Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.
Edited by:
Joseph M. Scandura Imprint: Routledge Country of Publication: United Kingdom Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 489g ISBN:9780415789233 ISBN 10: 0415789230 Series:Routledge Library Editions: Psychology of Education Pages: 354 Publication Date:08 October 2019 Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format:Paperback Publisher's Status: Active
Preface. 1. Basic Unit in Structural Learning: Association or Automaton (Rule)? 2. New Directions for Research on Rule Learning 3. Graph Theoretic Models 4. Piagetian Models 5. Simulation Models 6. Competence Models in Mathematics 7. A Theory of Structural Learning. Bibliography. Author Index. Subject Index.