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An Intelligent Collaborative E-learning Strategy

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1 Author(s)
Gamal A. Ebrahim ; Comput. & Syst. Eng. Dept., Ain Shams Univ., Cairo, Egypt

Evaluating learners in terms of collaboration capabilities in a collaborative e-learning session can be quantified based on several parameters. These parameters include learner's contribution in the collaborative e-learning session. They also include learner's collaboration history in collaborative e-learning sessions and the collaboration capabilities of the group in which he participates. These parameters can be used as inputs to a model that generates a set of recommendations for the next step that should be taken towards the e-learning objectives. These recommendations can be used to enroll the learner in an e-learning session that best fits his collaboration capabilities. In this paper, a fuzzy inference system is introduced to estimate learner's collaboration in terms of a proposed metric called collaboration-index. This index can be utilized to guide the e-learning system for advising the learner to the best choice of the next collaborative e-learning session. Simulation study has been carried out to evaluate the performance of the proposed strategy. Simulation results show that the proposed strategy provides a positive impact on collaborative e-learning environments.

Published in:

Computer Modeling and Simulation (EMS), 2011 Fifth UKSim European Symposium on

Date of Conference:

16-18 Nov. 2011