Applying a student modeling with non-monotonic diagnosis to Intelligent Virtual Environment for Training/Instruction
We present the design of a new Student Modeling Agent (SMA). SMA to be part of an Intelligent Virtual Environment for Training/Instruction. Classifying and solving contradictions occurred during the pedagogic diagnosis. Based on the information stored in a student ontology and an ATMS. Design of proper mechanisms to deal with the non monotonic nature of the diagnosis.
student model pedagogic diagnosis intelligent tutoring system