Semantic Web Technologies for the Reuse and Adaptation of Educational Documents in E-Learning

In this paper we present the rationale and beginning of work on improving e-Iearning objects through the use of analytics modeled after Google Analytics. Prior work on the use of metrics in e-Iearning has focused on user satisfaction, and the ranking and selection of learning objects from a set of available choices. This work differs in its focus on the kinds of metrics needed to improve an existing object, or even more specifically to make improvements to specific pages within an object. This work is based on the now well established track record of using Google Analytics for website optimization in e commerce. We discuss adaptations needed to apply similar metrics in the context of e-Iearning and more specifically e learning objects.

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“…Qualitative metrics are used to classify and rank e-Iearning objects [6]. Such metrics often focus on the problem of selection.…”

Section: Related Workmentioning

confidence: 99%

Metrics for effectiveness of e-learning objects in software engineering education

Escobar

Reyes

Hilst

2014

Ieee Southeastcon 2014

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“…This implies new requirements for educational objects. One of them -the main we believe -is to allow the documents to be reused in different contexts to meet several purposes [1].…”

Section: Store Of Educational Objects Dmentioning

confidence: 99%

Semantic Annotation of Resources of Distance Learning Based Intelligent Agents

Abderrahman¹,

Aziz²,

Mohamed³

2014

Int. J. Eng. Ped.

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Abstract-This paper presents a system based on intelligent agents for the semantic annotation of learning resources taking into account the context of training. Semantic annotations systems rarely treat existing semantic annotations in the field of distance education (e-learning). Most researchers in the field of education limit annotations to specific cases (teacher annotation, learner annotation, annotation of electronic documents etc.) these annotations are edited by users with annotation tools. In turn, in our approach, we propose a semantic annotation system based on intelligent agents that manage semantic annotations of educational resources; these annotations are guided by domain of ontologies and ontology applications. We believe that the original resource annotations, a storehouse of learning objects, are standardized by LOM profile, these learning objects are managed using an ontology learning.

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Semantic Web Technologies for the Reuse and Adaptation of Educational Documents in E-Learning

Abstract: This work is about adapting the content of learning with learner’s preferences, and gives the teachers the ability to reuse a given content

Cited by 2 publications

References 0 publications

Metrics for effectiveness of e-learning objects in software engineering education

Metrics for effectiveness of e-learning objects in software engineering education

Semantic Annotation of Resources of Distance Learning Based Intelligent Agents

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