Towards Less Intelligent Tutoring Systems

Intelligenttutoring systems are becoming increasingly popular teaching tools within the business domain. These systems carefully diagnose the behaviour of the learner in order to gain insight into the learner\u27s knowledge state to tailor the instruction according to the needs of the individual learner. Although the artificial intelligence research within the field of diagnosis has progressed significantly, diagnostic processes are still far from perfect and doubts have emerged whether perfection can ever be achieved.This paper, therefore, explores suggestions that have been made on how to achieve effective teaching without detailed student models. It then proposes to merge these suggestions with the valuable ideas that have emerged from the research in the field of intelligent tutoring systems in order to develop effective teaching tools.Still, the development of these hybrid systems raises further questions about the concrete implementation of some of the ideas raised. This paper concludes by addressing some of these problems as a point of departure for further research towards less intelligent tutoring system

Intuition - Applying Intelligent Tutoring to Gaming-Simulation

Gaming-Simulation Environments have recently become valuable tools for education and training. To enhance their pedagogical effectiveness as a teaching environment they have to be equipped with intelligent tutoring support. The integration of an Intelligent Tutoring System into a Man-Machine Gaming-Simulation Environment provides such an intelligent teaching tool. This paper presents INTUITION, the implementation of the Metal Box Business Simulation Game, that illustrates how an Intelligent Tutoring System may be embedded within a Gaming-Simulation Environment