文章基本信息

标题：Influences of School Climate and Teacher’s Behavior on Student’s Competencies in Mathematics and the Territorial Gap between Italian Macro-areas in PISA 2012
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作者：Giuseppe Bove ; Daniela Marella ; Vincenzina Vitale 等
期刊名称：Journal of Educational, Cultural and Psychological Studies (ECPS Journal)
印刷版ISSN：2037-7924
出版年度：2016
卷号：1
期号：13
页码：63-96
语种：English
出版社：LED Edizioni Universitarie
摘要：In this study the effects of school and classroom climate and teacher’s behavior on Italian students’ mathematical achievement score in PISA 2012 were investigated. Simple and scale indices provided by the PISA database, constructed by responses from the students’ and principals’ background questionnaires, were considered as predictive variables of the math achievement scores. Multilevel models including all the predictive variables, controlling for some relevant student, family background and school variables, confirmed that perceptions of school and classroom climate and teachers’ behavior influence mathematics performance in PISA. In particular, the effect of the teacher’s use of cognitive activation strategies had the strongest positive effect, followed by the school and classroom climate indicators. Thus, more cognitively activating instruction and an orderly and peaceful atmosphere in schools and classrooms encourage students and help to transform existing interests into mathematic achievement. Our analyses show that these factors can also influence the gap between Northern and Southern Italian macro-areas. When the predictive variables are added to the control variables in our multilevel models including macro-area indicators, the gap between Northern macro-areas and the Southern-Islands decreases by over twenty per cent, and the gap between Northern macro-areas and the Southern by over fourteen per cent. On the basis of these results, we have provided some useful indications for Italian educators and policy makers.
其他摘要：In this study the effects of school and classroom climate and teacher’s behavior on Italian students’ mathematical achievement score in PISA 2012 were investigated. Simple and scale indices provided by the PISA database, constructed by responses from the students’ and principals’ background questionnaires, were considered as predictive variables of the math achievement scores. Multilevel models including all the predictive variables, controlling for some relevant student, family background and school variables, confirmed that perceptions of school and classroom climate and teachers’ behavior influence mathematics performance in PISA. In particular, the effect of the teacher’s use of cognitive activation strategies had the strongest positive effect, followed by the school and classroom climate indicators. Thus, more cognitively activating instruction and an orderly and peaceful atmosphere in schools and classrooms encourage students and help to transform existing interests into mathematic achievement. Our analyses show that these factors can also influence the gap between Northern and Southern Italian macro-areas. When the predictive variables are added to the control variables in our multilevel models including macro-area indicators, the gap between Northern macro-areas and the Southern-Islands decreases by over twenty per cent, and the gap between Northern macro-areas and the Southern by over fourteen per cent. On the basis of these results, we have provided some useful indications for Italian educators and policy makers.
关键词：Mathematical achievement;Multilevel models;PISA;School climate;Territorial gap