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Structural Learning (Volume 1) : Theory and Research /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Scandura, Joseph M. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Taylor and Francis, 2017.
Edición:First edition.
Colección:Routledge Library Editions: Psychology of Education
Routledge Library Editions: Psychology of Education ; Volume 36
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Structural Learning (Volume 1) :  |b Theory and Research /  |c Joseph M. Scandura. 
250 |a First edition. 
264 1 |a London :  |b Taylor and Francis,  |c 2017. 
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490 0 |a Routledge Library Editions: Psychology of Education ;  |v Volume 36 
500 |a "Originally published in 1973, this book was published in two volumes. In the first volume, the author describes what he sees as the rudiments of three deterministic partial theories of structural learning. The first involves competence, partial theories which deal only with the problem of how to account for the various kinds of behavior of which people are typically capable. Special attention is given to mathematical competence. Nothing is said about learning or performance. The second partial theory is concerned with motivation, learning, and performance under idealized conditions, and is obtained from the first partial theory by imposing further structure on it. This theory says nothing about memory of the limited capacity of human subjects to process information. ... The final theory is obtained from the second by making additional assumptions, which bring memory and finite information processing into the picture. The theory is still partial, however, since no attempt is made to deal with certain ultra-short-term behavioral phenomena which appear to depend directly on particular physiological characteristics."--Provided by publisher. 
505 0 |a Cover page; Halftitle page; Title page; Copyright page; Title page; Copyright page; CONTENTS; PREFACE; Chapter 1 INTRODUCTION AND OVERVIEW; 1. OVERVIEW; 2. RELATION TO TRADITIONAL THEORIES; Chapter 2 WHAT IS A RULE?; 1. RULES AND RULE-GOVERNED BEHAVIOR; 1.1 Rule-Governed Behavior; 1.2 The Rule Construct; 2. MORE PRECISE SPECIFICATION; 2.1 Characterization of Rule-Governed Behavior; 2.2 Characterization of the Rule Mechanism; 2.3 Schematic Representation of Procedures and Hierarchies; 3. BEHAVIOR POTENTIAL; 3.1 Formal Representation of Behavior Potential in Terms of Categories and Functors. 
505 8 |a 3.2 Accounting for Behavior PotentialChapter 3 MATHEMATICAL PRELIMINARIES; 1. CONCRETE EMBODIMENTS; 2. MATHEMATICAL SYSTEMS; 3. INFORMAL AXIOMATIC THEORIES; 4. FORMAL SYSTEMS; 5. PROOF THEORY AND MODEL THEORY; Chapter 4 RULE-BASED THEORIES OF STRUCTURED KNOWLEDGE:; 1. RULE SETS AND EVALUATIVE CRITERIA; 2. ALTERNATIVE CHARACTERIZATIONS; 3. RELATIONSHIPS TO LINGUISTICS; Chapter 5 FOUNDATIONS OF THE THEORY OF KNOWLEDGE; 1. NATURE OF THE STIMULI AND RESPONSES; 2. RULES; 3. PROGRAMS: DESCRIPTIONS OF RULES; 4. KINDS OF RULES; 5. NATURE OF THE THEORY OF KNOWLEDGE; 6. APPLICATIONS. 
505 8 |a 7. AXIOMS, COMMENTS, AND CONJECTURESChapter 6 A THEORY OF MATHEMATICAL KNOWLEDGE; 1. SEMANTIC KNOWLEDGE-MATHEMATICAL SYSTEMS AND EMBODIMENTS; 1.1 Simple Rules and Simple Elements; 1.2 Relationships Within Systems; 1.3 Semantics and Relation ships Between Systems and Embodiments; 1.4 Behavioral Implications-Instances of Creative Behavior; 2. SYNTACTIC KNOWLEDGE-FORMAL SYSTEMS; 3. AXIOMATICS-RELATIONSHIPS BETWEEN SEMANTIC AND SYNTACTIC KNOWLEDGE; 3.1 The Nature of (Semantic) Inference Rules; 3.2 On Generating New Logical Procedures. 
505 8 |a 3.3 Conjecture-Making, Constructing Counterexamples, Proof and Model TheoryChapter 7 MECHANISMS OF LEARNING AND PERFORMANCE; 1. SOME PRELIMINARIES-DECISION MAKING CAPABILITIES, GOALS, AND RULES; 2. PERFORMANCE MECHANISMS: CONDITIONS UNDER WHICH (LEARNED) RULES ARE PUT TO USE; 3. ASSESSING BEHAVIOR POTENTIAL; 3.1 Related Research; 3.2 The Problem; 3.3 A Solution; 3.4 Testing the Hypothesis; 3.5 Some Empirical Results; 3.6 Assessing Behavior Potential; 4. THE NATURE OF PROBLEM SOLVING-A MECHANISM FOR LEARNING; 4.1 Basic Hypotheses and Examples; 4.2 Experiments on Problem Solving. 
505 8 |a 5. DISCOVERY LEARNING6. EXPOSITORY LEARNING; 6.1 The Nature of Interpretation; 6.2 Properties of Minimal Signs (Symbols and Icons)37; 6.3 Characterization of Knowledge Underlying Interpretation; 6.4 Mechanisms of Learning and Performance in Expository Learning; 6.5 On Ambiguity; 7. SUMMARY AND CONCLUDING REMARKS; Chapter 8 MECHANISMS OF MOTIVATION; 1. NATURE OF MOTIVATION THEORY IN STRUCTURAL LEARNING; 2. IDENTIFYING MOTIVES (GOALS) AND RULES -- EXPLANATION; 2 . 1 Verbal Reports; 2.2 Refined Goal Criteria; 2.3 Further Comments; 3. EXPERIENCE-FREE HYPOTHESES; 4. EXPERIENCE-SENSITIVE HYPOTHESES. 
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