An inevitability of generative artificial intelligence era

a case of Saudi education

Authors

  • A. K. Alghamdi King Abdulaziz University
  • D. A. Hasan King Abdulaziz University
  • S. A. Nassif King Abdulaziz University
  • M. A. Abdullah King Abdulaziz University

DOI:

https://doi.org/10.23925/2179-3565.2025v16i3p13-25

Keywords:

Artificial Intelligence, Generative Artificial Intelligence, GenAI Education, Saudi Arabia, UTAUT model

Abstract

Saudi Arabia’s Vision 2030 promotes the integration of advanced technologies, particularly artificial intelligence (AI), across various sectors, including education. This research investigates the extent of Saudi university students’ familiarity with Gen AI tools such as ChatGPT, Grammarly, and GitHub Copilot and how they employ these technologies for academic support, research, and problem-solving. Additionally, it analyzes the impact of Gen AI tools on learning outcomes and addresses ethical issues related to their use, including plagiarism, dependence on AI, and data privacy. Using a structured questionnaire, targeting students in higher education at Saudi Universities. This study evaluates gaps in students’ awareness of Gen AI and outlines measures for the ethical and effective integration of these tools in higher education. Findings indicates that Saudi students are highly engaged with Gen AI tools, with positive attitude towards its advantages and insisting for more clear instructions and policies by their universities regarding ethical concerns. These results suggest the Importance of Gen AI tools in higher education and the crucial need for clearer ethical policies.

Author Biographies

A. K. Alghamdi, King Abdulaziz University

Department of Information Systems

D. A. Hasan, King Abdulaziz University

Department of Information Systems

S. A. Nassif, King Abdulaziz University

Department of Information Systems

M. A. Abdullah, King Abdulaziz University

Department of Information Systems

References

Ahmed, T., & Malik, S. (2024). Future research recommendations for transforming higher education with generative AI. International Journal of Educational Development, 22(3), 211–226. https://doi.org/10.1016/ijed.2024.0048

Aldossary, A. S., Aljindi, A. A., & Alamri, J. M. (2024). The role of generative AI in education: Perceptions of Saudi students. Contemporary Educational Technology, 16(4). https://doi.org/10.30935/cedtech/15496

Alghamdi, H., & Alabasi, D. (2022). The reality of applying artificial intelligence applications in enriching programs for talented students in Yanbu and Jeddah schools from the viewpoint of students and enriching program instructors. International Journal of Research and Studies Publishing, 3(28), 591–633. https://doi.org/10.52133/ijrsp.v3.28.18

Almassaad, A., Alajlan, H., & Alebaikan, R. (2024). Student perceptions of generative artificial intelligence: Investigating utilization, benefits, and challenges in higher education. Systems, 12(10). https://doi.org/10.3390/systems12100385

Al-Smadi, M. (2023). ChatGPT and beyond: The generative AI revolution in education. Qatar University.

Al-Zahrani, A. M. (2024). The impact of generative AI tools on researchers and research: Implications for academia in higher education. Innovations in Education and Teaching International, 61(5), 1029–1043. https://doi.org/10.1080/14703297.2023.2271445

Brown, A., Williams, K., & Chen, L. (2024). Revolutionizing undergraduate learning: CourseGPT and its generative AI advancements. arXiv. https://doi.org/10.48550/arXiv.2403.06789

Budianto, H. (2023). The penetration of generative AI in higher education: A survey. International Journal of AI in Education, 21(4), 302–317. https://doi.org/10.1007/ijaiedu.2023.0045

Chiu, T. K. F., 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

Coman, C., Tiru, L. G., & Mesesan-Schmitz, L. (2023). Exploring generative AI tools frequency: Impacts on attitude, satisfaction, and competency in achieving higher education learning goals. Romanian Journal of Educational Research, 9(1), 67–80. https://doi.org/10.2478/rjer-2023-0005

Eriksson, M. (2023). Generative AI and teachers—For us or against us? A case study. Swedish Journal of Higher Education, 7(2), 134–150. https://doi.org/10.1080/sjhe.2023.0123

Goh, A., Lim, S., & Tan, J. (2024). Battling botpoop using GenAI for higher education: A study of a retrieval-augmented generation chatbot's impact on learning. International Journal of Educational Technology, 15(1), 98–112. https://doi.org/10.1016/ijet.2024.0015

Gupta, R., Singh, A., & Patel, V. (2024). Education 5.0: Transforming engineering education in the age of generative AI. Engineering Education Review, 10(4), 210–225. https://doi.org/10.1080/engr.2024.0043

Martínez, L., & Lopez, R. (2024). Integrating generative AI techniques and applications in student behavior and cognitive achievement: A theoretical perspective. Journal of Educational Theory and Practice, 8(4), 250–265. https://doi.org/10.1016/jetp.2024.0034

Meletiadou, E. (2025). The Effective Use of Generative AI in Higher Education Exploring Lecturers' Artificial Intelligence Literacy: Unveiling Sustainable and Ethical AI-Powered Practices for Learning, Teaching, and Assessment. In Generative AI Approaches to Sustainable Development in Higher Education (pp. 1-22). IGI Global Scientific Publishing. https://www.igi-global.com/chapter/the-effective-use-of-generative-ai-in-higher-education-exploring-lecturers-artificial-intelligence-literacy/379455

Oliver W. (n.d.) Innovation Oasis: The Generative AI Landscape in Saudi Arabia. SDAIA. Retrieved July 2, 2025, from https://sdaia.gov.sa/en/MediaCenter/KnowledgeCenter/ResearchLibrary/Innovation-Oasis-0909.pdf

Saudi Data and AI Authority. (2023). Generative AI Public. https://sdaia.gov.sa/en/SDAIA/about/Files/GenerativeAIPublicEN.pdf

Saudi Data and AI Authority. (2024). AI Tools Adoption in Education Survey 2024. https://sdaia.gov.sa/en/SDAIA/about/Files/GenerativeAIPublicEN.pdf

Saudi Vision 2030. (2016). Kingdom of Saudi Arabia. https://vision2030.gov.sa/en

SDAIA & Ministry of Education. (2025). Generative Artificial Intelligence guide 2025 [Guide]. https://www.moe.gov.sa/ar/mediacenter/MOEnews/DocLib/Artificial_Intelligence_Guide.pdf

Smith, A., & Johnson, R. (2024). Generative AI perceptions: A survey to measure the perceptions of faculty, staff, and students on generative AI tools in academia. Journal of Higher Education Research, 14(1), 56–72. https://doi.org/10.1080/jher.2024.0098

Ustun, A. B., Yilmaz, R., & Karaoglan Yilmaz, F. G. (2020). Virtual reality in medical education. In Virtual, augmented reality and serious games for healthcare (pp. 9-27). Springer. https://doi.org/10.4018/978-1-7998-2521-0.ch004

Zlotnikova, I., Hlomani, H., Mokgetse, T., & Bagai, K. (2025). Establishing ethical standards for GenAI in university education: a roadmap for academic integrity and fairness. Journal of Information, Communication and Ethics in Society, 23:188-216. https://doi.org/10.1108/JICES-07-2024-0104

Published

2025-10-22