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Peer reviewedButters, Greg; Bandaranayake, Wije – Journal of Natural Resources and Life Sciences Education, 1993
A solution of the convection-dispersion equation is used to describe the solute breakthrough curves generated in the demonstrations in the companion paper. Estimation of the best fit model parameters (solute velocity, dispersion, and retardation) is illustrated using the method of moments for an example data set. (Author/MDH)
Descriptors: Biological Sciences, Environmental Education, Equations (Mathematics), Higher Education
Peer reviewedWeaver, Nicholas – Physics Education, 1999
Presents simple experiments using the flow of water from bell jars that can provide an easily visualized introduction to exponential decay. (Author)
Descriptors: Demonstrations (Science), Graphs, High Schools, Higher Education
Adema, Jos J. – 1988
Although two-stage testing is not the most efficient form of adaptive testing, it has some advantages. In this paper, linear programming models are given for the construction of two-stage tests. In these models, practical constraints with respect to, among other things, test composition, administration time, and inter-item dependencies play an…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Latent Trait Theory
Labelle, Gilbert – 2000
This set of transparencies shows how the manipulation of combinatorial structures in the context of modern combinatorics can easily lead to interesting teaching and learning activities at every level of education from elementary school to university. The transparencies describe: (1) the importance and relations of combinatorics to science and…
Descriptors: Curriculum Development, Higher Education, Interdisciplinary Approach, Mathematical Applications
Peer reviewedKleban, Peter – American Journal of Physics, 1979
Discussed is the virial theorem, which is useful in classical, quantum, and statistical mechanics. Two types of derivations of this theorem are presented and the relationship between the two is explored. (BT)
Descriptors: College Science, Computation, Higher Education, Mathematical Formulas
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 reviewedDe Villiers, Michael D. – Mathematics in School, 1988
Describes the use of step-functions in modelling instruction. Classifies modelling into three categories: direct, analogical, and creative application. Provides and discusses modelling postal rates and other problems as examples. (YP)
Descriptors: Algebra, Functions (Mathematics), Graphs, Mathematical Applications
Peer reviewedThow-Yick, Liang – Information Processing and Management, 1994
Identifies a set of objects that is genuinely indigenous to management information systems and constructs a simple model based on them. The model's four basic entities, which define the scope of information theory, are data, information, knowledge, and wisdom. (Contains 46 references.) (KRN)
Descriptors: Concept Formation, Data, Information Processing, Information Science
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
Wolfle, Lee M. – 1982
Direct and indirect effects in decomposed zero-order correlations among variables in causal models are considered. Under certain circumstances, the components of the decompositions could be interpreted as direct, indirect, and spurious causal effects, plus a component called joint associations. The sum of the direct and indirect effects is the…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
Peer reviewedDouglas, J. M.; Kirkwood, Robert L. – Chemical Engineering Education, 1989
Describes the spectrum of process design problems. Suggests a methodology for teaching some concepts used in design, including the types of processes considered and their designs, new tools useful in conceptual design, and a strategy for developing conceptual designs. (YP)
Descriptors: Chemical Engineering, College Science, Course Descriptions, Course Organization
Hallagan, Jean E. – Mathematics Education Research Journal, 2006
The purpose of this article is to describe a middle school mathematics teacher's model of his students' responses to algebraic tasks involving equivalent expressions and the distributive property. The teacher engaged in two model-eliciting activities designed for teachers by creating a library of his students' work and an accompanying "Ways…
Descriptors: Mathematics Teachers, Algebra, Mathematical Formulas, Mathematical Models
PDF pending restorationGilmer, Jerry S.; Feldt, Leonard S. – 1982
The Feldt-Gilmer congeneric reliability coefficients make it possible to estimate the reliability of a test composed of parts of unequal, unknown length. The approximate standard errors of the Feldt-Gilmer coefficients are derived via a method using the multivariate Taylor's expansion. Monte Carlo simulation is employed to corroborate the…
Descriptors: Educational Testing, Error of Measurement, Mathematical Formulas, Mathematical Models
Smith, Richard M. – 1981
In all latent trait models there is an equation which describes the probabilistic outcome of the interaction of a person with a known ability and an item with a known difficulty. This modeled outcome can be compared to the observed outcome, and the residuals can be summed over the items to assess the fit of the person to the model. Various…
Descriptors: Algebra, Error of Measurement, Goodness of Fit, Guessing (Tests)
PDF pending restorationSerlin, Ronald C.; Levin, Joel R. – 1980
A general procedure is presented for generating code values for a qualitative variable in multiple linear regression analyses that result in directly interpretable estimates of interest. The basic approach, in viewing ANOVA as a multiple regression problem, is to derive quantitative code values for the various levels of the qualitative ANOVA…
Descriptors: Analysis of Covariance, Analysis of Variance, Aptitude Treatment Interaction, Mathematical Formulas

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