Tbt expert: A case study in integrating expert system technology with Computer Assisted instruction

Abstract

The objective of an Intelligent Computer Assisted instruction (ICAI) system is the development and delivery of instructional materials that analyze a student's performance in order to formulate individualized tutoring strategies. Successful experimental ICAI systems that employ expert system reasoning have generated interest in providing this technology to a broader user base. This paper presents the architecture of such an ICAI system which was developed by integrating an existing authoring system with an expert system shell. Design issues such as procedural versus non-procedural control, data sharing, and course organization are described as are the conceptual architecture and student/teacher paradigm which were used as a blueprint for the system.