Download Intelligent Tutoring Systems: 5th International Conference, by Peter Brusilovsky (auth.), Gilles Gauthier, Claude Frasson, PDF

By Peter Brusilovsky (auth.), Gilles Gauthier, Claude Frasson, Kurt VanLehn (eds.)

ITS 2000 is the 5th overseas convention on clever Tutoring platforms. The previous meetings have been equipped in Montreal in 1988, 1992, and 1996. those meetings have been so strongly supported by means of the foreign group that it was once made up our minds to carry them each years. ITS’98 was once prepared through Carol Redfield and Valerie Shute and held in San Antonio, Texas. this system committee integrated individuals from thirteen international locations. They acquired a hundred and forty papers (110 complete papers and 30 younger researchers papers) from 21 nations. as with every overseas convention whose lawsuits function a reference for the sphere, this system committee confronted the not easy job of choosing papers from a very top of the range set of submissions. This court cases quantity includes sixty one papers chosen through this system committee from the a hundred and ten papers submitted. They have been provided on the convention, in addition to six invited lectures from popular audio system. The papers disguise a variety of matters together with architectures for ITS, instructing and studying suggestions, authoring structures, studying environments, educational designs, cognitive methods, pupil modeling, dispensed studying environments, overview of tutorial structures, cooperative platforms, internet dependent education structures, clever brokers, agent dependent tutoring platforms, clever multimedia and hypermedia structures, interface layout, and clever distance learning.

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Intelligent Tutoring Systems: 5th International Conference, ITS 2000 Montréal, Canada, June 19–23, 2000 Proceedings

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Extra info for Intelligent Tutoring Systems: 5th International Conference, ITS 2000 Montréal, Canada, June 19–23, 2000 Proceedings

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1999) 23. : Learner modelling for intelligent CALL. In: A. , Tasso, C. ), User modeling: Proceedings of the Sixth International Conference, UM97. Springer Wien Vienna, New York (1997) 301–312 24. : The state of the art in text filtering. User Modeling and User-Adapted Interaction. 7:3 (1997) 141–178 25. : Externalising learner models. Proceedings of World Conference on Artificial Intelligence in Education. AACE, Washington (1995) 509– 516 26. : User modeling via stereotypes. Cognitive Science.

The differential model is a form of overlay model which represent a subset of domain knowledge. This student model deals only with the aspects that the system intends the student to learn. We might call this plausibly ideal student: a stereotype of the sort of student knowledge and skills we might reasonably expect to be achieved after learning with the system. This differs from the overlay on an expert model because it distinguishes those aspects of the expert model the student is expected learn from others.

This means that we would expect to find 13% of people who are average C++ programmers and for whom this inference does not hold. The complete stereotype M will have many such inferences. 3 Stereotyped Student Models The stereotypes described above may seem quite unlike the student modelling in most systems. Indeed, aside from the small number of systems mentioned earlier, Stereotypes, Student Models and Scrutability 23 most systems ostensibly seem to operate quite differently. This section shows the use of stereotypes in most student modelling.

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