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What Works Clearinghouse Rating
Peer reviewedMauger, John W.; And Others – American Journal of Pharmaceutical Education, 1978
A simulation experiment for the dissolution kinetics of steroids is described whose goals are to demonstrate the characteristics of the physical-chemical model for dissolution and to relate the physical-chemical model to the potential therapeutic availability of the drug. Computational details are given. (LBH)
Descriptors: Chemical Reactions, Computation, Drug Therapy, Experiments
Peer reviewedSelkirk, Keith – Mathematics in School, 1973
A mathematical model of a soccer-league competition results is set up and investigated using simple randomization techniques. The hypothesis that winning the league championship was purely luck was statistically tested. (JP)
Descriptors: Experiential Learning, Instruction, Mathematical Models, Probability
Peer reviewedBarcikowski, Robert S. – Journal of Educational Measurement, 1972
These results indicate that in deciding on the data-gathering design to be used in seeking norm information, attention should be given to item characteristics and test length with particular attention paid to the range of biserial correlations between item response and ability. (Author)
Descriptors: Item Sampling, Mathematical Models, Measurement Techniques, Monte Carlo Methods
Peer reviewedInnis, George – BioScience, 1971
Describes a program in which students develop a mathematical model, based on simple feedback loops, used for predicting consequences of varying ecological parameters. Presentation early in undergraduate course emphasizes use of statistics in ecology. (AL)
Descriptors: Biology, College Science, Course Descriptions, Ecology
Peer reviewedMetcalfe Eich, Janet – Psychological Review, 1982
A model of association formation, storage, and retrieval is described. Experiments which test new predictions derived from the model against human recall are reported. The model is applied to previous findings: prototype abstraction, the A-B A-D paradigm and the Osgood transfer surface. Previous models of memory are discussed. (Author/RD)
Descriptors: Association (Psychology), Cues, Foreign Countries, Higher Education
Peer reviewedBronson, Richard – Two-Year College Mathematics Journal, 1982
The use of continuous simulation is promoted as a teaching tool in the undergraduate curriculum. Simulation, advances in continuous simulation, an approach to teaching system dynamics, computer languages deemed suitable for continuous simulation, and an outline of a prototypic first course in continuous simulation are presented. (MP)
Descriptors: Course Descriptions, Curriculum Development, Educational Change, Higher Education
Peer reviewedRoberts, Nancy – Mathematics Teacher, 1981
A programing language called DYNAMO, developed especially for writing simulation models, is promoted. Details of six, self-teaching curriculum packages recently developed for simulation-oriented instruction are provided. (MP)
Descriptors: Computers, Mathematical Applications, Mathematical Models, Mathematics Curriculum
Peer reviewedGilbert, R. – Journal of Geological Education, 1979
Describes a simple hydraulic simulator based on more complex models long used by engineers to develop approximate solutions. It allows students to visualize non-steady transfer, to apply a model to solve a problem, and to compare experimentally simulated information with calculated values. (Author/MA)
Descriptors: Earth Science, Energy, Geology, Laboratory Equipment
Peer reviewedBleau, Barbara Lee – Higher Education, 1981
Planning model literature from its earliest use to the present, emphasizing the generalized resource allocation models, is summarized. Several examples of categories of models are cited. An in-depth analysis of six resource allocation models (e.g., CAMPUS Simulation Model, TRADES Financial Planning Model) is presented. (Author/MLW)
Descriptors: College Planning, Computer Oriented Programs, Costs, Higher Education
Peer reviewedCohn, Elchanan; And Others – Journal of Education Finance, 1980
Describes and provides a simulation of an input-output, goal-programing technique that uses efficiency criteria as prerequisites for state aid payments and provides for the sharing of managerial know-how between the state and local school districts. (Author/IRT)
Descriptors: Elementary Secondary Education, Equalization Aid, Input Output Analysis, Mathematical Models
Gardner, Martin – Scientific American, 1979
Discusses some mathematical games concerning the packing of squares. (HM)
Descriptors: Educational Games, Game Theory, Games, Mathematical Applications
Stewart, Peter A. – Physiologist, 1979
Defines and discusses the analog computer and its use in a physiology laboratory. Includes two examples: (1) The Respiratory Control Function and (2) CO-Two Control in the Respiratory System. Presents diagrams and mathematical models. (MA)
Descriptors: Analog Computers, Computer Assisted Instruction, Higher Education, Mathematical Models
Peer reviewedMolenaar, Ivo W.; Hoijtink, Herbert – Psychometrika, 1990
Statistical properties of person fit indices are reviewed as indicators of the extent to which a person's score pattern is in agreement with a measurement model. Distribution of a fit index and ability-free fit evaluation are discussed. The null distribution was simulated for a test of 20 items. (SLD)
Descriptors: Item Banks, Item Response Theory, Mathematical Models, Monte Carlo Methods
Peer reviewedHolt, Judith A.; Macready, George B. – Applied Psychological Measurement, 1989
The robustness of the likelihood ratio difference statistic to the violation of a regularity condition when used to assess differences in fit provided by pairs of latent class models was investigated. Recommendations are made regarding the use of the statistic under violation of the regularity condition. (SLD)
Descriptors: Chi Square, Comparative Analysis, Goodness of Fit, Mathematical Models
Madden, Sean P.; Downing, James P.; Comstock, Jocelyne M. – Mathematics Teacher, 2006
This article describes a classroom activity in which a solar eclipse is simulated and a mathematical model is developed to explain the data. Students use manipulative devices and graphing calculators to carry out the experiment and then compare their results to those collected in Koolymilka, Australia, during the 2002 eclipse.
Descriptors: Geometry, Mathematical Models, Graphing Calculators, Simulation

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