By Michael R. Kibby, J. Roger Hartley

This quantity includes a collection of the simplest papers from the pc Assisted studying '91 Symposium. It contains learn on a variety of themes on the topic of desktops and studying with an emphasis on difficult study proof and cutting edge explorations

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Extra info for Computer Assisted Learning: Selected Contributions from the CAL '91 Symposium. Selected Contributions from the CAL91 Symposium 8–11 April 1991, Lancaster University

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They aim to find a sequence which has the most appropriate actions for the individual student. Once chosen, the script is followed until an obstacle in the student model or in the environment appears. Then the Planner is invoked again to re-plan. 2. The local level pedagogical decisions The local level decisions of when to interfere, and what to say to the student are taken by the Executor sub-component. It consecutively executes the actions of the teaching operators which are listed in the script.

We add an extra flavour to this traditional design by showing the interdependencies between models and 32 WOUTER R. VAN JOOLINGEN and TON DE JONG Fig. 1. Structuring of an ISLE knowledge base. The domain knowledge in the conceptual and operational models serves as a basis for the description of ISLE-related knowledge. allowing overlap. This is illustrated in Fig. 1, there neglecting the overlap for reasons of clarity. In de Jong et al [10] this model based approach, based on the KADS knowledge base development methodology [11], is elaborated further.

SALT Warrenton, Va (1988). 22. Mitchell P. D. and Grogono P. , Modelling abstract concepts for conversation in an intelligent tutoring system. In Proceedings of PEG91: Knowledge-Based Environments for Teaching and Learning, Genova, Italy (1991). Computers Educ. Vol. 18, No. 1-3, pp. 29-37, 1992 Printed in Great Britain. 00 Copyright © 1992 Pergamon Press pic MODELLING DOMAIN KNOWLEDGE FOR INTELLIGENT SIMULATION LEARNING ENVIRONMENTS* W O U T E R R. O. Box 513, NL-5600 MB Eindhoven, The Netherlands Abstract—Computer simulations are an often applied and promising form of CAL.

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