Identifying the Network of Themes in a Comprehensive and Integrated Model in the Field of E-Learning
Keywords:
E-learning, e-learning, digital education modelAbstract
The purpose of this research is to identify the network of themes in a comprehensive and integrated model in the field of e-learning. E-learning is an advanced form of learning across computer networks in which the student uses electronic tools that enable interaction with peers and teachers. In this study, indices, components, and dimensions were identified exploratorily using expert opinions. Regarding the method of extracting these indices, it should be noted that this process was carried out by reviewing the existing theoretical foundations and implementing interview transcripts using Braun and Clarke’s thematic analysis method in ATLAS.ti software. In this regard, interviews were conducted up to the point of theoretical saturation with 19 experts in educational management. The interview texts were then analyzed through coding. The thematic analysis of identifying emerging technologies in the development of Takaful insurance, with an emphasis on artificial intelligence and blockchain, showed that 10 second-level constructive themes, 51 first-level themes, and 215 initial themes were identified. The main constructive themes include basic technological infrastructures, structured instructional design, targeted multimedia content, interactive learning environments, educational technical support, learning resource management, continuous monitoring and evaluation, learner behavior analysis, macro-level policymaking and governance, and human resource empowerment. This comprehensive and integrated model, which simultaneously and coherently addresses infrastructure, design, content, interaction, support, evaluation, analysis, policymaking, and human resources, can provide a strong foundation for education and learning in the digital age and create real transformation in the educational system.
Downloads
References
Alfarihat, D., Joy, M., Masadeh, R., & Sinclair. (2021). Evaluating E-learning systems success: An empirical study. Computers in human Behavior, 102, 67-86. https://doi.org/10.1016/j.chb.2019.08.004
Atwa, H., Shehata, M. H., Al-Ansari, A., Kumar, A., Jaradat, A., Ahmed, J., & Deifalla, A. (2022). Online, face-to-face, or blended learning? Faculty and medical students' perceptions during the COVID-19 pandemic: A mixed-method study. Frontiers in Medicine, 9, 1-12. https://doi.org/10.3389/fmed.2022.791352
Dlamini, R. N., & Howard, G. R. (2023). Teacher Training Management Guidelines for Improving Green IT Teaching Intention and Behavior SER - Proceedings of the Future Technologies Conference (FTC). 561. https://doi.org/10.1007/978-3-031-18344-7_53
Ebrahimi, S. (2022). The Role of Teachers' Digital Competencies, Willingness to Teach Online, and Students' Learning Difficulties in Predicting Online Teaching Behavior. Educational Sciences, 29, 105-126. https://education.scu.ac.ir/article_17963.html
Faridian, K., Rezaei, A., & MasrAbadi, J. (2021). The Effectiveness of Teaching Self-Regulation Strategies on E-Learning Readiness and Self-Regulated Learning in Learners Enrolled in Virtual Courses. Scientific Journal of Education and Evaluation, 14, 165-183. https://www.sid.ir/paper/997817/fa
Fazeli, Z., Vahedi, M., & Rahimi, Z. (2021). Active Teaching in E-Learning from the Perspective of Elementary School Teachers: Methods, Outcomes, and Challenges. Research in Education and Learning, 18, 87-100. https://tlr.shahed.ac.ir/article_3575.html
Fittipal, D. (2021). Managing the Dynamics of Group Projects in Higher Education: Best Practices Suggested by Empirical Research. Universal Journal of Educational Research, 8(5), 1778-1796. https://doi.org/10.13189/ujer.2020.080515
Garir, E. (2021). Needs assessment for the development of educational interventions to improve quality of education: A case of Zimbabwean primary schools. Social Sciences & Humanities Open, 2, 1-7. https://doi.org/10.1016/j.ssaho.2020.100020
Gokbulut, B., & Durnail, M. (2023). Professional skills training in developing digital materials through augmented and virtual reality applications. Online Version of Record before inclusion in an issue, 27. https://doi.org/10.1002/pits.22991
Gupta, S., Pandey, S., Sahoo, S., & Pandey, C. S. (2024). E-learning's influence on academic performance, learning outcomes and creativity. The International Journal of Information and Learning Technology, 41(3), 217-229. https://doi.org/10.1108/IJILT-07-2023-0117
Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., Daudzai, M., & Ulusi, H. (2024). Challenges and Opportunities of E-Learning for Women's Education in Developing Countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57-69. https://doi.org/10.59110/edutrend.310
