What works where? The relationship between instructional variables and schools' mean scores in mathematics and science in low-, medium-, and high-achieving countries
Background The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associat...
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description | Background
The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associated with achievement) but whether they "work" similarly in the three groups of countries.
Method
Hierarchical multilevel regressions analysis was employed to explore the relationships between frequent use ofcertain instructional practices in mathematics and science and schools' learning outcomes in these areas, in low-, medium-, and high- achieving countries.
Results
In both school subjects, traditional modes of instruction (teacher-centered) were found to be positively and significantly associated with achievement in all countries, while more constructive modes of instruction (student-centered) showed a differential effect. The frequent implementation of more student-centered modes was found to be positively associated with learning outcomes in high- and medium-achieving countries, but negatively associated in low-achieving countries.
Conclusion
The findings confirm conclusions in other studies that replacing teacher-centered traditional practices with more student-centered practices will not necessarily result in more learning for all students. Constructivist practices will be more beneficial for students only in high-achieving countries. |
doi_str_mv | 10.1186/2196-0739-1-2 |
format | Article |
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The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associated with achievement) but whether they "work" similarly in the three groups of countries.
Method
Hierarchical multilevel regressions analysis was employed to explore the relationships between frequent use ofcertain instructional practices in mathematics and science and schools' learning outcomes in these areas, in low-, medium-, and high- achieving countries.
Results
In both school subjects, traditional modes of instruction (teacher-centered) were found to be positively and significantly associated with achievement in all countries, while more constructive modes of instruction (student-centered) showed a differential effect. The frequent implementation of more student-centered modes was found to be positively associated with learning outcomes in high- and medium-achieving countries, but negatively associated in low-achieving countries.
Conclusion
The findings confirm conclusions in other studies that replacing teacher-centered traditional practices with more student-centered practices will not necessarily result in more learning for all students. Constructivist practices will be more beneficial for students only in high-achieving countries.</description><identifier>ISSN: 2196-0739</identifier><identifier>EISSN: 2196-0739</identifier><identifier>DOI: 10.1186/2196-0739-1-2</identifier><language>eng</language><publisher>New York: Springer New York</publisher><subject>Academic Achievement ; Achievement Tests ; Assessment ; Conventional Instruction ; Correlation ; Cross Cultural Studies ; Education ; Educational Environment ; Educational Policy ; Educational Policy and Politics ; Educational Practices ; Educational Theories ; Elementary Secondary Education ; Foreign Countries ; Hierarchical Linear Modeling ; Humanities ; International Assessment ; Law ; Mathematics Achievement ; Mathematics education ; Mathematics Instruction ; Mathematics Tests ; Outcomes of Education ; Questionnaires ; Regression (Statistics) ; School Effectiveness ; Science Achievement ; Science education ; Science Instruction ; Science Tests ; Statistical Analysis ; Statistics for Social Sciences ; Student Centered Learning ; Studies ; Teaching Methods ; Testing and Evaluation</subject><ispartof>Large-scale assessments in education, 2013-12, Vol.1 (1), p.1, Article 2</ispartof><rights>Zuzovsky; licensee Springer. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>The Author(s) 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-d35b94db85f71b2398255299e1107aad513664593f10d866c59dc05a3c8919853</citedby><cites>FETCH-LOGICAL-c365t-d35b94db85f71b2398255299e1107aad513664593f10d866c59dc05a3c8919853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1186/2196-0739-1-2$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://doi.org/10.1186/2196-0739-1-2$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,27923,27924,41119,42188,51575</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1182164$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Zuzovsky, Ruth</creatorcontrib><title>What works where? The relationship between instructional variables and schools' mean scores in mathematics and science in low-, medium-, and high-achieving countries</title><title>Large-scale assessments in education</title><addtitle>Large-scale Assess Educ</addtitle><description>Background
The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associated with achievement) but whether they "work" similarly in the three groups of countries.
Method
Hierarchical multilevel regressions analysis was employed to explore the relationships between frequent use ofcertain instructional practices in mathematics and science and schools' learning outcomes in these areas, in low-, medium-, and high- achieving countries.
Results
In both school subjects, traditional modes of instruction (teacher-centered) were found to be positively and significantly associated with achievement in all countries, while more constructive modes of instruction (student-centered) showed a differential effect. The frequent implementation of more student-centered modes was found to be positively associated with learning outcomes in high- and medium-achieving countries, but negatively associated in low-achieving countries.
