Evidence-Based Educational Methods

Höfundur Moran, Daniel J.; Malott, Richard W.

Útgefandi Elsevier S & T

Snið Page Fidelity

Print ISBN 9780125060417

Útgáfa 0

Útgáfuár

3.590 kr.

Description

Efnisyfirlit

  • Cover
  • Contents
  • Contributors
  • Preface
  • Part 1: Introduction to Evidence-Based Educational Methods
  • Chapter 1. The Need for Evidence-Based Educational Methods
  • Introduction
  • No Child Left Behind
  • Behavior Analysis and Education
  • Chapter 2. Reviewing the Outcomes and Principles of Effective Instruction
  • Introduction
  • Precision Teaching
  • Direct Instruction
  • Programmed Instruction
  • Personalized System of Instruction
  • Summary and Conclusion
  • Chapter 3. A Real Science and Technology of Education
  • Introduction
  • The Need for a Strategic Science of Instruction
  • Components of an Advanced and Sophisticated Science and Technology of Instruction
  • Cabas®: A Systems Technology of Schooling and a Strategic Science of Pedagogy
  • Conclusion
  • Part 2: Precision Teaching
  • Chapter 4. Precision Teaching: Foundations and Classroom Applications
  • Why Precision Teaching?
  • The Chart
  • Example of Precision Teaching Implementation
  • Read a Chart
  • Chart Features
  • Another Chart Example: Middle School
  • Learning/Celeration
  • Precision Teaching’s Place in Teaching and Education
  • Ethics and Precision Teaching Measures in Schools
  • Chapter 5. Precision Teaching: Applications in Education and Beyond
  • Introduction
  • Precision Teaching and Special Education
  • Precision Teaching for Adult Learners in College and Pre-Vocational Training
  • Precision Teaching Applications for Individuals with Various Disabilities
  • Precision Teaching with Thoughts, Urges, and Other ‘‘Inner’’ Phenomena
  • Precision Teaching, Computers, and Internet Resources
  • Conclusions
  • Part 3: Direct Instruction
  • Chapter 6. Direct Instruction: The Big Ideas
  • Introduction
  • Teaching Generalizable Strategies
  • Instructional Programs that Powerfully and Systematically Build Skills
  • Organize Instruction to Maximize High-Quality Instructional Interactions
  • Research Related to Direct Instruction
  • Chapter 7. Teacher-Made Scripted Lessons
  • Introduction
  • Definition of Explicit Instruction
  • Scripted Lessons
  • Orient and Review
  • Presentation of New Content
  • Practice
  • Formal Assessments
  • Positive Outcomes of Scripted Lessons
  • Chapter 8. The Competent Learner Model: A Merging of Applied Behavior Analysis, Direct Instruction,
  • Introduction
  • Applied Behavior Analysis and The Competent Learner Model
  • Direct Instruction and the Competent Learner Model
  • Precision Teaching and the Competent Learner Model
  • The Components of the Competent Learner Model
  • Evidence of the Impact of the Competent Learner Model
  • Part 4: Computers and Teaching Machines
  • Chapter 9. Effective Use of Computers in Instruction
  • Introduction
  • What are the Types of Instructional Software?
  • What are the Features of Effective Instructional Software?
  • What Makes Software Design Effective?
  • What is the Evidence for the Effectiveness of Automated Instruction?
  • How Should Particular Instructional Software be Evaluated?
  • Conclusions
  • Chapter 10. Adaptive Computerized Educational Systems: A Case Study
  • Undergraduate Teaching in the Modern University
  • Undergraduate Teaching in Small Liberal Arts Colleges
  • Computers and Adaptive Instruction
  • Adaptive Control, Teaching, and Learning
  • Adaptive Instruction
  • Adaptive Testing
  • Mediamatrix and its Current Use in Higher Education
  • More on Adaptive Programmed Instruction: Parametrics of How Mediamatrix Works
  • Assess and Certification Modes
  • Instructor Options for Managing Student Contact with the Tutoring System
  • Empirical Research on Mediamatrix Delivered Adaptive Instruction
  • Higher Education’s Four Horsemen of its Apocalypse
  • Conclusion
  • Chapter 11. Selected for Success: How Headsprout Reading Basics’ Teaches Beginning Reading
  • Introduction
  • Key Skills and Strategies Students and Teachers’ Best Friends
  • Learning Methodologies: Foundational and Flexible
  • Embracing the Burden of Proof: Headsprout’s Unparalleled Learner Testing
  • Enabling Evolution: Headsprout’s Recombinant Teaching and Engineering Models
  • Headsprout’s Internet Advantage: Broad Availability and Continuous Improvement
  • Headsprout Reading basics: Empirical Data
  • Instructional Adaptability
  • Learner Performance Data
  • Reading Outcomes
  • Demonstrated Effective
  • Educator Feedback
  • Conclusion
  • Part 5: Personalized System of Instruction
  • Chapter 12. The Personalized System of Instruction: A Flexible and Effective Approach To Mastery Lea
  • Introduction
  • History and Overview
  • Effectiveness
  • Flexibility
  • Implementing PSI in the 21st Century
  • Conclusion
  • Chapter 13. Making the Most of PSI with Computer Technology
  • Introduction
  • Computers in Higher Education
  • A Brief History of CAPSI
  • How CAPSI Utilizes Computer Capabilities
  • Information-Processing Capabilities
  • Refinements of CAPSI
  • The Peer Review System at Work
  • Comparison with Traditional Courses
  • Comparison with Other Computer-Mediated Courses
  • Expanding on Technology
  • Research Studies on CAPSI
  • Part 6: Significant Developments in Evidence-Based Education
  • Chapter 14. The Morningside Model of Generative Instruction: An Integration of Research-Based Practi
  • About Morningside Academy
  • Current Work
  • Morningside Teachers’ Academy
  • Morningside Technology Transfer
  • Philosophical and Empirical Underpinnings
  • Generativity and Contingency Adduction
  • A System of Instruction
  • Establishing Objectives and Analyzing Content
  • Program Placement and Monitoring Based on Continuous Measurement of Performance
  • Classroom Management
  • Empirical Data Supporting Technology Transfer of the Morningside Model of Generative Instruction
  • Conclusion
  • Chapter 15. Learning Efficiency Goes to College
  • Introduction
  • What is Learning Efficiency?
  • Three Possible Causes of Poor Learning Efficiencies and Their Solutions
  • Case Study: Evaluating Learning Ef.ciencies in a CPSY 101 Course
  • What the Data Can Tell us about How to Improve Learning Efficiencies
  • Learning Efficiency Goes to College
  • Chapter 16. Teaching the Generic Skills of Language and Cognition: Contributions from Relational Fra
  • Introduction
  • Relational Frame Theory
  • Research in Relational Frame Theory and its Implications for Education
  • Summary and Conclusions
  • Chapter 17. Key Instructional Components of Effective Peer Tutoring for Tutors, Tutees, and Peer Obs
  • Introduction
  • Responding, Engagement, and an Effective Teacher Measure
  • New Experimental Analyses of Components of Effective Tutoring: Brief Reports of Five Studies
  • General Discussion
  • Chapter 18. Training Professionals Using Sequential Behavior Analysis
  • History and Introduction
  • Scientific Methods
  • Study Results
  • Implications for Education and Professional Training
  • A Future for Sequential Behavior Analysis
  • Chapter 19. Grammar and Writing Skills: Applying Behavior Analysis
  • Neglected Writing Skills
  • Methods of Teaching Writing
  • Writing as a Performance
  • Behavioral Strategies
  • The Process of Writing
  • A Last Word
  • Index
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