Structural Learning (Volume 1) : Theory and Research

Structural Learning (Volume 1) : Theory and Research / Joseph M. Scandura.

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Bibliographic Details
Main Author: Scandura, Joseph M. (Author)
Format: eBook
Language:English
Published: London : Taylor and Francis, 2017.
Edition:First edition.
Series:Routledge Library Editions: Psychology of Education
Routledge Library Editions: Psychology of Education ; Volume 36
Subjects:
Learning, Psychology of.
PSYCHOLOGY > History.
EDUCATION > Essays.
EDUCATION > Organizations & Institutions.
EDUCATION > Reference.
Learning, Psychology of
Online Access:Click for online access
Table of Contents:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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