A Novel Approach for Developing Automatic Knowledge Construction and Diagnostic System for Tag-Based Learning Environment

With the advent of Web 2.0 technology, researchers have attempted to use Web 2.0 tools to develop adaptive and cooperative learning environments. However, in building learning and teaching diagnostic system, one of the major difficulties is the lack of prior knowledge to help learners read and understand what they read in articles. Moreover, because of the lack of a mechanism to assist teachers in monitoring the running activities and student progress, such that constructive suggestions can be given to the students and tutoring strategies can be improved accordingly. Therefore, this paper presents a framework for calculating semantically meaningful prior knowledge and generating spreading energy for discovering student's reading status in semantic networks using a modified version of Semantic Analysis and Social Network techniques. An application to the development of a Tag-based Collaborative reading learning system is very useful for teachers and students.