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Chatham, Christopher H.; Yerys, Benjamin E.; Munakata, Yuko – Cognitive Development, 2012
Computational models are powerful tools--too powerful, according to some. We argue that the idea that models can "do anything" is wrong, and we describe how their failures have been informative. We present new work showing surprising diversity in the effects of feedback on children's task-switching, such that some children perseverate despite this…
Descriptors: Failure, Computation, Models, Neurology
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Oud, Johan H. L.; Folmer, Henk – Multivariate Behavioral Research, 2011
This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011), particularly the approximate estimation procedure applied. This procedure is the latent version of the local linear approximation procedure…
Descriptors: Structural Equation Models, Computation, Calculus, Simulation
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Steele, Joel S.; Ferrer, Emilio – Multivariate Behavioral Research, 2011
This article presents our response to Oud and Folmer's "Modeling Oscillation, Approximately or Exactly?" (2011), which criticizes aspects of our article, "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011). In this response, we present a conceptual explanation of the derivative-based estimation…
Descriptors: Calculus, Responses, Simulation, Models
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Pierce, Benjamin A.; Honeycutt, Brenda B. – American Biology Teacher, 2007
Probability is an essential tool for understanding heredity and modern genetics, yet many students have difficulty with this topic due to the abstract and quantitative nature of the subject. To facilitate student learning of probability in genetics, we have developed a set of hands-on, cooperative activities that allow students to determine…
Descriptors: Heredity, Learning Activities, Genetics, Statistical Analysis
Robinson, Derek; Bowman, Adrian – Collegiate Microcomputer, 1990
Discusses the use of computer-illustrated texts to teach statistics at the college level. Microcomputer-based software that can be used in the areas of calculation, graphics, simulation, animation, and text presentation is described; and use of the software for lectures, laboratory use, and tutorials is discussed. (three references) (LRW)
Descriptors: Computation, Computer Assisted Instruction, Computer Graphics, Computer Simulation
Pollack, Seymour V., Ed. – 1982
The nine articles in this collection were selected because they represent concerns central to computer science, emphasize topics of particular interest to mathematicians, and underscore the wide range of areas deeply and continually affected by computer science. The contents consist of: "Introduction" (S. V. Pollack), "The…
Descriptors: Artificial Intelligence, College Mathematics, Computation, Computer Programs
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Caulkins, Jonathan P. – Journal of Policy Analysis and Management, 2002
In this article, the author discusses the use in policy analysis of models that incorporate uncertainty. He believes that all models should consider incorporating uncertainty, but that at the same time it is important to understand that sampling variability is not usually the dominant driver of uncertainty in policy analyses. He also argues that…
Descriptors: Statistical Inference, Models, Policy Analysis, Sampling