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Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
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Stohlmann, Micah; Maiorca, Cathrine; Allen, Charlie – Mathematics Teacher Education and Development, 2017
This case study investigated how three teachers developed mathematical modelling activities integrated with content standards through participation in a course on mathematical modelling. The class activities involved experiencing a mathematical modelling activity, reading and rating example mathematical modelling activities, reading articles about…
Descriptors: Case Studies, Mathematical Models, Mathematics Instruction, Learning Activities
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van der Hoff, Quay – International Journal of Mathematical Education in Science and Technology, 2017
The science of biology has been transforming dramatically and so the need for a stronger mathematical background for biology students has increased. Biological students reaching the senior or post-graduate level often come to realize that their mathematical background is insufficient. Similarly, students in a mathematics programme, interested in…
Descriptors: Biology, Mathematics Instruction, Technology Education, Interdisciplinary Approach
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Lee, Kilho; Comolli, Noelle K.; Kelly, William J.; Huang, Zuyi – Chemical Engineering Education, 2015
Mathematical models play an important role in biochemical engineering. For example, the models developed in the field of systems biology have been used to identify drug targets to treat pathogens such as Pseudomonas aeruginosa in biofilms. In addition, competitive binding models for chromatography processes have been developed to predict expanded…
Descriptors: Chemical Engineering, Biochemistry, College Science, Science Instruction
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Michelsen, Claus – Physics Education, 2015
Mathematics plays a crucial role in physics. This role is brought about predominantly through the building, employment, and assessment of mathematical models, and teachers and educators should capture this relationship in the classroom in an effort to improve students' achievement and attitude in both physics and mathematics. But although there…
Descriptors: Science Instruction, Physics, Mathematical Models, Mathematics
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Fox, William – Journal of Computers in Mathematics and Science Teaching, 2012
The purpose of our modeling effort is to predict future outcomes. We assume the data collected are both accurate and relatively precise. For our oscillating data, we examined several mathematical modeling forms for predictions. We also examined both ignoring the oscillations as an important feature and including the oscillations as an important…
Descriptors: Foreign Countries, Mathematical Models, War, Data Analysis
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Rodgers, Joseph Lee – American Psychologist, 2010
A quiet methodological revolution, a modeling revolution, has occurred over the past several decades, almost without discussion. In contrast, the 20th century ended with contentious argument over the utility of null hypothesis significance testing (NHST). The NHST controversy may have been at least partially irrelevant, because in certain ways the…
Descriptors: Epistemology, Mathematical Models, Hypothesis Testing, Statistical Significance
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Mandela, Ravi Kumar; Sridhar, L. N.; Rengaswamy, Raghunathan – Chemical Engineering Education, 2010
Models play an important role in understanding chemical engineering systems. While differential equation models are taught in standard modeling and control courses, Differential Algebraic Equation (DAE) system models are not usually introduced. These models appear naturally in several chemical engineering problems. In this paper, the introduction…
Descriptors: Chemical Engineering, Engineering Education, Mathematical Models, Calculus
Cai, Jinfa, Ed. – National Council of Teachers of Mathematics, 2017
This volume, a comprehensive survey and critical analysis of today's issues in mathematics education, distills research to build knowledge and capacity in the field. The compendium is a valuable new resource that provides the most comprehensive evidence about what is known about research in mathematics education. The 38 chapters present five…
Descriptors: Mathematics Education, Educational Research, Educational Trends, Trend Analysis
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Perrenet, Jacob; Adan, Ivo – Mathematics Education Research Journal, 2010
Modelling is an important subject in the Bachelor curriculum of Applied Mathematics at Eindhoven University of Technology in the Netherlands. Students not only learn how to apply their knowledge to solve mathematical problems posed in non-mathematical language, but also they learn to look actively for, or even construct, mathematical knowledge…
Descriptors: Mathematics Education, Foreign Countries, Case Studies, College Mathematics