Page 103 - International Perspectives on Effective Teaching and Learning in Digital Education
P. 103

Digital Standard for the Design of Inclusive and Effective Online Courses in Higher Education

             adaptive guide rather than a rigid framework that needs to be constantly up-
             dated and validated through new research and technological developments.

             Conclusion
             This study shows how important it is to develop a new and contemporary
             standard for digital education. Through the interplay of pedagogical, tech-
             nological and assessment approaches, we can create a more flexible and in-
             clusive framework that not only improves the learning experience but also
             enhances institutional effectiveness. Digital education should be viewed as
             a living and evolving system that adapts to technological advances and the
             ever-changing needs of learners. Future research will need to focus on em-
             pirical research to test and refine the standard and ensure its relevance in
             different educational contexts. As digital learning continues to evolve, con-
             tinuous innovation and adaptation to new trends are key to maintaining its
             impact and accessibility. This holistic approach provides a solid foundation
             for improving the quality, inclusivity and long-term sustainability of digital
             education in higher education.


                  References
                  Agariya, A. K., & Singh, D. (1). E-learning quality: Scale development and
                      validation in Indian context. Knowledge Management and E-Learning: An
                      International Journal, 4(4), 5–517.
                  Akgun, S., & Greenhow, C. (). Artificial intelligence in education: Addressing
                      ethical challenges in K-1 settings. Ai and Ethics, 2(3), 431–44.
                  Ali, W. G. M. (16). Nursing students readiness for e-learning experience. Gyne-
                      col Obstet, 6(6), 1388.
                  Almasri, F. (4). Exploring the impact of artificial intelligence in teaching and
                      learning of science: A systematic review of empirical research. Research in
                      Science Education, 54(5), 977–997.
                  Blankenship, R. J., & Baker, C. (19). Cases on digital learning and teaching trans-
                      formations in higher education. IGI Global.
                  Bregar, L., & Puhek, M. (17). Analiza stanja na področju digitalizacije in e–izo-
                      braževanja v visokem šolstvu v Sloveniji. Fakulteta DOBA.
                  Campbell, K., Taylor, V., & Douglas, S. (19). Effectiveness of online cancer educa-
                      tion for nurses and allied health professionals: A systematic review using
                      Kirkpatrick Evaluation framework. Journal of Cancer Education: The Official
                      Journal of the American Association for Cancer Education, 34(), 339–356.
                  Choi-Lundberg, D. L., Butler-Henderson, K., Harman, K., & Crawford, J. (3).
                      A systematic review of digital innovations in technology-enhanced





                                                                            13
   98   99   100   101   102   103   104   105   106   107   108