Applying Collaborative Tagging and Semantic Web Technologies for Providing Recommendation in Programming Tutoring System

The success of intelligent tutoring system depends on the retrieval of relevant learning material according to the learner’s requirements. Therefore, the ultimate goal is development of the system that provides learning materials considering the requirements and understanding capability of the specific learner. In previous research, we implemented tutoring system named Protus 2.0 (PROgramming TUtoring System) that is used for learning basic concepts of Java programming language. It includes the use of an ontology and adaptation rules for knowledge representation. This paper presents the implementation of collaborative tagging technique for content recommendation in Protus 2.0. This technique can be applied in intelligent tutoring systems for providing tag-enabled recommendations of concepts and resources. Learners can tag the content in a collaborative way. The presented system generates repository of entered tags and recommends tags and learning resources to specific learner. System also provides browsing capabilities through the ontology concepts and the tags repository.