Adaptive Support for Student Learning in an e-Portfolio Platform by Knowledge Discovery and Case-based Reasoning
Constructing an e-portfolio platform for students is a modern educational trend. However, a student's learning context is not analyzed in the current e-portfolio platform. In this research a model was designed for identifying the specific learning context and providing the corresponding knowledge support. A system framework which uses advanced information techniques is proposed. Information Retrieval (IR) technique extracts and analyzes key concepts from the student's previous e-portfolio records. The data mining technique discovers hidden knowledge rules from key concepts.