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Peer reviewedMcClelland, James L. – Cognitive Psychology, 1991
Mathematical analysis and computer simulation methods are used to show that interactive models of context effects can exhibit classical context effects if there is variability in the input to the network or the network itself. Interactive models represent hypotheses about information-processing dynamics leading to the global asymptotic behaviors…
Descriptors: Computer Simulation, Context Effect, Equations (Mathematics), Graphs
Hawkins, Wesley E. – Health Education (Washington D.C.), 1990
This article suggests a teaching method, the Classic Studies Inquiry Simulation, which allows health educators to use the epidemiologic model to teach critical thinking skills. This technique is demonstrated for teaching major research designs and major rates used in epidemiology. (IAH)
Descriptors: Critical Thinking, Epidemiology, Health Education, Higher Education
Cryer, Patricia – Simulation/Games for Learning, 1988
Uses game theory to help practitioners make decisions about educational games, simulations, or workshops whose outcomes depend to some extent on chance. Highlights include principles for making decisions involving risk; elementary laws of probability; utility theory; and principles for making decisions involving uncertainty. (eight references)…
Descriptors: Decision Making, Educational Games, Game Theory, Probability
Peer reviewedHarwell, Michael R.; Serlin, Ronald C. – Journal of Educational Statistics, 1989
Two forms, pure-rank and mixed-rank, of a nonparametric, general, linear model-based statistic that can be used to test several hypotheses are presented. A Monte Carlo study was used to investigate the distributional properties of these forms, and their use is discussed. (SLD)
Descriptors: Hypothesis Testing, Mathematical Models, Monte Carlo Methods, Simulation
Peer reviewedTexley, Juliana – NASSP Bulletin, 1989
Three new developments are sparking renewed enthusiasm for microcomputers among science teachers: teacher-designed software, more powerful hardware, and increased access to teacher inservice and coursework for computer-assisted instruction. Central to tomorrow's science curriculum will be teachers' acting as mentors, facilitators, and…
Descriptors: Computer Assisted Instruction, Computer Simulation, Microcomputers, Science Instruction
Peer reviewedvan den Wollenberg, Arnold L.; And Others – Applied Psychological Measurement, 1988
The unconditional--simultaneous--maximum likelihood (UML) estimation procedure for the one-parameter logistic model produces biased estimators. The UML method is inconsistent and is not a good alternative to conditional maximum likelihood method, at least with small numbers of items. The minimum Chi-square estimation procedure produces unbiased…
Descriptors: Computer Simulation, Estimation (Mathematics), Maximum Likelihood Statistics, Reliability
Peer reviewedOshima, T. C. – Journal of Educational Measurement, 1994
The effect of violating the assumption of nonspeededness on ability and item parameter estimates in item response theory was studied through simulation under three speededness conditions. Results indicate that ability estimation was least affected by speededness but that substantial effects on item parameter estimates were found. (SLD)
Descriptors: Ability, Computer Simulation, Estimation (Mathematics), Item Response Theory
Peer reviewedArico, Anthony – American Biology Teacher, 1995
Describes an inexpensive, easily prepared demonstration to teach the concepts of human blood grouping, antigen-antibody reactions, and medical transfusions. (ZWH)
Descriptors: Biology, Demonstrations (Science), Science Education, Science Experiments
Peer reviewedConklin, Nikki L.; And Others – Journal of Extension, 1995
Through Project EXCEL (Excellence in Community Elected and Appointed Leadership), 63 participants (Ohio county commissioners) completed simulation exercises in 7 assessment centers. Participants received personalized feedback on 15 behavioral dimensions. (SK)
Descriptors: Adult Education, Assessment Centers (Personnel), County Officials, Leadership Training
Peer reviewedSinha, Atanu R.; Buchanan, Bruce S. – Psychometrika, 1995
This paper presents an analysis of the stability of principal components. Stability is measured by the expectation of the absolute inner product of the sample principal component with the corresponding population component. The usefulness and predictive validity of the model were supported through simulation. (SLD)
Descriptors: Evaluation Utilization, Factor Analysis, Models, Predictive Validity
Peer reviewedCohen, Jonathan D.; And Others – Psychological Review, 1990
It is proposed that attributes of automatization depend on the strength of a processing pathway, and that strength increases with training. With the Stroop effect as an example, automatic processes are shown through simulation to be continuous and to emerge gradually with practice. (SLD)
Descriptors: Algorithms, Attention, Cognitive Processes, Learning
Peer reviewedvan Joolingen, Wouter R.; de Jong, Ton – Computers and Education, 1992
Discussion of computer simulations as a form of computer-assisted learning (CAL) focuses on a framework for domain representation for an Intelligent Simulation Learning Environment (ISLE). Topics discussed include knowledge related to computer simulations; formalization of domain knowledge; and the conceptual domain model. (19 references) (LRW)
Descriptors: Computer Assisted Instruction, Computer Simulation, Discovery Learning, Educational Environment
Peer reviewedHuntley, Joan S.; Partridge, Michael – Visible Language, 1992
Describes a computer program that gives Fluxus exhibition attendees an opportunity to experience the Flux objects in the spirit in which they were originally created. Suggests that the computer program provides a virtual approximation to the original art works without damaging them. (RS)
Descriptors: Art Activities, Art Appreciation, Art History, Computer Simulation
Heathman, Dena J.; Kleiner, Brian H. – Training and Development, 1991
New applications of computer-assisted training being developed include telecommunications, artificial intelligence, soft skills training, and performance support systems. Barriers to acceptance are development time, costs, and lack of human contact. (SK)
Descriptors: Computer Assisted Instruction, Computer Simulation, Corporate Education, Job Performance
Peer reviewedLubin, Bernard; Van Whitlock, Rodney; Rea, Melinda; Petren, Suzanne – Assessment, 1998
The scoring pattern of the Multiple Affect Adjective Check List--Revised (MAACL-R) (M. Zuckerman and B. Lubin, 1985) was studied under "simulate good" and "simulate bad" conditions and under instructional sets of "simulate" or "simulate with caution" with 320 college students. Results show that the MAACL-R…
Descriptors: Affective Behavior, College Students, Higher Education, Measures (Individuals)


