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Takashi Kawakami; Akihiko Saeki – Mathematics Education Research Group of Australasia, 2024
This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…
Descriptors: Mathematical Models, Statistical Analysis, Data Use, Prediction
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Iskenderoglu, Tuba Aydogdu – Educational Research and Reviews, 2017
Students have difficulties in solving problems of fractions in almost all levels, and in problem posing. Problem posing skills influence the process of development of the behaviors observed at the level of comprehension. That is why it is very crucial for teachers to develop activities for student to have conceptual comprehension of fractions and…
Descriptors: Subtraction, Fractions, Elementary School Students, Elementary School Mathematics
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Polotskaia, Elena; Savard, Annie – Research in Mathematics Education, 2018
Pupils' difficulties in solving word problems continue to attract attention: while researchers highlight the importance of relational reasoning and modelling, school curricula typically use short word problems to develop pupils' knowledge of arithmetic operations and calculation strategies. The Relational Paradigm attributes the leading role in…
Descriptors: Mathematics Instruction, Problem Solving, Grade 2, Experimental Groups
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Arikan, Elif Esra; Ünal, Hasan – Educational Sciences: Theory and Practice, 2015
This study aims to examine the effect of multiple problem-solving skills on the problem-posing abilities of gifted and non-gifted students and to assess whether the possession of such skills can predict giftedness or affect problem-posing abilities. Participants' metaphorical images of problem posing were also explored. Participants were 20 gifted…
Descriptors: Problem Solving, Grade 7, Foreign Countries, Academically Gifted
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Massetti, Greta M.; Crean, Hugh; Johnson, Deborah; DuBois, David; Ji, Peter – Journal of Research in Character Education, 2009
Interventions that aim to promote social competence, reduce problem behavior, and improve school climate are common at all levels of schooling. This whole-school focus, coupled with researchers' concerns about contamination or spillover effects in evaluations that randomly assign classrooms or students to conditions, as well as advances in…
Descriptors: Intervention, Prevention, Recruitment, Interpersonal Competence
Johnson, Eugene – 1989
The 1990 National Assessment of Educational Progress (NAEP) will mark the first time that state-level comparisons will be possible with NAEP data. The 1990 data will contain, as a trial component, state-level assessments of eighth graders in mathematics. Mathematics and reading comparisons for fourth graders will be added in 1992. Statistical…
Descriptors: Achievement Tests, Demography, Elementary Education, Elementary School Students
van der Linden, Wim J. – 1988
Several models for optimizing incomplete sample designs with respect to information on the item parameters are presented. The following cases are considered: (1) known ability parameters; (2) unknown ability parameters; (3) item sets with multiple ability scales; and (4) response models with multiple item parameters. The models are able to cope…
Descriptors: Ability Identification, Computer Assisted Testing, Elementary Education, Elementary School Students
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Davey, Beth; Macready, George B. – Applied Measurement in Education, 1990
The usefulness of latent class modeling in addressing several measurement issues is demonstrated via a study of 74 good and 74 poor readers in grades 5 and 6. Procedures were particularly useful for assessing the hierarchical relation among skills and for exploring issues related to item domains. (SLD)
Descriptors: Comparative Testing, Elementary School Students, Grade 5, Grade 6
Williams, John D.; And Others – 1972
Two methods of reading instruction (homogeneous grouping and graded classes) are compared for 165 students in 8 rural North Dakota schools by raw gain scores, residual gain scores, and the analysis of covariance. (CK)
Descriptors: Analysis of Covariance, Classes (Groups of Students), Comparative Analysis, Correlation