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Peer reviewedTaylor, N. W. – Australian Mathematics Teacher, 1975
A model for population growth is described. (SD)
Descriptors: Computers, Instruction, Mathematical Models, Mathematics Education
Peer reviewedVansteenkiste, G. C. – International Journal of Mathematical Education in Science and Technology, 1975
Descriptors: Computer Oriented Programs, Computers, Design, Higher Education
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 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 reviewedDorn, William S. – Journal of Research in Science Teaching, 1975
Describes two types of computer-based experiments: simulation (which assumes no student knowledge of the workings of the computer program) is recommended for experiments aimed at inductive reasoning; and modeling (which assumes student understanding of the computer program) is recommended for deductive processes. (MLH)
Descriptors: College Science, Computer Assisted Instruction, Deduction, Higher Education
Peer reviewedNovak, John; Bortz, Alfred B. – American Journal of Physics, 1970
Descriptors: College Science, Computer Assisted Instruction, Computer Programs, Instruction
Peer reviewedAlker, Hayward R., Jr. – International Journal of Mathematical Education in Science and Technology, 1974
Achievements, limitations, and difficulties of social science simulation efforts are discussed with particular reference to three examples. The pedagogical use of complementary developmental, philosophical, mathematical, and scientific approaches is advocated to minimize potential abuses of social simulation research. (LS)
Descriptors: Behavioral Science Research, Computers, Instruction, Interdisciplinary Approach
Camp, John S. – Creative Computing, 1978
The purpose of this paper is to present problems (and solutions) from the areas of marketing, population planning, system reliability, and mathematics to show how a computer simulation can be used as a problem-solving strategy in probability. Examples using BASIC and two methods of generating random numbers are given. (Author/MP)
Descriptors: Computer Programs, Elementary Secondary Education, Experiential Learning, Experiments
Hill, Linda; Rothery, Andrew – Mathematics Teaching, 1975
Mathematical modelling activities related to everyday situations (e.g., traffic lights) can be used to develop probability concepts. (SD)
Descriptors: Educational Games, Instruction, Learning Activities, Mathematical Concepts
Peer reviewedBraun, Ludwig; Beck, Betty M. – School Science and Mathematics, 1978
Described is the development of a simulation, or model of an existing congested pedestrian crossing situation by elementary school students in order to conduct trials of their solutions. (MN)
Descriptors: Elementary Education, Elementary School Mathematics, Illustrations, Instruction
Download full textCohen, Harvey A. – 1975
Several models for problem solving are discussed, and the idea of a heuristic frame is developed. This concept provides a description of the evolution of problem-solving skills in terms of the growth of the number of algorithms available and increased sophistication in their use. The heuristic frame model is applied to two sets of physical…
Descriptors: Artificial Intelligence, Computers, Instruction, Learning Theories
