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作者 Michaelides, Michalis P., author
書名 Motivational profiles in TIMSS mathematics : exploring student clusters across countries and time / by Michalis P. Michaelides, Gavin T. L. Brown, Hanna Eklof, Elena C. Papanastasiou
出版項 Cham : Springer International Publishing : Imprint: Springer, 2019
國際標準書號 9783030261832 (electronic bk.)
9783030261825 (paper)
國際標準號碼 10.1007/978-3-030-26183-2 doi
book jacket
說明 1 online resource (xi, 144 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 IEA research for education ; volume 7
IEA research for education ; volume 7
附註 1. Introduction to Motivational Profiles in TIMSS Mathematics -- 2. The Relationship of Motivation with Achievement in Mathematics -- 3. Methodology: Cluster Analysis of Motivation Variables in the TIMSS Data -- 4. Cluster Analysis Results for TIMSS 2015 Mathematics Motivation by Grade and Jurisdiction -- 5. Cluster Analysis Findings Over 20 Years of TIMSS -- 6. Insights from Motivational Profiles in TIMSS Mathematics -- Appendix A -- Appendix B -- Appendix C
Open access
This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries. While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics. Exploiting the richness of IEA's TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation
Host Item Springer Nature eBook
主題 Trends in International Mathematics and Science Study
Mathematics -- Study and teaching
Mathematics -- Study and teaching -- Psychological aspects
Motivation in education
Achievement motivation
Educational evaluation
Assessment, Testing and Evaluation
Educational Psychology
Statistics for Social Sciences, Humanities, Law
International and Comparative Education
Alt Author Brown, Gavin T. L., author
Eklof, Hanna, author
Papanastasiou, Elena C., author
SpringerLink (Online service)
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