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 intelligent tutoring system that provides learning materials considering the requirements and understanding capability of the specific learner. In our previous research, we implemented a tutoring system named Protus 2.1 (PROgramming TUtoring System) that is used for learning basic concepts of Java programming language. It directs the learner’s activities and recommends relevant actions during the learning process based on the personal profile of each learner. This paper presents the implementation of collaborative tagging technique for content recommendation in Protus 2.1. This technique can be applied in intelligent tutoring systems for providing tag-enabled recommendations of concepts and resources. We investigated and identified tagging practices of students and their evolution over time.
CITATION STYLE
Vesin, B., Klašnja-Milićević, A., & Ivanović, M. (2016). Protus 2.1: Applying collaborative tagging for providing recommendation in programming tutoring system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10013 LNCS, pp. 236–245). Springer Verlag. https://doi.org/10.1007/978-3-319-47440-3_26
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