國立高雄大學圖資館 |

Language: English

Back

Motivational profiles in TIMSS mathe...

Michaelides, Michalis P.

Motivational profiles in TIMSS mathematicsexploring student clusters across countries and time /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Motivational profiles in TIMSS mathematicsby Michalis P. Michaelides ... [et al.].
Reminder of title:	exploring student clusters across countries and time /
other author:	Michaelides, Michalis P.
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 144 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	MathematicsStudy and teaching.
Online resource:	https://doi.org/10.1007/978-3-030-26183-2
ISBN:	9783030261832$q(electronic bk.)

Motivational profiles in TIMSS mathematicsexploring student clusters across countries and time /
Motivational profiles in TIMSS mathematicsexploring student clusters across countries and time /[electronic resource] :by Michalis P. Michaelides ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 144 p. :ill., digital ;24 cm. - IEA research for education ;v.7. - IEA research for education ;v.1..

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.

ISBN: 9783030261832$q(electronic bk.)

Standard No.: 10.1007/978-3-030-26183-2doiSubjects--Corporate Names:

878565
Trends in International Mathematics and Science Study.
Subjects--Topical Terms:

189978
Mathematics
--Study and teaching.

LC Class. No.: QA11.2 / .M53 2019

Dewey Class. No.: 510.71

Motivational profiles in TIMSS mathematicsexploring student clusters across countries and time /
LDR:03148nmm a2200349 a 4500 001 587067
003 DE-He213
005 20200701150946.0
006 m d
007 cr nn 008maaau
008 210326s2019 sz s 0 eng d
020 $a 9783030261832$q(electronic bk.)
020 $a 9783030261825$q(paper)
024 7 $a 10.1007/978-3-030-26183-2 $2 doi
035 $a 978-3-030-26183-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA11.2 $b .M53 2019
072 7 $a JNKD $2 bicssc
072 7 $a EDU011000 $2 bisacsh
072 7 $a JNDH $2 thema
082 0 4 $a 510.71 $2 23
090 $a QA11.2 $b .M918 2019
245 0 0 $a Motivational profiles in TIMSS mathematics $h [electronic resource] : $b exploring student clusters across countries and time / $c by Michalis P. Michaelides ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 144 p. : $b ill., digital ; $c 24 cm.
490 1 $a IEA research for education ; $v v.7
505 0 $a 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.
506 $a Open access.
520 $a 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.
610 2 0 $a Trends in International Mathematics and Science Study. $3 878565
650 0 $a Mathematics $x Study and teaching. $3 189978
650 0 $a Mathematics $x Study and teaching $x Psychological aspects. $3 396798
650 0 $a Motivation in education. $3 215909
650 0 $a Achievement motivation. $3 214764
650 0 $a Educational evaluation. $3 180577
650 1 4 $a Assessment, Testing and Evaluation. $3 274753
650 2 4 $a Educational Psychology. $3 348569
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 825904
650 2 4 $a International and Comparative Education. $3 338769
700 1 $a Michaelides, Michalis P. $3 878566
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a IEA research for education ; $v v.1. $3 740763
856 4 0 $u https://doi.org/10.1007/978-3-030-26183-2
950 $a Education (SpringerNature-41171)