Halkiopoulos, & Gkintoni. (2024). Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology - A systematic analysis. Electronics, 3762-3785. https://doi.org/10.3390/electronics13183762
Hizriansyah, H., Sirajunnasihin, S., & Qudsi, J. (2024). Self-directed e-learning-based mental health interventions to improve post-covid-19 pandemic health worker resilience and well-being. Science Midwifery, 12(4), 1646-1656. https://midwifery.iocspublisher.org/index.php/midwifery/article/view/1707
Ilić, M., Mikić, V., & Kopanja, L. (2023). Intelligent techniques in e-learning: a literature review. Artif Intell Rev, 14907-14953. https://doi.org/10.1007/s10462-023-10508-1
Mishra, L., Gupta, T., & Shree, A. (2021). Online Teaching-Learning in Higher Education during Lockdown Period of COVID-19 Pandemic. Journal of Educational Research Open, 1-25. https://doi.org/10.1016/j.ijedro.2020.100012
Montazer, A., & Darreh Sibbi, T. (2020). E-Learning: A Narrative of Technological Transformation in the Field of Education. Quarterly Scientific-Research Journal of Science and Technology Policy, 13, 15-36. https://jstp.nrisp.ac.ir/article_13779.html
Oulamine, A., El Gareh, F., Hattabou, & Elmenssouri, A. (2025). The evolution of e-learning and its challenges in higher education: A theoretical review. African Scientific Journal, 3(28), 174-196. http://africanscientificjournal.com
Pei-Chen, S., & Hsing Kenny, C. (2025). The design of instructional multimedia in e-learning: A media richness theory-based approach. http://i-learn.uitm.edu.my/resources/journal/j3.pdf. https://www.researchgate.net/publication/222414548
Qazi, M. A., Sharif, M. A., & Akhlaq, A. (2024). Barriers and facilitators to adoption of e-learning in higher education institutions of Pakistan during COVID-19: perspectives from an emerging economy. Journal of Science and Technology Policy Management, 15(1), 31-52. https://doi.org/10.1108/JSTPM-01-2022-0002
Reitano, R. (2020). Criteria for an eLearning platform. Quality in Blended Learning Conference. https://www.iict.bas.bg/pecr/2023/80/5-PECR-41-55.pdf
Rutkiene, A. (2023). Institutional Reform for Transformative Competencies: Teacher Training Transformations in Lithuania SER - Research, Policymaking, and Innovation. https://doi.org/10.1007/978-981-19-4349-2_8
Sarfarazi, M., Ansari, M. S., & Zamanian Zadeh, H. (2021). E-Learning and E-Teaching and Their Role in Improving the Quality of Higher Education. The 4th International Conference on Modern Management, Accounting, Economics, and Banking Strategies with a Business Growth Approach. https://civilica.com/l/11386/
Sofi-Karim, M., Bali, A. O., & Rached, K. (2023). Online education via media platforms and applications as an innovative teaching method. Educ Inf Technol, 507-523. https://doi.org/10.1007/s10639-022-11188-0
Tarkhan, R., & Mosatfavi, Z. (2021). Presenting a Conceptual Framework for Facilitating Interaction in E-Learning Environments Using the Meta-Synthesis Method. 15, 1-24. https://nea.ui.ac.ir/article_25741.html
Tsai, Y. S., Kovanović, V., & Gašević, D. (2021). Connecting the dots: an exploratory study on learning analytics adoption factors, experience, and priorities. Internet High Educ. https://www.sciencedirect.com/science/article/abs/pii/S1096751621000038
Volkova, E., & Hill, C. (2023). The Importance of Teacher Training and Development: A Case Study from Uzbekistan SER - Supporting and Learning from Academics. https://doi.org/10.1007/978-981-19-9040-3_9
Wang, D., Amril Jaharadak, A., & Xiao, Y. (2020). Dynamic knowledge inference based on bayesian network learning. Math Probl Eng, 1-9. https://doi.org/10.1155/2020/6613896
Wibawa, B., Siregar, J. S., Asrorie, D., & Syakdiyah, H. (2021). Learning analytic and educational data mining for learning science and technology. AIP Conference Proceedings, 2331, 1-7. https://doi.org/10.1063/5.0041844
Zagouras, C., Egarchou, D., & Skiniotis, P. (2022). Face to face or blended learning? A case study: Teacher training in the pedagogical use of ICT. Educ Inf Technol, 12939-12967. https://doi.org/10.1007/s10639-022-11144-y
Zare, M., Nili, M. R., Ali Abadi, K., Zarei Zavarki, E., & Asgari, M. (2024). The effectiveness of a blended e-learning design model on academic performance of Farhangian University students. Educational and Instructional Studies(40), 126-136. https://pma.cfu.ac.ir/article_3895.html?lang=en
Zarei, M., Shams, G., Rezaei Zadeh, M., & Ghahremani, M. (2020). Determinants of E-Learning Effectiveness: A Qualitative Study on Instructors. Quarterly Scientific Research Journal of Teaching Research, 2, 55-79. https://sid.ir/paper/402397/fa
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (ai) in education from 2010 to 2020. Complexity, 1-18. https://doi.org/10.1155/2021/8812542
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2025 نرگس کارگر بیده (نویسنده); حسین معین زاد; صفیه مهری نژاد (نویسنده)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
