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Kim, Soo Jung; Xin, Yan Ping – Learning Disabilities: A Contemporary Journal, 2022
We conducted a comprehensive synthesis of computer-assisted instruction (CAI) research that aimed to facilitate the learning of mathematical word problem solving involving elementary and secondary school students with learning disabilities or difficulties in mathematics. We examined a total of 13 studies under the four instructional categories:…
Descriptors: Computer Assisted Instruction, Word Problems (Mathematics), Problem Solving, Mathematics Instruction
Partnership for Assessment of Readiness for College and Careers, 2017
The Partnership for Assessment of Readiness for College and Careers (PARCC) mathematics items measure critical thinking, mathematical reasoning, and the ability to apply skills and knowledge to real-world problems. Students are asked to solve problems involving the key knowledge and skills for their grade level as identified by the Common Core…
Descriptors: Mathematics Instruction, Mathematics Skills, Critical Thinking, Thinking Skills
Bostic, Jonathan D.; Pape, Stephen J.; Jacobbe, Tim – Investigations in Mathematics Learning, 2016
This teaching experiment provided students with continuous engagement in a problem-solving based instructional approach during one mathematics unit. Three sections of sixth-grade mathematics were sampled from a school in Florida, U.S.A. and one section was randomly assigned to experience teaching through problem solving. Students' problem-solving…
Descriptors: Educational Experiments, Grade 6, Mathematics, Mathematics Instruction
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Edo, Sri Imelda; Hartono, Yusuf; Putri, Ratu Ilma Indra – Indonesian Mathematical Society Journal on Mathematics Education, 2013
The chart of Indonesian student of mathematical ability development in Program for International Student Assessment (PISA) event during the last 4 periods shows an unstable movement. PISA aims to examine the ability of children aged 15 years in reading literacy, mathematics literacy, and science literacy. The concept of mathematical literacy is…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Mathematics, Mathematics Instruction
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
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Xin, Yan Ping; Zhang, Dake – Journal of Educational Research, 2009
The authors explored the effects of teaching conceptual model-based problem-solving instruction on students' ability to solve problems in various situations. Participants were 3 4th-and 5th-grade students with or at risk for mathematics disabilities. The authors used an adapted multiple-probe across-participants design to assess the functional…
Descriptors: Problem Solving, Word Problems (Mathematics), Mathematical Models, Mathematics Skills
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Cheong, Yuk Fai; Fotiu, Randall P.; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2001
Studied the efficiency and robustness of alternative estimators of regression coefficients for three-level data. A simulation study shows that, as expected, the hierarchical model analyses produced more efficient point estimates than did analyses that ignored the covariance structure in the data, even when the normality assumption was violated.…
Descriptors: Estimation (Mathematics), Mathematical Models, Regression (Statistics), Robustness (Statistics)
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Ackerman, Terry A. – Journal of Educational Measurement, 1992
The difference between item bias and item impact and the way they relate to item validity are discussed from a multidimensional item response theory perspective. The Mantel-Haenszel procedure and the Simultaneous Item Bias strategy are used in a Monte Carlo study to illustrate detection of item bias. (SLD)
Descriptors: Causal Models, Computer Simulation, Construct Validity, Equations (Mathematics)
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Marascuilo, Leonard A.; Slaughter, Robert E. – Journal of Educational Measurement, 1981
Six statistical methods for identifying possible sources of bias in standardized test items are presented. The relationship between chi-squared methods and item-response theory methods are also discussed. (Author/BW)
Descriptors: Comparative Analysis, Latent Trait Theory, Mathematical Models, Standardized Tests
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Marsh, Herbert W.; Grayson, David – Journal of Educational Statistics, 1990
Tests for mean differences on latent constructs using the LISREL approach to multigroup structural-equation modeling were demonstrated for High School and Beyond data concerning the sophomore cohort. Senior year achievement test scores for 3,700 public and 300 Catholic school students were compared after controlling for background and sophomore…
Descriptors: Academic Achievement, Achievement Tests, Catholic Schools, Cohort Analysis
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Goldstein, Harvey; Sammons, Pamela – School Effectiveness and School Improvement, 1997
Compares secondary and junior schools' influence on (British) 16 year-olds' performance on the General Certificate in Secondary Education examination. Presents a mathematical model to explain performance variations, using a cohort of 758 students in 48 junior schools and 116 secondary schools. There is a strong continuity of junior school effects…
Descriptors: Academic Achievement, Foreign Countries, Mathematical Models, School Effectiveness
Linn, Robert L. – 1978
The three RMC models endorsed by the U.S. Office of Education for the evaluation of Elementary and Secondary Education Act Title I programs are based on narrowly conceived approaches to evaluation--the measurement of cognitive achievement gains. Each model requires the comparison of observed student performance with an estimate of what level of…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups
Thompson, Tony D.; Pommerich, Mary – 1996
Conditional item independence, also known as local independence, is necessary for the accurate estimation of item parameters within item response theory (IRT). Given that the condition of local independence will be violated to at least some degree when unidimensional models are used to represent multidimensional data, it is important to study the…
Descriptors: Achievement Tests, English, Item Response Theory, Mathematical Models
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Bird, Kevin D. – Educational and Psychological Measurement, 1991
A method is outlined for analysis of the shape of an individual profile of scores on a standardized test battery. The method uses a simultaneous test procedure allowing for an overall test of profile flatness, with follow-up tests on all contrasts of interest. (SLD)
Descriptors: Equations (Mathematics), Hypothesis Testing, Mathematical Models, Profiles
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Marjoribanks, Kevin – Multivariate Behavioral Research, 1976
By using complex multiple regression models to generate regression surfaces, the relationships between academic achievement, creativity, and intelligence are examined. Findings indicate that for certain academic subjects creativity is related to achievement up to a threshold level of intelligence, but after the threshold has been reached…
Descriptors: Academic Achievement, Creativity, Intelligence, Junior High School Students
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