The Digital Revolution in Higher Education: Transforming Teaching and Learning

  • Khalid Ilias Basheer Qolamani University of Zakho, Zahko, Kurdistan Region
  • Mohammad Mahdi Mohammed University of Zakho, Zahko, Kurdistan Region
Keywords: Digital Revolution; Learnig; Teaching

Abstract

Digital transformation in higher education has greatly disrupted conventional teaching and learning models. This review traces the evolution of educational technology over the past few decades. It analyzes how tools such as learning management systems, data analytics, online learning, and artificial intelligence impact pedagogy, student experience, educator roles, and institutional learning. The great potential of technology to enhance learning is also discussed, along with the ongoing challenges of justice, ethics, and human relations in its application. Current and emerging technologies are examined, with their implications for key stakeholders. This study uses a multi-faceted methodology to investigate digital transformation in higher education: Historical Analysis, Technology Review Case Studies, Stakeholder Surveys, and Ethical and Social Implications. Predictive modeling and trend analysis are performed to project higher education's future digital transformation trajectory. This includes analysis of new technologies, potential disruptions, and the evolving needs of the education sector. The review brings together insights from academic literature, industry publications, and the digital transformation of higher education over the past few decades, which has been widespread and measurable.  Early adopters of technologies such as analytics, AI, and immersive media will be best positioned to improve the student experience in the future. However, carefully applying and considering students' needs and equality is essential to avoid marginalized groups.

