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Driggers, Kenneth – Studies in Philosophy and Education, 2023
While virtual simulations are a familiar professional training tool, they have only recently been implemented in teacher education programs. These simulations are used to complement traditional student teacher placement. In this paper, the author critically examines one teacher training simulation, TeachLivE, specifically in terms of its implicit…
Descriptors: Computer Simulation, Teacher Education Programs, Training, Instruction
Stroup, Walter M.; Wilensky, Uri – Technology, Knowledge and Learning, 2014
Placed in the larger context of broadening the engagement with systems dynamics and complexity theory in school-aged learning and teaching, this paper is intended to introduce, situate, and illustrate--with results from the use of network supported participatory simulations in classrooms--a stance we call "embedded complementarity" as an…
Descriptors: Systems Approach, Logical Thinking, STEM Education, Learning
Bagodi, Virupaxi; Mahanty, Biswajit – Learning Organization, 2013
Purpose: The purpose of this paper is to explore the rationale for the lack of growth in the two-wheeler service sector despite an exponential growth in the number of two-wheelers on Indian roads. Design/methodology/approach: The data of a premier manufacturer were gathered to develop a system dynamics model. Policy experimentation was carried out…
Descriptors: Foreign Countries, Transportation, Motor Vehicles, Service Occupations
Scheibehenne, Benjamin; Rieskamp, Jorg; Wagenmakers, Eric-Jan – Psychological Review, 2013
Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox…
Descriptors: Cognitive Processes, Behavior, Models, Bayesian Statistics
Goodman, Noah D.; Ullman, Tomer D.; Tenenbaum, Joshua B. – Psychological Review, 2011
The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be…
Descriptors: Causal Models, Logical Thinking, Cognitive Development, Bayesian Statistics
White, Brian; Kahriman, Azmin; Luberice, Lois; Idleh, Farhia – Biochemistry and Molecular Biology Education, 2010
Communicating an understanding of the forces and factors that determine a protein's structure is an important goal of many biology and biochemistry courses at a variety of levels. Many educators use computer software that allows visualization of these complex molecules for this purpose. Although visualization is in wide use and has been associated…
Descriptors: Undergraduate Students, Visualization, Computer Software, Biochemistry

Cohen, 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

Balakrishnan, P. V. (Sunder); And Others – Psychometrika, 1994
A simulation study compares nonhierarchical clustering capabilities of a class of neural networks using Kohonen learning with a K-means clustering procedure. The focus is on the ability of the procedures to recover correctly the known cluster structure in the data. Advantages and disadvantages of the procedures are reviewed. (SLD)
Descriptors: Classification, Cluster Analysis, Comparative Analysis, Computer Simulation

Mislevy, Robert J.; Wilson, Mark – Psychometrika, 1996
Marginal maximum likelihood estimation equations are derived for the structural parameters of the Saltus model, and a computing approximation is suggested based on the EM algorithm. The solution is illustrated with simulated data and an example from the domain of mixed number subtraction. (SLD)
Descriptors: Bayesian Statistics, Cognitive Tests, Equations (Mathematics), Individual Development
Shultz, Thomas R.; Cohen, Leslie B. – Infancy, 2004
We used an encoder version of cascade correlation to simulate Younger and Cohen's (1983, 1986) finding that 10-month-olds recover attention on the basis of correlations among stimulus features, but 4- and 7-month-olds recover attention on the basis of stimulus features. We captured these effects by varying the score threshold parameter in cascade…
Descriptors: Infants, Learning, Age Differences, Attention
Mislevy, Robert J.; Wilson, Mark – 1992
Standard item response theory (IRT) models posit latent variables to account for regularities in students' performance on test items. They can accommodate learning only if the expected changes in performance are smooth, and, in an appropriate metric, uniform over items. Wilson's "Saltus" model extends the ideas of IRT to development that…
Descriptors: Bayesian Statistics, Change, Development, Item Response Theory
Lebow, David G.; Wager, Walter W. – 1994
Implications of using authentic activity as a model for appropriate learning activity are discussed, particularly in regard to the design of computer-based simulations and project-based learning activities. Mere provision of computer-based simulations and reality-centered projects does not ensure that a student will derive the benefits of…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Software Development, Context Effect