Approaches to the validation of quality frameworks for e-learning

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Inglis, Alistair (2008) Approaches to the validation of quality frameworks for e-learning. Quality Assurance in Education, 16 (4). pp. 347-362. ISSN 0968-4883

Abstract

Purpose – This paper aims to compare the ways in which a range of quality frameworks have been validated and to identify a number of factors that have an impact on validation processes. Design/methodology/approach – Seven examples of published quality frameworks applicable to the field of e-learning are described and the methods used to validate each of the frameworks are identified and compared. The article concludes by considering a range of factors that have the potential to have an impact on such validation processes. Findings – Six methods of validation were found to have been used in relation to development of the seven frameworks that were examined: reviewing the research literature related to effectiveness in online learning; seeking input from an expert panel; undertaking empirical research; undertaking survey research; conducting pilot projects; and drawing on case studies. From the variety of approaches used and the ways in which they were used it was concluded that a recognised set of procedures for validation of quality frameworks has not yet emerged. Research limitations/implications – The most important limitation of this study is that its findings are dependent on the particular quality frameworks selected for inclusion. Practical implications – The paper draws attention to the need for more attention to be paid to the development of methods of validation that are both objective and robust. Originality/value – No previous studies were located that have looked specifically at the processes used to validate quality frameworks. This paper therefore provides some initial baseline data upon which to base future work.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/3724
DOI 10.1108/09684880810906490
Official URL http://www.emeraldinsight.com/journals.htm?issn=09...
Subjects Current > Division/Research > VU College
Historical > FOR Classification > 1399 Other Education
Historical > SEO Classification > 970113 Expanding Knowledge in Education
Keywords ResPubID16400, quality, e-learning, modelling
Citations in Scopus 28 - View on Scopus
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