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Motivational Profiles in TIMSS Mathematics: Exploring Student Clusters Across Countries and Time
ISBN: 3030261824 ;ISBN: 9783030261825 ;ISBN: 9783030261832 ;ISBN: 3030261832 ;EISBN: 9783030261832 ;EISBN: 3030261832 ;DOI: 10.1007/978-3-030-26183-2 ;OCLC: 1132420987
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Title:
Motivational Profiles in TIMSS Mathematics: Exploring Student Clusters Across Countries and Time
Author:
Michaelides, Michalis P
;
Brown, Gavin T. L
;
Eklöf, Hanna
;
Papanastasiou, Elena C
Subjects:
Achievement motivation
;
Assessment
;
beteendevetenskapliga mätningar
;
Cluster analysis
;
Comparative education
;
didactics of educational measurement
;
Education
;
Education: examinations and assessment
;
Educational evaluation
;
Educational psychology
;
Educational systems and structures
;
Education—Psychology
;
International education
;
Mathematics
;
Mathematics achievement
;
Mathematics curriculum
;
Mathematics education
;
Mathematics teachers
;
Mathematics teaching
;
Motivation
;
Motivation in education
;
Secondary education
;
Secondary school mathematics
;
Social research and statistics
;
Society and Social Sciences
;
Sociology
;
Sociology and anthropology
;
Statistics
;
Student motivation
;
thema EDItEUR
;
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
;
thema EDItEUR::J Society and Social Sciences::JN Education
;
thema EDItEUR::J Society and Social Sciences::JN Education::JNC Educational psychology
;
thema EDItEUR::J Society and Social Sciences::JN Education::JND Educational systems and structures::JNDH Education: examinations and assessment
;
Trends in International Mathematics and Science Study (TIMSS)
Description:
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.
Related Titles:
IEA Research for Education
Publisher:
Cham: Springer Nature
Creation Date:
2019
Format:
144
Language:
English
Identifier:
ISBN: 3030261824
ISBN: 9783030261825
ISBN: 9783030261832
ISBN: 3030261832
EISBN: 9783030261832
EISBN: 3030261832
DOI: 10.1007/978-3-030-26183-2
OCLC: 1132420987
Source:
SWEPUB Freely available online
OAPEN
DOAB: Directory of Open Access Books
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