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Adaptation in e-learning content specifications with dynamic sharable objects
Journal article   Open access   Peer reviewed

Adaptation in e-learning content specifications with dynamic sharable objects

I. Gutiérrez-Martínez, V. Álvarez, M. Paule-Ruiz, J.R. Pérez-Pérez and S. de Freitas
Systems, Vol.4(2)
2016
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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.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#4 Quality Education

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