Using Recommendation Systems in Course Management Systems to recommend Learning Objects

نویسندگان

  • Jamil Ahmad Itmazi
  • Miguel Gea Megías
چکیده

Recommendation systems have been widely used in many internet activities and their importance is increasing due to the information overload problem arising from internet. This paper gives background and some example of the RS current usage domains, the different recommendation systems approaches. In addition, the paper discusses the recommendation systems ability using in the learning management systems / course management system to support students’ needs, as well as it discusses the suitability of every recommendation systems approach to recommend learning objects, finally it presents a design of a proposal structure of recommendation systems in learning management systems which could be recommend a suitable learning objects (e.g., courses) to students from a big list of those learning objects.

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عنوان ژورنال:
  • Int. Arab J. Inf. Technol.

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2008