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Taxonomy Term : Quality

Quality assurance and accreditation in distance education and e-learning : models, policies and research

Authorship Details
Insung Jung (Ed.)
Colin Latchem (Ed.)
Publication Details
Resource Type: 
Book
Publication Date: 
2012
Publisher: 
Routledge
ISBN / ISSN: 
9780415887359
Call No: 
LC5803 A33Qua

Handbook on quality and standardisation in e-learning

Authorship Details
Ulf-Daniel Ehlers
Jan Martin Pawlowski
Publication Details
Resource Type: 
Book
Publication Date: 
2006
Publisher: 
Springer
Pagination: 
573
ISBN / ISSN: 
3540327878
Summary

For building a knowledge society, it is critically important to thoroughly understand quality and standards in e-learning. The handbook provides a cross-national perspective on these issues and draws a clear picture of the situation in quality development and standardization. It gives a concise overview on the field of quality research which can be used for teaching purposes and contains examples of quality and standards and practice.

The role of quality factors in intention to continue using an e-learning system in Malaysia

Authorship Details
T. Ramayah
Noor Hazlina Ahmada
May-Chiun Lo
Publication Details
Resource Type: 
Article
Publication Date: 
May 2010
Publication Title: 
Procedia - Social and Behavioral Sciences
Publisher: 
Elsevier
Volume: 
2
Issue or Number: 
2
Summary

With the advent of the Internet, more and more public universities in Malaysia are putting in effort to introduce e-learning in their respective universities. This entails a significant amount of investments and if the users do not use them the investment would not five benefit and would be deemed as a failure. Many previous researches have looked at continued usage as a measure of success in information system implementation. This research also follows in the same direction. Using a structured questionnaire derived from the literature, data was collected from 1616 undergraduate and post graduate students from public universities in Malaysia. The questionnaire consisted of 3 sections. The first section collected the demographic data, the second section elicited information about information quality, service quality and system quality, section three measured the continuance intention. Data was analyzed using multiple regression analysis. The results indicate that service quality (β = 0.382, p < 0.01), information quality (β = 0.338, p < 0.01) and system quality (β = 0.175, p < 0.01) were positively related to intention to continue usage explaining a total of 59.1% variance. A closer examination reveals that in terms of predictive power service quality had the biggest influence followed by information quality and then system quality. Implications from these findings to e-learning system developers and implementers are further elaborated. (Abstract by authors)


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