Conclusion
The findings confirm conclusions in other studies that replacing teacher-centered traditional practices with more student-centered practices will not necessarily result in more learning for all students. Constructivist practices will be more beneficial for students only in high-achieving countries.</description><subject>Academic Achievement</subject><subject>Achievement Tests</subject><subject>Assessment</subject><subject>Conventional Instruction</subject><subject>Correlation</subject><subject>Cross Cultural Studies</subject><subject>Education</subject><subject>Educational Environment</subject><subject>Educational Policy</subject><subject>Educational Policy and Politics</subject><subject>Educational Practices</subject><subject>Educational Theories</subject><subject>Elementary Secondary Education</subject><subject>Foreign Countries</subject><subject>Hierarchical Linear Modeling</subject><subject>Humanities</subject><subject>International Assessment</subject><subject>Law</subject><subject>Mathematics Achievement</subject><subject>Mathematics education</subject><subject>Mathematics Instruction</subject><subject>Mathematics Tests</subject><subject>Outcomes of Education</subject><subject>Questionnaires</subject><subject>Regression (Statistics)</subject><subject>School Effectiveness</subject><subject>Science Achievement</subject><subject>Science education</subject><subject>Science Instruction</subject><subject>Science Tests</subject><subject>Statistical Analysis</subject><subject>Statistics for Social Sciences</subject><subject>Student Centered Learning</subject><subject>Studies</subject><subject>Teaching Methods</subject><subject>Testing and Evaluation</subject><issn>2196-0739</issn><issn>2196-0739</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkUFrHCEUx4fSQkOaY48FoYdcauobV1dPIYRNmhDoJaVHcZy3q-msbnQmSz5Qv2cdtg059KLv-fvxF59N8xHYGYCSX1vQkrIl1xRo-6Y5eunfvqrfNyelPDDGgC9aEOqo-f3T25HsU_5VyN5jxnNy75FkHOwYUiw-7EiH4x4xkhDLmCc3n9uBPNkcbDdgITb2pDif0lBOyRZtrF3KFYRItnb0WJfg_nkBo8MZDWlPv1S_D9O2FjP1YeOpdT7gU4gb4tIUxxywfGjere1Q8OTvftz8uFrdX36jd9-vby4v7qjjUoy056LTi75TYr2EruVatUK0WiMAW1rbC-BSLoTma2C9ktIJ3TsmLHdKg1aCHzefD7m7nB4nLKN5SFOury0GZE1aKqXaatGD5XIqJePa7HLY2vxsgJn5M8w8cDMP3ICZ_U8HH3NwL-7qtqotyEXlZwdeKosbzK9u_W_gH8SRlXQ</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Zuzovsky, Ruth</creator><general>Springer New York</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88B</scope><scope>8A4</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>PIMPY</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20131201</creationdate><title>What works where? The relationship between instructional variables and schools' mean scores in mathematics and science in low-, medium-, and high-achieving countries</title><author>Zuzovsky, Ruth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-d35b94db85f71b2398255299e1107aad513664593f10d866c59dc05a3c8919853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Academic Achievement</topic><topic>Achievement Tests</topic><topic>Assessment</topic><topic>Conventional Instruction</topic><topic>Correlation</topic><topic>Cross Cultural Studies</topic><topic>Education</topic><topic>Educational Environment</topic><topic>Educational Policy</topic><topic>Educational Policy and Politics</topic><topic>Educational Practices</topic><topic>Educational Theories</topic><topic>Elementary Secondary Education</topic><topic>Foreign Countries</topic><topic>Hierarchical Linear Modeling</topic><topic>Humanities</topic><topic>International Assessment</topic><topic>Law</topic><topic>Mathematics Achievement</topic><topic>Mathematics education</topic><topic>Mathematics Instruction</topic><topic>Mathematics Tests</topic><topic>Outcomes of Education</topic><topic>Questionnaires</topic><topic>Regression (Statistics)</topic><topic>School Effectiveness</topic><topic>Science Achievement</topic><topic>Science education</topic><topic>Science Instruction</topic><topic>Science Tests</topic><topic>Statistical Analysis</topic><topic>Statistics for Social Sciences</topic><topic>Student Centered Learning</topic><topic>Studies</topic><topic>Teaching Methods</topic><topic>Testing and Evaluation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zuzovsky, Ruth</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Education Periodicals</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Education Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Large-scale assessments in education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zuzovsky, Ruth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1182164</ericid><atitle>What works where? The relationship between instructional variables and schools' mean scores in mathematics and science in low-, medium-, and high-achieving countries</atitle><jtitle>Large-scale assessments in education</jtitle><stitle>Large-scale Assess Educ</stitle><date>2013-12-01</date><risdate>2013</risdate><volume>1</volume><issue>1</issue><spage>1</spage><pages>1-</pages><artnum>2</artnum><issn>2196-0739</issn><eissn>2196-0739</eissn><abstract>Background
The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associated with achievement) but whether they "work" similarly in the three groups of countries.
Method
Hierarchical multilevel regressions analysis was employed to explore the relationships between frequent use ofcertain instructional practices in mathematics and science and schools' learning outcomes in these areas, in low-, medium-, and high- achieving countries.
Results
In both school subjects, traditional modes of instruction (teacher-centered) were found to be positively and significantly associated with achievement in all countries, while more constructive modes of instruction (student-centered) showed a differential effect. The frequent implementation of more student-centered modes was found to be positively associated with learning outcomes in high- and medium-achieving countries, but negatively associated in low-achieving countries.
Conclusion
The findings confirm conclusions in other studies that replacing teacher-centered traditional practices with more student-centered practices will not necessarily result in more learning for all students. Constructivist practices will be more beneficial for students only in high-achieving countries.</abstract><cop>New York</cop><pub>Springer New York</pub><doi>10.1186/2196-0739-1-2</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Academic Achievement Achievement Tests Assessment Conventional Instruction Correlation Cross Cultural Studies Education Educational Environment Educational Policy Educational Policy and Politics Educational Practices Educational Theories Elementary Secondary Education Foreign Countries Hierarchical Linear Modeling Humanities International Assessment Law Mathematics Achievement Mathematics education Mathematics Instruction Mathematics Tests Outcomes of Education Questionnaires Regression (Statistics) School Effectiveness Science Achievement Science education Science Instruction Science Tests Statistical Analysis Statistics for Social Sciences Student Centered Learning Studies Teaching Methods Testing and Evaluation |
title | What works where? The relationship between instructional variables and schools' mean scores in mathematics and science in low-, medium-, and high-achieving countries |
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