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Article
Publication date: 5 September 2016

Helen Dimou and Achilles Kameas

This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software…

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Abstract

Purpose

This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom’s taxonomy of learning objectives and two instructional design models: Kolb’s model (the learning cycle) and Gagne, Briggs and Wager’s model.

Design/methodology/approach

The structure of this paper is as follows: in the second section, the theory of “the learning cycle of Kolb” is discussed. The third section discusses the model of Gagne, Biggs & Wager. The fourth section discusses and categorizes the characteristics and sub-characteristics of the quality of digital educational material. The fifth section discusses and categorizes the quality attributes of digital educational material. Moreover, the correlation of the sub-characteristics of the material with the model of Gagne and that of Kolb are examined.

Findings

The authors developed a quality model that adopts the structure of ISO/IEC 9126 standard, using basic notions of theories of adult education to define its characteristics and sub-characteristics. The model has been successfully applied in the quality evaluation of educational material distributed to distance learning adult students.

Originality/value

The innovative combination of an established quality model with sound educational theories yields a comprehensive model that allows both a qualitative and quantitative evaluation of the appropriateness of digital educational material. The applicability of the model is demonstrated by applying it to specific digital materials specially developed for adult education.

Details

Quality Assurance in Education, vol. 24 no. 4
Type: Research Article
ISSN: 0968-4883

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