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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 4,April 2012
Personalizing M-learning Systems Using Recommender Systems
Full Text(PDF, )  PP.155-159  
Author(s)
Mahsa Baniardalan and Mehregan Mahdavi
KEYWORDS
— Content, Context Aware, Mobile Learning, Personalization, Recommender Systems.
ABSTRACT
In mobile learning, there is no limitation for the number of learners; it is more attractive than traditional learning, more convenient and cheaper for updating, quicker in terms of broadcasting, less bulky and it is easier to transfer information. In addition, the studies show that today, personalization is an important prerequisite for attracting learners in order to consider their requirements and interests and to provide proper context for the learners. This can result in improving the quality of learning. In this paper, a comprehensive model is presented which includes personal, contextual, and environmental properties. Based on these parameters, the recommender system suggests educational materials in a proper manner such that the learner is attracted to the learning system. The system's performance could be evaluated using questionnaires.
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