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Contributors | |
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Preface | |
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Introduction to Evidence-Based Educational Methods | |
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The Need for Evidence-Based Educational Methods | |
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Introduction | |
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No Child Left Behind | |
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Behavior Analysis and Education | |
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Reviewing the Outcomes and Principles of Effective Instruction | |
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Introduction | |
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Precision Teaching | |
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Direct Instruction | |
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Programmed Instruction | |
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Personalized System of Instruction | |
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Emphasis on the Written Word | |
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Self Pacing | |
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Mastery | |
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Proctors | |
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Lectures for Motivation or Reinforcement | |
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Summary and Conclusion | |
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A Real Science and Technology of Education | |
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Introduction | |
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The Need for a Strategic Science of Instruction | |
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Components of an Advanced and Sophisticated Science and Technology of Instruction | |
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Cabas: A Systems Technology of Schooling and a Strategic Science of Pedagogy | |
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Conclusion | |
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Precision Teaching | |
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Precision Teaching: Foundations and Classroom Applications | |
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Why Precision Teaching? | |
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The Chart | |
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Example of Precision Teaching Implementation | |
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Read a Chart | |
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Chart Features | |
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Prediction | |
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Relative Emphasis | |
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Wide-Range Display | |
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Another Chart Example: Middle School | |
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Learning/Celeration | |
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Precision Teaching's Place in Teaching and Education | |
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Ethics and Precision Teaching Measures in Schools | |
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Precision Teaching: Applications in Education and Beyond | |
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Introduction | |
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Precision Teaching and Special Education | |
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Precision Teaching for Adult Learners in College and Pre-Vocational Training | |
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Precision Teaching Applications for Individuals with Various Disabilities | |
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Precision Teaching with Thoughts, Urges, and Other "Inner" Phenomena | |
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Precision Teaching, Computers, and Internet Resources | |
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Conclusions | |
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Direct Instruction | |
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Direct Instruction: The Big Ideas | |
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Introduction | |
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Teaching Generalizable Strategies | |
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Instructional Programs that Powerfully and Systematically Build Skills | |
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Clear and Explicit Instruction | |
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Sequence of Instruction | |
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Provide Initial Support, Then Gradually Reduce Support | |
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Provide Sufficient Practice and Mastery Critiera | |
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Provide Clear Instructions to Teachers | |
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Tracks | |
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Organize Instruction to Maximize High-Quality Instructional Interactions | |
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Placement | |
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Flexible, Skill-Based Grouping for Efficient Instruction | |
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High Rates of Overt and Active Engagement | |
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Provide Effective Corrections | |
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Research Related to Direct Instruction | |
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Teacher-Made Scripted Lessons | |
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Introduction | |
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Definition of Explicit Instruction | |
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Scripted Lessons | |
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Orient and Review | |
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Presentation of New Content | |
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Practice | |
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Model | |
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Probes and Checks | |
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Formal Assessments | |
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Independent Practice | |
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Exams | |
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Distributed Practice | |
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Positive Outcomes of Scripted Lessons | |
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The Competent Learner Model: A Merging of Applied Behavior Analysis, Direct Instruction, and Precision Teaching | |
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Introduction | |
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Applied Behavior Analysis and The Competent Learner Model | |
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What repertoires need to be developed or weakened? | |
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What stimuli are available to affect change in behavior? | |
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What contingencies are required to develop or weaken the repertoires? | |
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How can the parts of instructional conditions be arranged and rearranged to develop the competent learner repertoires? | |
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Direct Instruction and the Competent Learner Model | |
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Precision Teaching and the Competent Learner Model | |
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The Components of the Competent Learner Model | |
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The CLM Course of Study | |
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Coaching | |
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Collaborative Consultation | |
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Evidence of the Impact of the Competent Learner Model | |
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Computers and Teaching Machines | |
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Effective Use of Computers in Instruction | |
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Introduction | |
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What are the Types of Instructional Software? | |
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Tutorial | |
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Drill-and-Practice | |
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Simulations | |
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What are the Features of EffectiveInstructional Software? | |
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Antecedents for Desired Behavior | |
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Behavior: Active and Frequent Student Responding | |
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Consequences: Feedback for Student Responses | |
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What Makes Software Design Effective? | |
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Navigational Aids | |
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Presentation Style and Organization Structure | |
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Distinctiveness of Information | |
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Text Characteristics | |
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What is the Evidence for the Effectiveness of Automated Instruction? | |
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Meta-Analytic General Results | |
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Specific Meta-Analytic Findings | |
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How Should Particular Instructional Software be Evaluated? | |
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Content | |
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Outcomes | |
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Generalization | |
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Conclusions | |
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Adaptive Computerized Educational Systems: A Case Study | |
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Undergraduate Teaching in the Modern University | |
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Undergraduate Teaching in Small Liberal Arts Colleges | |
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Computers and Adaptive Instruction | |
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Adaptive Control, Teaching, and Learning | |
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Adaptive Instruction | |
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Adaptive Testing | |
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Mediamatrix and its Current Use in Higher Education | |
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Fully Supported Shaping of Reading Comprehension Skills | |
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Successive Approximations to Less Prompted Learning | |
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Further Development of Verbal Associate Networks | |
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Full Development of Verbal Associate Networks | |
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How the Probe Mode Works | |
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More on Adaptive Programmed Instruction: Parametrics of How Mediamatrix Works | |
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Assess and Certification Modes | |
