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Adaptation in e-learning content specifications with dynamic sharable objects

Gutiérrez-Martínez, I., Álvarez, V., Paule-Ruiz, M., Pérez-Pérez, J.R. and de Freitas, S. (2016) Adaptation in e-learning content specifications with dynamic sharable objects. Systems, 4 (2). p. 24.

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Abstract

Dynamic sophisticated real-time adaptation is not possible with current e-learning technologies. Our proposal is based on changing the approach for the development of e-learning systems using dynamic languages and including them in both platforms and learning content specifications thereby making them adaptive. We propose a Sharable Auto-Adaptive Learning Object (SALO), defined as an object that includes learning content and describes its own behaviour supported by dynamic languages. We describe an example implementation of SALO for the delivery and assessment of a web development course using Moodle rubrics. As a result, the learning objects can dynamically adapt their characteristics and behaviour in e-learning platforms.

Publication Type: Journal Article
Murdoch Affiliation: Vice Chancellery
Publisher: MDPI
Copyright: © 2016 by the authors; licensee MDPI, Basel, Switzerland
URI: http://researchrepository.murdoch.edu.au/id/eprint/42205
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