Semantic model of syllabus and learning ontology for intelligent learning system

Abstract

The syllabus is a blueprint of course for teaching and learning because it contains the important meaning of promise between instructor and students in higher education and university. However, the current most of all syllabus management systems provide simple functionalities including creation, modification, and retrieval of the unstructured syllabus. In this paper, our approach consists of a definition of the ontological structure of the syllabus and semantic relationships of syllabuses, classification and integration of the syllabus based on ACM/IEEE computing curriculum, and formalization of learning goals, learning activity, and learning evaluation in syllabus using Bloom’s taxonomy for improving the usability of the syllabus. Also, we propose an effective method for enhancing the learning effect of students through the construction of subject ontology, which is used in discussion, visual presentation, and knowledge sharing between instructor and students. We prove the retrieval and classification correctness of our proposed methods according to experiments and performance evaluations.