The Role of an E-Learning Environment Based on Generative AI in Enhancing Digital Learning Capabilities among Undergraduate Students: A Qualitative Study
DOI:
https://doi.org/10.59992/IJESA.2025.v4n8p7Keywords:
E-Learning Environment, Generative Artificial Intelligence, Digital Learning Capabilities, Qualitative Phenomenological ApproachAbstract
This Qualitative Study, Adopting A Phenomenological Approach, Investigates the Experiences and Perceptions of Undergraduate Digital Media Students at the University of Jeddah Regarding An E-Learning Environment Based on Generative Artificial Intelligence (GenAI) During Their Study of the “Digital Culture” Course, and Explores Its Roles in Developing the Cognitive and Performance Dimensions of Their Digital Learning Capabilities. Data Were Collected Through (12) Semi-Structured Individual Interviews and Analyzed in Depth Following a Thematic Analysis Approach. The Findings Revealed Three Main Categories: (1) Innovative Learning Experience Which Included Sub-Themes Such As Students’ Perceptions Of The Model and Active Engagement With Its Components; (2) Dimensions of Digital Learning Capabilities, Which Showed Notable improved Across Six Sub-Dimensions: Digital Productivity, Information Literacy, Creative Digital Production And Problem-Solving, Digital Interaction And Collaboration, Self-Directed Learning, and Responsible Digital Practices Including Identity and Well-Being; (3) Students’ Perspectives on Sustaining the Use of This Environment, Which Encompassed Sustainability Requirements and Technical Challenges. The Study Demonstrated Generative AI-Supported Learning Environments and Represent a Promising Educational Tool for Reshaping University Teaching and Learning Practices, If Implemented Within a Well-Informed Pedagogical Vision and Guided by Clear Regulatory and Ethical Frameworks. Research Recommends Integrating Generative AI Models into University Curricula, In Addition to Providing Specialized Training Programs, and Enhancing the Technological Infrastructure to Ensure Their Sustained Educational Impact.
References
• برنامج تنمية القدرات البشرية. (2021). الوثيقة الإعلامية لبرنامج تنمية القدرات البشرية 2021–2025.رؤية السعودية 2030.
https://www.vision2030.gov.sa/media/vp4j15ya/hcdp-delivery-plan_ar.pdf
• حامد، محمد عبدالمقصود. (2022). تطوير بيئة مناقشة إلكترونية قائمة على الذكاء الاصطناعي التوليدي وأثرها في تنمية مستويات الفهم العميق ومهارات حل المشكلات لدى طلاب الدراسات العليا بكلية التربية. مجلة العلوم التربوية والإنسانية، (10)،129-177.
https://doi.org/10.33193/JEAHS.36.2024.512
• سدايا. (2023) الذكاء الاصطناعي التوليدي: (سلسلة الذكاء الاصطناعي التوليدي 1). الهيئة السعودية للبيانات والذكاء الاصطناعي سدايا.
https://sdaia.gov.sa/ar/MediaCenter/KnowledgeCenter/ResearchLibrary/Generative-AI.pdf
• سدايا. (2025) الذكاء الاصطناعي التوليدي: آفاق واعدة لمستقبل أفضل. الهيئة السعودية للبيانات والذكاء الاصطناعي.
https://sdaia.gov.sa/ar/MediaCenter/KnowledgeCenter/ResearchLibrary/GenerativeAI.pdf
• المركز الوطني للتعليم الإلكتروني. (2024) ضوابط وإرشادات استخدام أدوات وتطبيقات الذكاء الاصطناعي التوليدي في التعليم الرقمي. https://nelc.gov.sa/node/3050
• Aghaee, N., Vrågård, J., & Brorsson, F. (2024). Generative AI in Higher Education: Educators’ Perspectives on Academic Learning and Integrity. European Conference on E-Learning, 23(1), 406–414. https://doi.org/10.34190/ecel.23.1.3090.
• Aktar, S. F. (2023). Artificial Intelligence-Based Smarter Accessibility Evaluations for Comprehensive and Personalized Assessment. Marquette University.
• Bandi, A., Adapa, P. V. S. R., & Kuchi, Y. E. V. P. K. (2023). The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges. Future Internet, 15(8), 260.
• Banh, L., & Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(1). https://doi.org/10.1007/s12525-023-00680-1.
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.
• Bryman, A. (2016). Social research methods. Oxford: Oxford University Press.
• Bura, C. (2025). Generative AI in Learning: Empowering the Next Generation of Education. https://doi.org/10.20944/preprints202501.1986.v1.
• Chiu, T. K. F. (2024). Future research recommendations for transforming higher education with generative AI. Computers & Education: Artificial Intelligence, 6, 100197–100197. https://doi.org/10.1016/j.caeai.2023.100197.
• Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. SAGE Publications.
• Dhagare, R. P. (2024). Generative AI and Education: A Symbiotic Relationship. International Journal for Science Technology and Engineering, 12(11), 1042–1045. https://doi.org/10.22214/ijraset.2024.65279.
• Epstein, Z., Hertzmann, A., Herman, L., Mahari, R., Frank, M., Groh, M., Schroeder, H., Smith, A., Akten, M., Fjeld, J., Farid, H., Leach, N., Pentland, A., & Russakovsky, O. (2023). Art and the science of generative AI. Science, 380, 1110 - 1111.
https://doi.org/10.1126/science.adh4451.
• Felix, J. A., & Webb, L. (2024). Use of artificial intelligence in education delivery and assessment. https://doi.org/10.58248/pn712.
