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Psycharis, Sarantos – Educational Technology & Society, 2016
Computational experiment approach considers models as the fundamental instructional units of Inquiry Based Science and Mathematics Education (IBSE) and STEM Education, where the model take the place of the "classical" experimental set-up and simulation replaces the experiment. Argumentation in IBSE and STEM education is related to the…
Descriptors: Science Education, Mathematics Education, Persuasive Discourse, Experiments
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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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Gorgievski, Nicholas; DeFranco, Thomas C.; Swaminatha, Hariharan; Sofronas, Kimberly S. – MathAMATYC Educator, 2010
In 1974, the National Football League (NFL) initiated a sudden death overtime rule for games ending in a tie score at the end of regulation time. The rule states that the sudden death system of determining the winner shall prevail when the score is tied at the end of the regulation playing time of all NFL games. The team scoring first during…
Descriptors: Team Sports, Games, Scoring, Predictor Variables
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Lege, Jerry – Mathematics Teacher, 2009
The white picket fence is an integral component of the iconic American townscape. But, for mathematics students, it can be a mathematical challenge. Picket fences in a variety of styles serve as excellent sources to model constant, step, absolute value, and sinusoidal functions. "Principles and Standards for School Mathematics" (NCTM 2000)…
Descriptors: Mathematical Models, Cognitive Processes, Mathematics Instruction, Mathematics Education
Porter, Christopher H. – ProQuest LLC, 2011
The purpose of this study was to examine the variables which influence a high school student to enroll in an engineering discipline versus a physical science discipline. Data was collected utilizing the High School Activities, Characteristics, and Influences Survey, which was administered to students who were freshmen in an engineering or physical…
Descriptors: Engineering Education, Engineering, Physical Sciences, College Freshmen
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Gordon, Sheldon P.; Gordon, Florence S. – Mathematics and Computer Education, 2004
In discussions with leading educators from many different fields, MAA's CRAFTY (Curriculum Renewal Across the First Two Years) committee found that one of the most common mathematical themes in those other disciplines is the idea of fitting a function to a set of data in the least squares sense. The representatives of those partner disciplines…
Descriptors: Least Squares Statistics, Mathematics Education, Mathematical Models, Calculus
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Bosse, Michael J. – Mathematics Teacher, 2005
Modeling data behavior is differentiated from statistically determining a best-fit regression function, as it allows students to develop functions that hold certain attributes in respect to a set of data. Three techniques for developing polynomial models are demonstrated that afford students optional methods for determining appropriate polynomial…
Descriptors: Goodness of Fit, Mathematical Models, Mathematical Formulas, Mathematics Education
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Mathews, John H. – Mathematics and Computer Education, 1992
Presents two mathematical methods for fitting the logistic curve to population data supplied by the U.S. Census Bureau utilizing computer algebra software to carry out the computations and plot graphs. (JKK)
Descriptors: College Mathematics, Computer Assisted Instruction, Differential Equations, Higher Education