Franz Stetter

Wilfried Brauer

Dieses Buch enthält die Beiträge einer Tagung, die gemeinsam vom Fachbereich "Ausbildung und Beruf" der Gesellschaft für Informatik und dem Institut für Film und Bild in Wissenschaft und Unterricht FWU veranstaltet wurde. Die absehbare technische Weiterentwicklung des Computers in der Hardware und der Software öffnet der Ausbildung viele Wege in die Zukunft. Dies belegt eindrucksvoll der Themenkatalog der Tagung: Ausbildung an allgemeinen und berufsbildenden Schulen, betriebliche Ausbildung, Netze und Telekommunikation, Computer-unterstütztes Lernen und Anwenden im Schulunterricht.

GI-Fachtagung, München, 15.–17. November 1989 Proceedings

Informatik und Schule 1989: Zukunftsperspektiven der Informatik für Schule und Ausbildung

Aletta E. Geldenhuys

Hendrik O. van Rooyen

Knowledge Representation and Relation Nets introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. The method extends and formalizes concept mapping by developing knowledge representation as a structure of concepts and the relationships among them. Such a formal description of analogy results in a controlled method of modeling `new' knowledge in terms of `existing' knowledge in teaching and learning situations, and its applications result in a consistent and well-organized approach to problem solving. Additionally, strategies for the presentation of study material to learners arise naturally in this representation. While the theory of relation nets is dealt with in detail in part of this book, the reader need not master the formal mathematics in order to apply the theory to this method of knowledge representation. To assist the reader, each chapter starts with a brief summary, and the main ideas are illustrated by examples. The reader is also given an intuitive view of the formal notions used in the applications by means of diagrams, informal descriptions, and simple sets of construction rules. Knowledge Representation and Relation Nets is an excellent source for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of education, and structural modeling.

Franz Stetter

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