Title
Adaptation In E-Learning Content Specifications With Dynamic Sharable Objects
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.
Year
DOI
Venue
2016
10.3390/systems4020024
SYSTEMS
Keywords
Field
DocType
e-learning systems, dynamic languages, learning object, content specifications
Web development,Rubric,E learning,Computer science,Learning object,Multimedia
Journal
Volume
Issue
ISSN
4
2
2079-8954
Citations 
PageRank 
References 
0
0.34
0
Authors
5