Reviews psychometric approaches to problems of modeling student achievement (the student model) within intelligent tutoring systems (ITS). A number of cognitively oriented psychometric approaches, including latent-trait models, statistical pattern recognition methods, and causal probabilistic networks are described and discussed within the current…

A new fuzzy student modeling method with two intelligent agents, a diagnosis agent and a learning agent, are suggested by this article for several aspects of student modeling in Intelligent Tutoring Systems. Also integrated are fuzzy theories and Fuzzy-Hasse diagrams for student modeling. (Author/AEF)

Discusses the design and use of intelligent tutoring systems (ITS) for computerized business simulations. Reviews the use of ITS as an instructional technology; presents a model for ITS-based business simulations; examines the user interface and link between the ITS and simulation; and recommends expert-consultant diagnostic testing, and…

This paper is grounded in a large-scale, nine-year research project intended to design, develop, evaluate, and transfer intelligent tutoring systems (ITS) to public schools and workforce development settings. Discussion includes the implementation model; roles and responsibilities of the project team; evaluation results of the tutoring systems;…

Intelligent tutoring systems (ITS) are educational software based on expert systems that store educational knowledge. This article describes a model for computer-assisted mediation and its application in a prototype multimedia ITS for teaching blind children the recognition and reproduction of Braille signs. This system differs from previous work…

Proposes a model for intelligent computer-aided education systems that is based on cooperative learning, constructive problem-solving, object-oriented programming, interactive user interfaces, and expert system techniques. Future research is discussed, and a prototype for teaching mathematics to 10- to 12-year-old students is appended. (LRW)

Describes a modelling language for representing teaching strategies, based in the context of the COCA intelligent tutoring system. Examines work on meta-reasoning in knowledge-based systems and describes COCA's architecture, giving details of the language used for representing teaching knowledge. Discusses implications for future work. (AEF)