Improving the Effectiveness of Learning Content Retrieval through Content Classification and Profiling?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 8)Publication Date: 2014-08-30
Authors : V.R.Raghuveer; R.Mohanasundaram;
Page : 662-668
Keywords : Learning Objects; granular LOs; classification of LO; learner support; active learning; learner groups;
Abstract
ELearning plays an important role in educating the people across the world. With the advancements in the WWW and communication technologies the developing countries like India harness the possibilities of creating educated communities. However the lack of proper learning content and appropriate support for the learners suppress the growth of eLearning. This paper proposes Collaborative eLearning System (CeLS) that uses classification based approach wherein, the LOs are provided through various groups such that the learner could get them from the group that can give the maximum support for learning. The results have highlighted that fact that learning content can no longer be created in ―one size fits all‖ fashion by sensitizing the effects of retrieving the most appropriate learning content for the learners.
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Last modified: 2014-09-02 23:35:18