Recommender system in E-student web-based adaptive educational hypermedia system

The recommender system becomes an aiding tool which could be a solution for handling the huge stream of information from the Internet. These systems collect information from the users, process it and provide it to those who are interested in them. By filtering the information from hyperspace and presenting these in some sorted format, navigation becomes controlled. This paper presents a recommender system which is implemented in the E-student web-based educational hypermedia system used at Subotica Tech. The presented system has two goals. Firstly, to help students in the learning process by suggesting effective learning paths. Secondly, it aims to provide feedback about the students´ satisfaction regarding the structure of the e-learning system, the e-learning content, the quality of examples, and further aspects. Based on the given feedback, the e-learning system and curricula developers can build a system which is easy to use and ensures more effective knowledge transfer.