu, Y. (2023). Integrating generative AI in education: how ChatGPT brings challenges for future learning and teaching. Journal of Advanced Research in Education . 15. Rasul, T., Nair, S., Kalendra, D., & Robin, M. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Research in Higher Education . 16. Božić, V., & Poola, I. (2023). Chat GPT and education. Preprint, ResearchGate . 17. Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and open-ai models: A preliminary review. Future Internet .

RkJQdWJsaXNoZXIy NTg4NDg=