Factors determining e‐learning service quality

e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we...

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Veröffentlicht in:British journal of educational technology 2018-05, Vol.49 (3), p.412-426
Hauptverfasser: Uppal, Muhammad Amaad, Ali, Samnan, Gulliver, Stephen R.
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container_title British journal of educational technology
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creator Uppal, Muhammad Amaad
Ali, Samnan
Gulliver, Stephen R.
description e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e‐learning student experience, we must offer more than access to learning material. The research proposes an extended SERVQUAL model, the ELQ model, which in addition to key service constructs, facilitates consideration of both information and system quality factors. Exploratory Factor Analysis is conducted to investigate the reliability and validity of the measurement model, and multiple regression analysis is used to test the research model. Data analysis reveals that Assurance, Responsiveness, Tangibility, Course Website and Learning Content have a positive correlation with the perception of ELQ. e‐Learning students value a stable, and easy to use e‐learning environment, yet do not perceive empathy and reliability as significant to student perception of ELQ.
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source Education Source; Wiley Online Library Journals Frontfile Complete
subjects CAI
Computer assisted instruction
Correlation
Data analysis
Distance learning
Educational Environment
Educational Quality
Electronic Learning
Empathy
Factor Analysis
Learning
Measurement
Model testing
Multiple Regression Analysis
Online Courses
Perception
Quality
Quality Assurance
Regression models
Reliability
Reliability analysis
Reliability aspects
Student Attitudes
Student Experience
Validity
Web Sites
title Factors determining e‐learning service quality
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