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How Can We Predict and Evaluate E-Learning Service Quality ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shalash, Mostafa Ahmed |
| Copyright Year | 2017 |
| Abstract | The rapid development of internet has motivated the educational institutions to provide their services through this electronic channel. With technology revolution, the internet became a critical and an important channel for providing learning services. So, issue of e-learning quality became pivotal and all educational institutions must shift the focus from just providing e-learning to e-learning quality providing. It becomes obvious that providing e-learning quality is essential for surviving in the highly competitive learning environment. To evaluate any e-learning service quality provided by educational institutions, we need tools that can be used to measure e-learning service quality provided by such institutions. This paper will explore the use of multiple discriminant analysis in developing a model to alert educational institutions that provide poor elearning service quality. Results show that four variables (factors) are significant in the model development which is ease of use, security and privacy, reliability and responsiveness. So, the objectives of this article can be summarized as follows: developing a model to alert educational institutions that provide poor e-learning service quality (Q-Score Model); detecting which variables (factors) are the best predictors to discriminate between educational institutions that provide good e-learning services and institutions that are poor in providing such service; setting a cutoff point (cutoff value) to categorize the educational institutions according to the provided quality level of e-learning service (good or poor e-learning service quality). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.arcjournals.org/pdfs/ijmsr/v5-i3/2.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
