Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach

Abstract

Abstract-To achieve the adaptability required in ALS, adaptive learning system (ALS) takes advantage of granular and reusable content. The main goal of this paper is to examine the learning object granularity issue which is directly related with Learning Object (LO) reusability and the adaptability process required in ALS. For that purpose, we present the learning objects approach and the related technologies. Then, we discuss the fine-grained as a fundamental characteristic to reach the adaptability and individualization required in ALS. After that, we present some learning object granularity approaches in the literature before presenting our granularity approach. Finally, we propose an example of implementation of our approach to test its ability to meet the properties associated with fine-grained and adaptability.

The Model of Adaptive Learning Objects for virtual environments instanced by the competencies

“…The knowledge comprises the set of topics and themes that are part of a profession and that the students need to develop, while the skill represents the abilities to use the knowledge in the development of an activity [12]. Thus, the competence defines the person's ability to perform a task [26], as a result of the relations between a specific knowledge, and a know-how [13].…”

“…As a result, a LO becomes a valid resource within the competence acquisition process, achieving an objective, a result or competence in a specific knowledge [21,25], which is conditioned to the quality of the LO, which involves aspects linked to its structure and granularity, and therefore, its adaptation in all or parts of its components [13].…”

“…Components to adapt [5]: content and navigation patterns of a particular user, according to user preferences [13]: content, navigation and presentation [29]: organization of the ALO and assessment items, MALO: semantics, presentation and organization of contents. Possibility of adding other types of adaptation Rules used [5]: propose the use of content adaptation, navigation and evaluation rules.…”

“…Possibility of adding other types of adaptation Rules used [5]: propose the use of content adaptation, navigation and evaluation rules. [13]: propose rules of navigation, content and presentation. [29]: they propose a set of services, but they do not…”

“…Modularity [5]: is based on rules of adaptation, knowledge of the domain and the user [13]: is based on content granularity, adaptive rules and user domains, context and adaptation MALO: modular design based on adaptation components, metadata and internal LO units Extensibility [5]: They do not propose it [13]: They do not propose it [29]: new services can be included MALO: It proposes the scalability of the model, allowing the incorporation of new rules of adaptation and conversion Flexibility [5]: it is fundamentally based on the preferences and limitations of the user, as well as on their learning needs. [13] incorporates preferences and limitations of the user, as well as learning resources, but does not consider technological aspects nor patterns of use [29] they use the competencies to guide the adaptation MALO: possibility to adapt the preferences and limitations, both user and technologies. Adaptation Metadata [5]: They do not propose [13]: They do not propose [29]: they do not propose an adaptive metadata MALO: The model works with the IEEE-LOM standard.…”