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Learner Ontological Model for Intelligent Virtual Collaborative Learning Environment

Journal: International Journal of Computational Engineering Research(IJCER) (Vol.6, No. 2)

Publication Date:

Authors : ; ;

Page : 20-22

Keywords : Collaborative Learning; e-learning; Expert System; Heuristics; Multi-Objective Grey Situation Decision Making Theory; and Ontology;

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An enacting approach to intelligent virtual collaborative learning model is explored through the lens of critical ontology. This ontological model enables to reuse of the domain knowledge and to make the knowledge explicitly available to the agent working as an Expert System, which uses the operational knowledge in collaborative learning environment. This ontological model used by the agent to identify the preliminary competency level of the user. This environment offers personalized education to each learner in accordance with his/her learning preferences, and learning capabilities. Here the factors considered to identify the learning capability taken are demographic profile, age, family profile, basic educational qualification and basic competency scale. The conception of heuristics is then used by the agent to determine the effectiveness of the learner by referring the different parameters of the learner available in the ontological model.To help getting over this, the paper describes the experience on using an ontological model for collaborative learning to relate and integrate the history of the learner by maintaining the history of learner in collaborative learning environment that will be used by the Multi-Objective Grey Situation Decision Making Theory to infer the understanding level of user and produces the conditional content to the user.

Last modified: 2016-09-17 14:40:23