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

• Superior document: IEA Research for Education Series ; v.9
• Author: Neidorf, Teresa.
• TeilnehmendeR: Arora, Alka.; Erberber, Ebru.; Tsokodayi, Yemurai.; Mai, Thanh.
• 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
• Physical Description: 1 online resource (173 pages)

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.