Premium
Education, training and knowledge base design
Author(s) -
Tompsett C.P.
Publication year - 1988
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1988.tb00347.x
Subject(s) - computer science , mediation , interpretation (philosophy) , knowledge representation and reasoning , context (archaeology) , knowledge base , representation (politics) , knowledge management , semantics (computer science) , open knowledge base connectivity , knowledge based systems , training (meteorology) , human–computer interaction , artificial intelligence , personal knowledge management , programming language , paleontology , organizational learning , physics , politics , meteorology , political science , law , biology
Knowledge based systems offer considerable potential for the creation of new learning environments. In education such environments can be used with the mediation of a teacher and limits to the interpretation of the knowledge do not necessarily present problems. Intelligent tutoring systems cannot rely on human mediation and all interpretation of learner understanding is restricted to semantics of the knowledge representation. Thus the choice of representation is fundamental to the design of an intelligent tutoring system. Experience from an engineering context suggests that the success of a few intelligent tutoring systems depends on the formal nature of the topics considered. Typical topics for education and training require the integration of a formal understanding with an informal interpretation of considerable complexity. A new approach to the use of knowledge based systems, firmly centred on experience of applications actively used in education and/or training, will be required to solve this problem.