LA INEVITABILIDAD DE LA ERA DE LA INTELIGENCIA ARTIFICIAL GENERATIVA: UN CASO DE EDUCACIÓN SAUDÍ
a case of Saudi education
DOI:
https://doi.org/10.23925/2179-3565.2025v16i3p13-25Palabras clave:
Artificial Intelligence, Generative Artificial Intelligence, GenAI Education, Saudi Arabia, UTAUT modelResumen
La Visión 2030 de Arabia Saudita promueve la integración de tecnologías avanzadas, en particular la Inteligencia Artificial (IA), en diversos sectores, incluida la educación. Esta investigación investiga el grado de familiaridad de los estudiantes de la Universidad Saudita con herramientas impulsadas por IA como ChatGPT, Grammarly y Github Copilot, y cómo emplean estas tecnologías para el apoyo académico, la investigación y la resolución de problemas. Además, analiza el impacto de las herramientas de inteligencia artificial en los resultados de aprendizaje y aborda cuestiones éticas relacionadas con su uso, incluido el plagio, la dependencia de la inteligencia artificial y la privacidad de los datos. Utilizando un cuestionario estructurado, dirigido a estudiantes de educación superior en universidades sauditas. Este estudio evalúa las brechas en el conocimiento de los estudiantes sobre la Inteligencia Artificial Genial y describe medidas para la integración ética y efectiva de estas herramientas en la educación superior. Los resultados indican que los estudiantes saudíes están muy comprometidos con las herramientas de Gen AI, tienen una actitud positiva hacia sus ventajas e insisten en instrucciones y políticas más claras de sus universidades con respecto a las preocupaciones éticas. Estos resultados sugieren la importancia de las herramientas de inteligencia artificial en la educación superior y la necesidad crucial de políticas éticas más claras.
Citas
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
Descargas
Publicado
Número
Sección
Licencia
This Journal is licensed under a Creative Commons Attribution-Non Commercial-No Derivers 4.0 International license.
1.The author (s) authorize the publication of the article in the journal;
2.The author (s) warrant that the contribution is original and unpublished and is not in the process of being evaluated in other journal (s);
3. The journal is not responsible for the opinions, ideas and concepts emitted in the texts, as they are the sole responsibility of its author (s);
4. The editors are entitled to make textual adjustments and to adapt the articles to the standards of publication.