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Showing 1 to 15 of 19 results Save | Export
Gervasoni, Ann; Giumelli, Kerry; Flanagan, Linda; Downton, Ann; Roche, Anne; Wallis, Owen – Mathematics Education Research Group of Australasia, 2023
Typically, more primary students qualify for mathematics intervention support than schools have the capacity to assist. This highlights the importance of every primary mathematics teacher having the expertise to design inclusive and responsive curricula and instruction for students who may experience difficulty. Our study addresses this issue…
Descriptors: Specialists, Intervention, Faculty Development, Mathematics Instruction
Blanden, Jo; Doepke, Matthias; Stuhler, Jan – Centre for Economic Performance, 2022
This paper provides new evidence on educational inequality and reviews the literature on the causes and consequences of unequal education. We document large achievement gaps between children from different socio-economic backgrounds, show how patterns of educational inequality vary across countries, time, and generations, and establish a link…
Descriptors: Equal Education, Socioeconomic Status, Social Mobility, Economic Factors
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Krskova, Hana; Baumann, Chris – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate…
Descriptors: Foreign Countries, Competition, Academic Achievement, Least Squares Statistics
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Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
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Arikan, Serkan; van de Vijver, Fons J. R.; Yagmur, Kutlay – International Journal of Research in Education and Science, 2018
We examined Differential Item Functioning (DIF) and the size of cross-cultural performance differences in the Programme for International Student Assessment (PISA) 2012 mathematics data before and after application of propensity score matching. The mathematics performance of Indonesian, Turkish, Australian, and Dutch students on released items was…
Descriptors: Probability, Test Bias, Mathematics Instruction, Foreign Countries
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Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Dalege, Jonas; Raijmakers, Maartje E. J. – Australian Journal of Education, 2020
Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International…
Descriptors: Adolescents, Grade 10, Grade 12, High School Students
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
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Parker, Philip D.; Marsh, Herbert W.; Guo, Jiesi; Anders, Jake; Shure, Nikki; Dicke, Theresa – Journal of Educational Psychology, 2018
In this paper, we develop an information distortion model (IDM) of social class differences in self-beliefs and values. The IDM combines psychological biases on frame-of-reference effects with sociological foci on ability stratification. This combination is hypothesized to lead to working-class children having more positive math self-beliefs and…
Descriptors: Case Studies, Academic Aspiration, Social Class, Longitudinal Studies
Hirsch, Christian R., Ed.; McDuffie, Amy Roth, Ed. – National Council of Teachers of Mathematics, 2016
Mathematical modeling plays an increasingly important role both in real-life applications--in engineering, business, the social sciences, climate study, advanced design, and more--and within mathematics education itself. This 2016 volume of "Annual Perspectives in Mathematics Education" ("APME") focuses on this key topic from a…
Descriptors: Mathematics Education, Mathematical Models, Mathematics Instruction, STEM Education
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Castejón, Alba; Zancajo, Adrián – European Educational Research Journal, 2015
This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores…
Descriptors: Disadvantaged, Educational Policy, Educational Practices, Individualized Programs
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Marsh, Herbert W.; Abduljabbar, Adel Salah; Morin, Alexandre J. S.; Parker, Philip; Abdelfattah, Faisal; Nagengast, Benjamin; Abu-Hilal, Maher M. – Journal of Educational Psychology, 2015
Extensive support for the seemingly paradoxical negative effects of school- and class-average achievement on academic self-concept (ASC)-the big-fish-little-pond effect (BFLPE)--is based largely on secondary students in Western countries or on cross-cultural Program for International Student Assessment studies. There is little research testing the…
Descriptors: Self Concept, Secondary School Students, Social Influences, Elementary School Students
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Douglass Gosse; Steven Arnocky – in education, 2012
In the new millennium, international interest has developed on the trouble of boys, both in and out of school, with a particular focus on boys' deficiencies in literacy skills. This interest has prompted research and action plans in Australia, Great Britain, the United States, and to a more regionalized or provincial capacity within Canada, such…
Descriptors: Foreign Countries, Males, Children, Literacy
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Dardanoni, Valentino; Modica, Salvatore; Pennisi, Aline – Education Economics, 2011
We study how the relationship between students' cognitive ability and their school grades depends on institutional contexts. In a simple abstract model, we show that unless competence standards are set at above-school level or the variation of competence across schools is low, students' competence valuation will be heterogeneous, with weaker…
Descriptors: Foreign Countries, Cognitive Ability, Academic Achievement, Student Evaluation
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Bulle, Nathalie – Comparative Education, 2011
The PISA survey influences educational policies through an international competitive process which is not wholly rationally-oriented. Firstly, PISA league tables act normatively upon the definition of formal educational aims while the survey tests cannot evaluate the educational systems' relative strengths with regards to such aims. We argue that…
Descriptors: Foreign Countries, Educational Policy, Educational Assessment, Competition
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