Determining the impact of e-learning and its applications on the academic performance of universities

Authors

  • Ali Abboud Qasim
  • Joumana Younis

DOI:

https://doi.org/10.31272/jae.i142.1024

Keywords:

e-learning, academic performance, information technology, strategic goals .

Abstract

         This study focused on the role of e-learning and its impact on academic performance, which has become the primary concern today in light of the face of the most severe health epidemic ravaging the Earth , which has claimed hundreds of thousands of people , namely the (COVID-19) epidemic . This study focuses on what the academic performance inputs provided for the e-learning outcomes represented by infrastructure , computer use skills , content , and independence using modern technology . The researcher used a set of statistical tools and methods represented by confirmatory factor analysis , the reliability coefficient , the arithmetic mean , and the standard deviation , in addition to several other measures that will be mentioned later in detail. The researcher sees the entire literature on the subject throughout our research. The sample included one of the most important Iraqi universities in Baghdad, which is Al-Mustansiriya University , where the researcher reviewed a set of conclusions to advance the academic reality in light of the available technology available to the student, professor, and administrative body. E-learning shortens the geographical spaces between the student and the professor. Students experience great discomfort due to the constant power outages during e-learning. Students are ready to learn the necessary skills required to succeed in e-learning. It has also been noted that the teaching staff at Al-Mustansiriya Friday is keen to continuously improve its performance. There is substandard attention from department heads to the proposals presented by faculty members related to the quality of educational performance. If this technology is exploited correctly and the strategic goals of the university reality are drawn , it will achieve a revolution in the reality of e-learning. It will save the difference in effort and time and will geographically shorten the time and distance to deliver the scientific method under certain supervision that will be established as a scientific basis for following up on the matter

Downloads

Download data is not yet available.

References

1. Berge , Z. L., & Muilenburg, L. Y. (2013). Handbook of Mobile Learning. New York & London: Routledge. DOI: https://doi.org/10.4324/9780203118764

2. Bersin, J. (2004). The blended learning book: Best practices, proven methodologies, and lessons learned. SanFrancisco, CA: John Wiley & Sons, Inc.

3. Cross, J. (2004). An informal history of eLearning. Emerald, 1-8. DOI: https://doi.org/10.1108/10748120410555340

4. Daniel, S. J. (2014). Open, Distance and Online Learning: A Brief History. International Conference onmerging Technologies in Education and Computer Science.

5. Dean, C., & Whitlock, Q. (1992). A handbook of computer-based training. Based Training. New York, NY:Nichols Publishing Company

6. Friesen, N. (2012). Defining Blended Learning.

7. Garrison, R., & Anderson, T. (2003). E-learning in the 21st Century: A Framework for Research and Practice. DOI: https://doi.org/10.4324/9780203166093

8. Hamari , J., Koivisto, J., & Sarsa , H. (2014). Does Gamification Work? — A Literature Review of Empirical Studies on Gamification. 47th Hawaii International Conference on System Science. Hawaii: IEEE Computer Society> DOI: https://doi.org/10.1109/HICSS.2014.377

9. Horton, W. K. (2001). Leading E-Learning. Alexandria, VA: ASTD.

10. Kovaleski, D. 2004. Blended learning in focus. Corporate Meetings & Incentives, 23: 35-36.

11. learning. Phoenix, USA. Retrieved April 24, 2007.

12. Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same? ScienceDirect, 1-4.

13. Sheridan, D., Gardner, L. & White, D. (2002). Cecil: The first web-based LMS. Proceedings of ASCILITEAuckland 2002.

14. Shimura, K. (2006). Computer-based learning and web-based training: A review forComputer-based learning and web-based training: A review for. 59-63.

15. Tai, L. (2008). Corporate E-Learning: An Inside View of IBMs Solutions. New York, NY: Oxford University .

Downloads

Published

2024-05-26

How to Cite

Determining the impact of e-learning and its applications on the academic performance of universities. (2024). Journal of Administration and Economics, 49(142), 1-18. https://doi.org/10.31272/jae.i142.1024

Similar Articles

1-10 of 97

You may also start an advanced similarity search for this article.