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Effect of Teaching with Mathematical Modeling on Students' Mathematics Achievements: A Meta-Analysis
Veli Ünlü; Erhan Ertekin – International Journal of Assessment Tools in Education, 2025
Considering its relationships with real life and mathematics, mathematical modeling is one of the most effective ways of learning and teaching mathematics. In this study, the effect of teaching with mathematical modeling on students' mathematics achievement was examined using the meta-analysis method. An effect size of 51 was achieved with 45…
Descriptors: Mathematical Models, Mathematics Instruction, Mathematics Achievement, Teaching Methods
Ramírez-Montoya, María-Soledad, Ed. – IGI Global, 2017
Educational strategies have evolved over the years, due to research breakthroughs and the application of technology. By using the latest learning innovations, curriculum and instructional design can be enhanced and strengthened. The "Handbook of Research on Driving STEM Learning with Educational Technologies" is an authoritative…
Descriptors: Guides, STEM Education, Educational Technology, Foreign Countries
Peer reviewedYeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
Presented is an example meant to enable students with a scant mathematical education to grasp the meaning of the limit of the binomial distribution. (Author/TG)
Descriptors: Higher Education, Mathematical Concepts, Mathematical Models, Mathematics Education
Peer reviewedHouser, Larry L. – Mathematics Teacher, 1981
Monte Carlo methods are used to simulate activities in baseball such as a team's "hot streak" and a hitter's "batting slump." Student participation in such simulations is viewed as a useful method of giving pupils a better understanding of the probability concepts involved. (MP)
Descriptors: Baseball, Mathematical Models, Mathematics Instruction, Models
Peer reviewedBojorquez, Luis; Galvan, Silvia C. – School Science and Mathematics, 1982
A simple teaching model, designed to show rapidly which are the principal factors in population growth and how they are related, is presented. The apparatus described allows students to play several different active roles. (MP)
Descriptors: Mathematical Applications, Mathematical Models, Mathematics Education, Models
Peer reviewedBurghes, David N. – Educational Studies in Mathematics, 1980
Mathematical modeling is defined. Examples are used to show that there are models available which illustrate both the traditional use of mathematics in the physical science and its newer use in nonphysical disciplines, and which are at a suitable level for teaching in schools. (Author/MK)
Descriptors: Interdisciplinary Approach, Mathematical Applications, Mathematical Models, Mathematics Curriculum
Peer reviewedSwetz, Frank – Mathematics Teacher, 1989
Discusses the use of mathematical modeling. Describes types, examples, and importance of mathematical models. (YP)
Descriptors: Mathematical Concepts, Mathematical Formulas, Mathematical Models, Mathematics Curriculum
Peer reviewedHoffman, Dale T. – Physics Teacher, 1991
Discusses a misconception about the cycloid that asserts the final point on the path of shortest time in the "Brachistochrone" problem is at the lowest point on the cycloid. Uses a BASIC program for Newton's method to determine the correct least-time cycloid. (MDH)
Descriptors: High Schools, Mathematical Formulas, Mathematical Models, Misconceptions
Wholeben, Brent Edward – 1984
Complex decision-making environments often demand that a range of alternative strategies be identified and compared for their shared value in achieving desired ends. Simple parametric statistical procedures such as analysis of variance and discriminant function analysis can be used in such situations to compare (using selected criteria) the value…
Descriptors: Comparative Analysis, Computer Simulation, Decision Making, Elementary Secondary Education
Gardner, Martin – Scientific American, 1978
Describes and illustrates the structure of different versions of Mobius bands called prismatic rings or twisted prisms. Different forms are mentioned, such as the one bent into circular shapes and the toroidal polyhedrons. (GA)
Descriptors: College Science, Game Theory, Games, Higher Education
Peer reviewedGunther, L.; Weaver, D. L. – American Journal of Physics, 1978
A model of Brownian motion is discussed which includes viscosity effects. The model lends itself to Monte Carlo simulation and thus is suitable for an elementary physics laboratory experiment. (BB)
Descriptors: College Science, Higher Education, Laboratory Experiments, Mathematical Models
Peer reviewedCramer, Kathleen; Bezuk, Nadine – Arithmetic Teacher, 1991
Applies the Lesh Translation Model to develop conceptual understanding by showing relationships between five modes of representation proposed by Lesh to learn multiplication of fractions. Presents five teaching activities based on the translation model. (MDH)
Descriptors: Cognitive Development, Concept Formation, Elementary Education, Fractions
Peer reviewedEastwood, Margaret – Mathematics in School, 1983
Models for developing addition, subtraction, and multiplication with integers are given. (MNS)
Descriptors: Integers, Mathematical Models, Mathematics, Mathematics Instruction
Peer reviewedGalbraith, P. L.; Clatworthy, N. J. – Educational Studies in Mathematics, 1990
Reports a project that incorporated mathematical modeling into a college course. Reports evaluation of the course in terms of criteria derived from the stated aims: modeling performance, modeling framework, pedagogy assessment, and personal growth. Included are two sample problems. (YP)
Descriptors: Case Studies, College Mathematics, Course Content, Course Evaluation
Peer reviewedMahmoud, Mohamed M. – Assessment and Evaluation in Higher Education, 1991
A study used correlational analysis and step-wise multiple regression to build mathematical models representing the dynamics of student evaluation of courses and teachers. The resulting models were very strong and were subsequently used to improve academic programs in Kuwait's Institute of Banking Studies. (Author/MSE)
Descriptors: Course Evaluation, Decision Making, Evaluation Criteria, Evaluation Methods

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