Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities

Authors

  • Afrah Yahya AL Alrezami Mathematics Department, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia; Department of Statistics and Information, Faculty of Commerce end Economics, Sana’a University, Sana’a 1247, Yemen;

DOI:

https://doi.org/10.48161/qaj.v4n3a733

Abstract

The current research aims to use non-parametric tests to predict the benefits of switching to e-learning. Non-parametric tests (Chi-square goodness of fit, Chi-square independence and Kruskal Wallis) were used. For the empirical analysis, a questionnaire was used as a tool to collect data and distribute it in 8 Saudi public universities. The research questions included: What are the readiness students of switching to e-learning?  What are the most significance indicators of the positive and negative impact of switching to e-learning?  The findings indicated that (67.1%) of the students have a high the readiness. It  had been seen that the most significance of indicators related to the benefits of switching to e-learning are: (e-learning solves the problem of increasing the number of students, e-learning focuses more on knowledge, it reduces time, it is flexible, e-learning has succeeded in developing  programs, e-learning offers topics are well organized, it increases the sharing of experiences between students,  assessment methods are fair;  and it gives me enough time to think). The most significance indicators related to the challenges, are (e-learning prompted students not to underestimate the education, the professor can identify the negative student, the university provides a virtual library, I have get sufficient training , indirect communication does not affect the understanding , virtual laboratories have been activated,  there is no difficulty in submitting exams , the internet is strong in my area,  virtual classes are more effective,  e-learning helps in exchanging assignments, and the university provides technical support). The findings showed that the course content was the decisive factor of switching to e-learning. The findings can benefit for educators and policy makers for the effective implementation of e-learning in Saudi universities, through attention is paid to all indicators that have a negative impact. And adopting the positive indicators to encourage students to continue e-learning in the future.

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Published

2024-08-15

How to Cite

Yahya AL Alrezami, A. . (2024). Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities . Qubahan Academic Journal, 4(3), 67–81. https://doi.org/10.48161/qaj.v4n3a733

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