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References

Aceves-de-Leon, M. (2020). The digital gap in the age of data capitalism. Television & New Media, 22(2), 137–143.
Aguilar, S. J. (2018). Learning analytics: At the nexus of big data, digital innovation, and social justice in education. TechTrends, 62(1), 37–45.
Arnold, K. E. (2010). Signals: Applying academic analytics. Educause Quarterly, 33(1).
Bower, M., Lee, M. J., & Dalgarno, B. (2017). Collaborative learning across physical and virtual worlds: Factors supporting and constraining learners in a blended reality environment. British Journal of Educational Technology, 48(2), 407–430.
Brown, J. S., & Adler, R. P. (2008). Minds on fire: Open education, the Long Tail, and learning 2.0. Educause Review, 43(1), 16–20.
Caldwell, J. E. (2007). Clickers in the large classroom: Current research and best-practice tips. CBE—Life Sciences Education, 6(1), 9–20.
Chen, B., Knight, S., Wise, A., & Cheng, J. (2018). Critical issues in designing and implementing temporal analytics. Journal of Computing in Higher Education, 30(1), 27–47.
Dahlstrom, E., Christopher Brooks, D., & Bichsel, J. (2014). The Current Ecosystem of Learning Management Systems in Higher Education: Student, Faculty, and IT Perspectives.
Drachsler, H., & Greller, W. (2016). Privacy and analytics - it’s a DELICATE issue, a checklist for trusted learning analytics. ACM International Conference Proceeding Series, 25-29-Apri, 89–98. https://doi.org/10.1145/2883851.2883893
Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. Internet and Higher Education, 18, 4–14. https://doi.org/10.1016/j.iheduc.2012.09.003
Hiltz, S. R., & Turoff, M. (2005). Education goes digital: The evolution of online learning and the revolution in higher education. Communications of the ACM, 48(10), 59–64. https://doi.org/10.1145/1089107.1089139
Ifenthaler, D., & Schumacher, C. (2019). Releasing the brake on data analytics in education. TechTrends, 63(1), 27–31.
Jaggars, S. S., & Xu, D. (2016). How do online course design features influence student performance? Computers and Education, 95, 270–284. https://doi.org/10.1016/j.compedu.2016.01.014
Janca, R. (2013). Linking quality and governance in higher education. Perspectives: Policy and Practice in Higher Education, 17(1), 2–6.
Johnson, L., et al. (2016). NMC Horizon Report: 2016 Higher Education Edition. In The New Media Consortium (higher edu, Issue 15018). http://www.nmc.org/publications/2014-horizon-report-higher-ed
Kamenetz, A. (2016). How One University Used Big Data To Boost Graduation Rates. National Public Radio, 35(12), 30–37. https://doi.org/https://www.npr.org/sections/ed/2016/10/30/499200614/how-one-university-used-big-data-to-boost-graduation-rates
Long, P., & Siemens, G. (2011). Penetrating the Fog: Analytics in Learning and Education. EDUCAUSE Review, 46(5), 30–32. http://search.proquest.com.proxy.library.vanderbilt.edu/docview/964183308/13AF5BC47C138E29FF2/5?accountid=14816%5Cnhttps://login.proxy.library.vanderbilt.edu/login?url=http://search.proquest.com/docview/964183308/13AF5BC47C138E29FF2/5?accountid=14816
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An argument for AI in education. In Pearson Education. Pearson. https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/about-pearson/innovation/Intelligence-Unleashed-Publication.pdf
Nilson, L. B., & Goodson, L. A. (2021). Online Teaching at Its Best: Merging Instructional Design with Teaching and Learning Research. In Journal of Development Research (Vol. 13, Issue 4). John Wiley & Sons. https://doi.org/10.54366/jdr.13.4.2020.62-64
Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Journal of Asynchronous Learning Network, 16(3), 9–20. https://doi.org/10.24059/olj.v16i3.267
Prinsloo, P., & Slade, S. (2017). An elephant in the learning analytics room - The obligation to act. In ACM International Conference Proceeding Series. https://doi.org/10.1145/3027385.3027406
Roberts-Mahoney, H., Means, A. J., & Garrison, M. J. (2016). Netflixing human capital development: personalized learning technology and the corporatization of K-12 education. Journal of Education Policy, 31(4), 405–420. https://doi.org/10.1080/02680939.2015.1132774
Roehl, A., Reddy, S. L., & Shannon, G. J. (2013). The Flipped Classroom: An Opportunity To Engage Millennial Students Through Active Learning Strategies. Journal of Family & Consumer Sciences, 105(2), 44–49. https://doi.org/10.14307/jfcs105.2.12
Seaman, et al. (2018). Grade increase: Tracking distance education in the United States. Babson Park, MA: Babson Survey Research Group. In Babson Survey Research Group. Babson Survey Research Group. https://eric.ed.gov/?id=ED580852%0Awww.favazza.com
Siemens, G. (2013). Learning analytics: The emergence of a discipline. In New Ways to Teach and Learn in China and Finland: Crossing Boundaries with Technology (Vol. 57, Issue 10). American Behavioral Scientist. https://doi.org/10.1177/0002764213498851
Slade, S., & Prinsloo, P. (2013). Learning Analytics: Ethical Issues and Dilemmas. American Behavioral Scientist, 57(10), 1510–1529. https://doi.org/10.1177/0002764213479366
Taneja, S. (2014). DreamBox: An adaptive, personalized learning platform for early math education. Forbes, October, 20. https://doi.org/https://www.forbes.com/sites/sungardas/2014/10/20/dreambox-adaptive-personalized-learning-platform-early-math-education/
West, D., Huijser, H., & Heath, D. (2016). Putting an ethical lens on learning analytics. Educational Technology Research and Development, 64(5), 903–922. https://doi.org/10.1007/s11423-016-9464-3
Willis, J. E., Campbell, J. P., & Pistilli, M. D. (2013). Ethics, Big Data, and Analytics : A Model for Application. EDUCAUSE Review Online, 1.
Published
2023-10-06
How to Cite
Qolamani, K., & Mohammed, M. M. (2023). The Digital Revolution in Higher Education: Transforming Teaching and Learning. QALAMUNA: Jurnal Pendidikan, Sosial, Dan Agama, 15(2), 837-846. https://doi.org/10.37680/qalamuna.v15i2.3905
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