A learner’s role-based multi dimensional collaborative recommendation (LRMDCR) for group learning support

Abstract

This article argues for the new solution of personal recommender systems that can provide learners with suitable learning objects to learn in group learning. In order to improve the ldquoeducational provisionrdquo to implement the e-learning recommender system, we propose a new recommendation approach which has been proven to be more suitable to realize… (More)

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Cite this paper

@article{Wan2008ALR, title={A learner’s role-based multi dimensional collaborative recommendation (LRMDCR) for group learning support}, author={Xin Wan and Toshie Ninomiya and Toshio Okamoto}, journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)}, year={2008}, pages={3912-3917} }