Artificial Intelligence in Higher Education: CEPES-UNESCO by Robert M. Aiken (auth.), Vladimir Mařík, Olga à těpánková,

By Robert M. Aiken (auth.), Vladimir Mařík, Olga à těpánková, Zdeněk Zdráhal (eds.)

This quantity offers the written models of talks introduced on the symposium "The creation of AI in better schooling" held in Prague, Czechoslovakia, October 23-25, 1989. Contributions assessment the present influence of AI at the academic method, stressing the issues and desires of universities. specific structures, initiatives and methodologies are de scribed with the purpose of amassing and generalizing the event acquired. the newest advancements turn out that AI bargains attention-grabbing tools that may be used with luck throughout a much broader variety within the area of schooling. the character and spirit of AI kinds a brand new phenomenon which necessitates reconsidering the total academic procedure. Papers during this quantity describe subtle tutoring structures in addition to feedback for brand new curricula.

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Additional resources for Artificial Intelligence in Higher Education: CEPES-UNESCO International Symposium Prague, CSFR, October 23–25, 1989 Proceedings

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There a r e t o o l s f o r s u p p o r t i n g of t h e CAI courseware d e v e l o p m e n t . have been every stage of the l i f e We w i l l describe developed t o support the conceptual cycle below t h e t o o l s design, implementation and q u a l i t y c o n t r o l o f e x p e r t t u t o r i n g systems. The conceptual design consists in f e a t u r e s o f t u t o r i n g program and i t s the d e s c r i p t i o n o f t h e main p l a c e i n t h e c u r r i c u l u m . The c o n - c e p t u a l design r e q u i r e s e x p e r t i s e i n t h e a r e a s o f s u b j e c t m a t t e r , p s y chological learning g i e s .

Initially the SM i s formed in course o f a p r e l i m i n a r y t e s t i n g of s t u d e n t . The t u t o r i n g o b j e c t i v e i s expressed in terms o f the the SM. There i s a d i s t i n c t i o n between an o v e r l a y SM and a model of e r r o r s . The f o r mer i s a subset o f the e x p e r t knowledge model in the PD and, as a r u l e , has a s e t o r a network t o a concept the r e p r e s e n t a t i o n , e a c h s t a t e o f which corresponds acquiring of n o t i o n o r t a s k ) .

Substitution cancellation inclusion ofrelations . . . ~ . ^ ~ . i I . . . . . . . . . . . . . Replacement detailing ofand components by newcomponents+ + therelations amongthem ~ Figure I: The general reasoning structure for design In both cases a two level organization -A local and specialized of the knowledge knowledge, represented is defined: by several basic extension tasks. -A general problem solving knowledge that controls the application of the different These two types different specific products knowledge applications evaluation definition a design of Specialists.

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