Student Misconceptions and Errors in Physics and Mathematics : : Exploring Data from TIMSS and TIMSS Advanced.

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Bibliographic Details
Superior document:IEA Research for Education Series ; v.9
:
TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing AG,, 2019.
Ã2020.
Year of Publication:2019
Edition:1st ed.
Language:English
Series:IEA Research for Education Series
Online Access:
Physical Description:1 online resource (173 pages)
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Table of Contents:
  • Intro
  • Foreword
  • Contents
  • 1 An Introduction to Student Misconceptions and Errors in Physics and Mathematics
  • Abstract
  • 1.1 Introduction
  • 1.2 Defining the Terminology
  • 1.2.1 Performance Objectives
  • 1.2.2 Misconceptions in Physics
  • 1.2.3 Errors in Mathematics
  • 1.2.4 Misunderstandings in Physics and Mathematics
  • 1.3 Core Concepts in Physics and Mathematics
  • 1.4 Research Questions
  • References
  • 2 Review of Research into Misconceptions and Misunderstandings in Physics and Mathematics
  • Abstract
  • 2.1 Introduction
  • 2.2 Diagnostic Models Overview
  • 2.3 Misconceptions in Physics
  • 2.4 Misunderstandings in Mathematics
  • References
  • 3 Methodology Used to Analyze Student Misconceptions, Errors, and Misunderstandings in TIMSS
  • Abstract
  • 3.1 TIMSS and TIMSS Advanced Data
  • 3.2 Methodology
  • 3.2.1 Assessment Framework Review and Content Mapping
  • 3.2.2 Evaluation of Item-Level Performance Data
  • 3.2.3 Reporting Patterns in Percent Correct and Percent with Misconceptions, Errors, and Misunderstandings by Grade, Country, Gender, and Assessment Year
  • 3.2.4 Statistical Comparisons
  • 3.3 Addressing the Research Questions
  • 3.3.1 Research Question 1
  • 3.3.2 Research Question 2
  • 3.3.3 Research Question 3
  • References
  • 4 Results for Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
  • Abstract
  • 4.1 Introduction
  • 4.2 Physics Results
  • 4.2.1 Student Performance on TIMSS and TIMSS Advanced Items Related to Gravity
  • 4.2.2 Common Types of Misconceptions and Misunderstandings Related to Gravity Across Countries
  • 4.2.3 Patterns in Misconceptions and Misunderstandings Related to Gravity Across Grade Levels and Countries
  • 4.2.4 Gender Differences in Misconceptions and Misunderstandings Related to Gravity.
  • 4.2.5 Patterns in Misconceptions and Misunderstandings Related to Gravity Over Time
  • 4.2.6 Summary of Physics Results
  • 4.3 Mathematics Results
  • 4.3.1 Student Performance on TIMSS and TIMSS Advanced Items Related to Linear Equations
  • 4.3.2 Common Types of Errors and Misunderstandings Related to Linear Equations Across Countries
  • 4.3.3 Patterns in Errors and Misunderstandings Related to Linear Equations Across Grade Levels and Countries
  • 4.3.4 Gender Differences in Errors and Misunderstandings Related to Linear Equations
  • 4.3.5 Patterns in Errors and Misunderstandings Related to Linear Equations Over Time
  • 4.3.6 Summary of Mathematics Results
  • References
  • 5 Conclusions About Using TIMSS and TIMSS Advanced Data to Explore Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
  • Abstract
  • 5.1 Summary of Results Across Physics and Mathematics
  • 5.1.1 Patterns in Misconceptions, Errors, and Misunderstandings Across Countries and Grades
  • 5.1.2 Gender Differences in Misconceptions, Errors, and Misunderstandings
  • 5.1.3 Trends in Patterns of Misconceptions, Errors, and Misunderstandings Over Time
  • 5.2 Limitations and Further Applications of the Methodology
  • 5.3 Implications Related to Instruction
  • 5.4 Implications for Future TIMSS Assessment Design and Reporting
  • References
  • Appendix: Technical Documentation and Syntax
  • A.1 Data Considerations for the Study
  • Outline placeholder
  • A.1.1 Considerations for 1995 Data
  • A.1.2 Considerations for 1999 Data
  • A.1.3 Considerations for 2008 Data
  • A.1.4 Considerations for 2015 Data
  • A.2 Value Labels and Misconception/Error/Misunderstanding Codes Used for Analyses of Physics and Mathematics Items
  • A.3 Syntax Used to Recode Variables
  • A.4 Calculating Item Statistics
  • Outline placeholder
  • A.4.1 More on the IDB Analyzer.
  • A.4.2 More on the EdSurvey R package
  • A.5 Calculating Gender Differences
  • Par106.