Constraint Base Student Modeling (Cbsm) in Icait

Artificial intelligence plays important role in Intelligent Tutoring Systems (ITS). Intelligent tutoring systems appear to be monolithic systems. However, they are difficult to build. Constraint Base Student Modeling (CBSM) in an intelligent computer-aided instruction student ICAIT appears to be appropriate for the implementation of the major functions of intelligent training, learning environments. In this paper, we start by providing an overview of the main components of Constraint Base Student Modeling (CBSM). We then provide a brief summary of different between ITS and ICAIT. Next, present a detailed discussion of the student model. Then describe the approach, and demonstrate how user-specific feedback, and to dynamically generate new problems for the student to solve. These enhancements increase the usefulness of the domain model while minimizing the extra effort required creating it, and therefore reducing the overall effort of building a (CBSM) in an ICAIT system.