Boris Korsunsky

Harvard Graduate School of Education

Cognitive Mechanisms of Solving Non-Trivial Physics Problems

2003

TABLE OF CONTENTS

 

Acknowledgments
               Summary
               Introduction.
The context of the question
Research questions and hypothesis
Terminology
               
               Chapter 1: Literature Review 
               Good problems
               A good problem: what is it?
The lack of "good" problems and its effects on problem-solving
               Cognition of Solving
               Student misconceptions
Differences between experts and novices in problem solving
               Teaching to Solve
               The "cookbook" strategies
The "thinking skills" strategies
               
               Chapter 2: Design of the Study
               Rationale
               The BARK theory: bisociation and rigid knowledge as two
salient components of problem-solving in physics
               Design of the study
               Introduction
Research sample
The tasks
Data collection process
Validity issues
The sample
The tasks
Task delivery
The interview process
Data analysis
               
               Chapter 3: Summary of Results and Data Analysis
               Introduction
               Background questionnaires and CyberTutor tasks: statistical analysis
               Descriptive statistics
The gender factor
Regression analysis: model-building methods
Regression analysis: no-interaction models
Regression analysis: two-way interactions
The "last-straw" statistics
Free-response task solving success: internal validity check
CyberTutor tasks: written comments
               Results: student interviews
               Correlational analysis
Problem-solving approaches
The dogs that did not bark
               
               Chapter 4: BARK Now, BITE Later: Discussion And Conclusions
               Introduction
CyberTutor tasks: discussion
Research methodology
Statistical evidence
Student comments
Student interviews: discussion
The general structure of the problem-solving processes
demonstrated by the participants
Bisociation and rigid knowledge: their role in the solving processes
               Conclusions
               Educational research
Teacher training
Curriculum development
Classroom teaching
Future research
Development of research methodology
Possible focus of future studies
The final word
               
               Appendices
               Appendix A Background Questionnaire
Appendix B Initial Recruitment Letter
Appendix C Mechanics Diagnostic Test (downloadable version)
               Appendix D CyberTutor Open-Response Tasks
               Appendix E Various Screen Views of a CyberTutor Problem
Appendix F Problems Used for Student Interviews
               Appendix G Examples of Student Interview Protocols (annotated)
Appendix H Pearson Correlation Coefficients
               
               Bibliography