Sharing learner profile through an ontology and Web services

Musa, Daniela Leal; Muñoz, Lydia Silva; Oliveira, José Palazzo M. de

doi:10.1109/dexa.2004.1333509

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…The property st:locationLearningTrajectoryWF indicates the URL where the current learning trajectory for the student is. The remaining classes in the model represent the range of the properties defined in the Knowledge Space Model (Musa et al, 2004).…”

Section: Student Modelmentioning

confidence: 99%

From an E-Learning to an U-Learning Environment

2010

Proceedings of the 2nd International Conference on Computer Supported Education

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AdaptWeb ® is an e-learning environment designed to offer personalized content to different groups of students according to student's models that are mainly based on personal information. This paper shows how the platform is modified to support ubiquitous learning, managing mobility, social interaction, device independence, and context awareness in a broader and richer notion of the student's context. The paper presents the architecture and its implementation by three different kinds of data servers, working together for modeling the situations experienced by the students, storing their profiles and contexts, and maintaining corresponding learning objects.

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Section: Student Modelmentioning

confidence: 99%

From an E-Learning to an U-Learning Environment

2010

Proceedings of the 2nd International Conference on Computer Supported Education

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“…Among different e-learning systems, the exchange of the learner's information is important. To make this information exchange possible a Web Ontology is constructed to make different e-learning systems to cooperate with each other in order to reach a set of learner information richer than the information that can be found in standard e-learning systems [7].…”

Section: Figure 1 Ontology Use In E-learningmentioning

confidence: 99%

Restructuring E-learning With Ontologies

Sun

Liu

2007

2007 International Conference on Computational Science and Its Applications (ICCSA 2007)

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“…Semantic interoperability has been investigated in several studies [2,3,4,5] to allow components of different learning systems to work seamlessly together using ontologies to address terminological and structural differences, and to integrate context and user information for personalized learning [3,6,7]. In a study on semantic interoperability in personalized adaptive learning environments, Aroyo et al [8] show different techniques to achieve interoperability and consider the integration of heterogeneous information resources and services in the learning domain using Semantic Web technologies to meet the requirements of a learner.…”

Section: Introductionmentioning

confidence: 99%

An adaptive learning system using plug and play ontologies

Heiyanthuduwage

Schwitter

Orgun

2013

Proceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

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The terminology used by a particular educational institution is usually specific to that institution. Therefore, it is not possible to directly deploy a learning system that has been developed for one institution at another institution. Semantic interoperability among learning systems has been proposed as a solution to overcome terminological and structural differences. However, semantic interoperability is difficult to achieve in an educational environment since it requires a common ontology that is based on a shared understanding of the learning domain. To circumvent this problem, we introduce an adaptive learning system that relies on a domain-specific ontology that can be plugged into the learning system. In order to demonstrate the plug and play architecture of our system and its reasoning services, we compare two instances of the learning system we have created: one for Macquarie University and one for Charles Sturt University. We show how user queries can be answered over the domain-specific ontology at each institution using a description logic reasoner.

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Sharing learner profile through an ontology and Web services

Cited by 4 publications

References 3 publications

From an E-Learning to an U-Learning Environment

From an E-Learning to an U-Learning Environment

Restructuring E-learning With Ontologies

An adaptive learning system using plug and play ontologies

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