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Instructor Options for Managing Student Contact with the Tutoring System | |
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Empirical Research on Mediamatrix Delivered Adaptive Instruction | |
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Higher Education's Four Horsemen of its Apocalypse | |
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Conclusion | |
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Selected for Success: How Headsprout Reading Basics Teaches Beginning Reading | |
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Introduction | |
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Key Skills and Strategies Students and Teachers' Best Friends | |
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Learning Methodologies: Foundational and Flexible | |
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Embracing the Burden of Proof: Headsprout's Unparalleled Learner Testing | |
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Enabling Evolution: Headsprout's Recombinant Teaching and Engineering Models | |
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Headsprout's Internet Advantage: Broad Availability and Continuous Improvement | |
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Headsprout Reading basics: Empirical Data | |
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Instructional Adaptability | |
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Learner Performance Data | |
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Reading Outcomes | |
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Demonstrated Effective | |
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Educator Feedback | |
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Conclusion | |
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Personalized System of Instruction | |
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The Personalized System of Instruction: A Flexible and Effective Approach to Mastery Learning | |
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Introduction | |
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History and Overview | |
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Key Features of PSI | |
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The Rise of PSI | |
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The Fall of PSI | |
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Effectiveness | |
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Flexibility | |
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Implementing PSI in the 21st Century | |
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Deciding To Use PSI | |
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Key Features of PSI: Updated and Revised | |
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Conclusion | |
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Making the Most of PSI with Computer Technology | |
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Introduction | |
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Computers in Higher Education | |
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A Brief History of CAPSI | |
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How CAPSI Utilizes Computer Capabilities | |
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Information-Processing Capabilities | |
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Data Storage Capabilities | |
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Communications Capabilities | |
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Refinements of CAPSI | |
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Higher-Order Thinking | |
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Incentives for Student Behavior | |
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Plagiarism | |
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Preventing Mastery-Criterion Circumvention | |
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Training | |
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Programming CAPSI | |
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The Peer Review System at Work | |
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Comparison with Traditional Courses | |
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Comparison with Other Computer-Mediated Courses | |
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Expanding on Technology | |
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Research Studies on CAPSI | |
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Significant Developments in Evidence-Based Education | |
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The Morningside Model of Generative Instruction: An Integration of Research-Based Practices | |
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About Morningside Academy | |
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Current Work | |
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Morningside Teachers' Academy | |
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External Partnerships | |
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Summer School Institute(SSI) | |
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Morningside Technology Transfer | |
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Philosophical and Empirical Underpinnings | |
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Generativity and Contingency Adduction | |
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A System of Instruction | |
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Establishing Objectives and Analyzing Content | |
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Content-Dependent Analysis | |
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Content-Independent Analysis | |
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Instructional Program Development | |
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Critical Thinking and Self-Regulation | |
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Self-Direction and Independence | |
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Program Placement and Monitoring Based on Continuous Measurement of Performance | |
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Classroom Management | |
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Empirical Data Supporting Technology Transfer of the Morningside Model of Generative Instruction | |
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Conclusion | |
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Learning Efficiency Goes to College | |
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Introduction | |
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What is Learning Efficiency? | |
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Three Possible Causes of Poor Learning Efficiencies and Their Solutions | |
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Case Study: Evaluating Learning Efficiencies in a CPSY 101 Course | |
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What the Data Can Tell us about How to Improve Learning Efficiencies | |
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Learning Efficiency Goes to College | |
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Teaching the Generic Skills of Language and Cognition: Contributions from Relational Frame Theory | |
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Introduction | |
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Relational Frame Theory | |
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Defining Derived Relational Responding | |
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Relational Framing | |
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Research in Relational Frame Theory and its Implications for Education | |
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Derived Transformations of Function in Accordance with Symmetry | |
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Teaching Derived Manding | |
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Establishing the Relational Frames of More-Than, Less-Than, and Opposite | |
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Relational Responding and Perspective Taking | |
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Summary and Conclusions | |
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Key Instructional Components of Effective Peer Tutoring for Tutors, Tutees, and Peer Observers | |
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Introduction | |
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Responding, Engagement, and an Effective Teacher Measure | |
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New Experimental Analyses of Components of Effective Tutoring: Brief Reports of Five Studies | |
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(Experiments 1 and 2) | |
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General Discussion | |
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Training Professionals Using Sequential Behavior Analysis | |
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History and Introduction | |
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Technology | |
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A Sequential Analysis Illustration | |
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Providing a Database | |
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Scientific Methods | |
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Participants and Setting | |
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Dependent Measures | |
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Observation Protocol | |
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Inter-Observer Agreement | |
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Experimental Design | |
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General Instructional Feedback Strategy Procedures | |
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Treatment Implementation Training | |
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Treatment Integrity | |
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Study Results | |
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IO and AIA Data | |
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OO and AOA Data | |
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Discrete Pupil Data | |
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Social Validation Data | |
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Implications for Education and Professional Training | |
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A Future for Sequential Behavior Analysis | |
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Grammar and Writing Skills: Applying Behavior Analysis | |
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Neglected Writing Skills | |
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Methods of Teaching Writing | |
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Writing as a Performance | |
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The Behavioral Paradigm | |
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Behavioral Strategies | |
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Shaping | |
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Measurement | |
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Short-Term Feedback | |
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Long-Term Feedback | |
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Discrimination Training | |
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Competition Analysis | |
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The Process of Writing | |
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A Last Word | |
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Index | |