Abstract
In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs ? Chamilo, Claroline, Ilias and Moodle ? and their characteristics suitable for creating an LMS part of a context model, which would be suitable to implement in recommender systems for this purpose. A sample set of use cases is given, which describes how teachers and content authors could use the system. Based on the survey results, a set of context model dimensions is proposed.
Highlights
For several years, great efforts and breakthroughs in methods of conducting e-learning classes can be observed, such as highly collaborative courses based on social networking, project-based education, Web2.0-based education etc
The goal of this paper is to examine which contextual data can be gathered from a conventional learning management system, as an environment for authoring or presenting educational content, to enhance the quality of learning object recommendations to authors of e-learning content
While analyzing these context dimensions and use cases, it should be observed that learning management system (LMS) contextual data is only one of three parts comprising the full context model
Summary
Great efforts and breakthroughs in methods of conducting e-learning classes can be observed, such as highly collaborative courses based on social networking, project-based education, Web2.0-based education etc. Most of the teachers continue to use their preferred LMS and tools they are used to, instead of moving on to new technical solutions [1] In these cases, even when an existing and well-known environment is used, it is possible to enhance the experience of authoring educational content and teaching, using helper tools available and integrated in the environment. An overview of several open source learning management systems is given, their characteristics – of importance for context modeling – are analyzed, use cases are described and an initial set of possible context dimensions is proposed. It proposes a set of context dimensions which can be used to specify this part of the model.
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