• Ferreira, T. M. (2024). A New Educational Reality: Active Methodologies Empowered by Generative AI. https://doi.org/10.20944/preprints202408.1933.v1.
• Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative ai. Business & Information Systems Engineering, 66(1), 111-126.
• Gerlich, M. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006.
• Gervacio, A. P. (2024). Exploring how generative AI contributes to the motivated engagement and learning production of science-oriented students. Environment & Social Psychology, 9(11). https://doi.org/10.59429/esp.v9i11.3194.
• Geum, J., Choi, Y. H., & Lim, Y. (2024). Exploring the Impact of a Generative AI Program on Digital Citizenship in Middle School Technology Education. Han’gug Gi’sul Gyoyug Haghoeji. https://doi.org/10.34138/kjte.2024.24.1.23.
• Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., ... & Rienties, B. (2025). The promise and challenges of generative AI in education. Behaviour & Information Technology, 44(11), 2518-2544.
• Gray, D. E. (2014). Doing research in the real world (3rd ed.). London: SAGE Publications.
• Guba, E., & Lincoln, Y. (1994). "Do inquiry paradigms imply methodologies?" In D. Fetterman, Qualitative approaches to evaluation in education (pp. 89-115). New York: Praeger.
• Hauske, S., & Bendel, O. (2024). How can GenAI foster well-being in self-regulated learning? In Proceedings of the AAAI Symposium Series. 354–361.
• Krause, S., Dalvi, A., & Zaidi, S. K. (2025). Generative AI in Education: Student Skills and Lecturer Roles. arXiv preprint arXiv:2504.19673.
• Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790.
• Lodge, J. M., de Barba, P., & Broadbent, J. (2024). Learning with Generative Artificial Intelligence within a Network of Co-Regulation. Journal of University Teaching and Learning Practice, 20(7). https://doi.org/10.53761/m2v9an32.
• Mannuru, N. R., Shahriar, S., Teel, Z. A., Wang, T., Lund, B. D., Tijani, S., ... & Vaidya, P. (2023). Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development. Information Development, 02666669231200628.
• Meli, K., Taouki, J., & Pantazatos, D. (2024). Empowering educators with generative ai: The genai education frontier initiative. In EDULEARN24 Proceedings (pp. 4289-4299). IATED.
• Monzon, N. (2024). Leveraging Generative AI to Improve Motivation and Retrieval in Higher Education Learners (Preprint). https://doi.org/10.2196/preprints.59210.
• Moser, A., & Korstjens, I. (2018). Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. European journal of general practice, 24(1), 9-18.
• Nakavachara, V., Potipiti, T., & Chaiwat, T. (2024). Experimenting with Generative AI: Does ChatGPT Really Increase Everyone's Productivity? arXiv preprint arXiv:2403.01770.
• Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847.
• Ooi, K. B., Tan, G. W. H., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., ... & Wong, L. W. (2023). The potential of generative artificial intelligence across disciplines: Perspectives and future directions. Journal of Computer Information Systems, 1-32.
• Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix. Sustainability, 15(15), 11524.
• Sai, S., Gaur, A., Sai, R., Chamola, V., Guizani, M., & Rodrigues, J. (2024). Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations. IEEE Access, 12, 31078-31106.
https://doi.org/10.1109/ACCESS.2024.3367715.
• Sarantakos, S. (2012). Social research. New York: Macmillan International Higher Education.
• Sardi, J., Candra, O., Yuliana, D. F., Yanto, D. T. P., & Eliza, F. (2025). How Generative AI Influences Students' Self-Regulated Learning and Critical Thinking Skills? A Systematic Review. International Journal of Engineering Pedagogy, 15(1).
• Shin, B., Ryu, K. M., Kim, K. Y., Kang, S.-M., & Joo, J. (2024). A study on exploring strategies for developing digital literacy using generative AI: Focusing on the development of mathematics teaching and learning materials based on ChatGPT. 27(2), 151–176. https://doi.org/10.30807/ksms.2024.27.2.003.
• Silverman, D. (2013). Doing qualitative research: A practical handbook. London: Sage Publications.
• Singh, Y., Singh, D. P., Chander, N., Singh, Y. P., & Singh, P. R. (2024). Generative AI for Enhancing Education and Skill Development. International Journal of Innovative Science and Research Technology, 883–888. https://doi.org/10.38124/ijisrt/ijisrt24nov431.
• Smith, J. A., & Osborn, M. (2015). Interpretative phenomenological analysis as a useful methodology for research on the lived experience of pain. British Journal of Pain, 9(1), 41–42. https://doi.org/10.1177/2049463714541642.
• Stefaniak, J., & Moore, S. (2024). The Use of Generative AI to Support Inclusivity and Design Deliberation for Online Instruction. Online Learning.
https://doi.org/10.24059/olj.v28i3.4458.
• Terwiesch, C. (2023). Would chat GPT3 get a Wharton MBA. A Prediction Based on Its Performance in the Operations Management Course.
• Türker, P. M., & Öztürk, M. (2024). Generative Artificial Intelligence and the 4C Learning Skills for the 21st Century. Advances in Educational Technologies and Instructional Design Book Series, 285–320. https://doi.org/10.4018/979-8-3693-7220-3.ch011.
• UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000389351.
• Wang, T. (2023). Navigating Generative AI (ChatGPT) in Higher Education: Opportunities and Challenges (pp. 215–225). Springer Nature. https://doi.org/10.1007/978-981-99-5961-7_28.
• Zábojník, R., & Hromada, V. (2024). The Role of Generative AI in Empowering Generation Z in Higher Education. Deleted Journal, 758–776. https://doi.org/10.34135/mmidentity-2024-75.
