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Albert, Daniel R. – Journal of Chemical Education, 2020
Monte Carlo simulations for uncertainty propagation take as inputs the uncertainty distribution for each variable and an equation for the calculation of a desired quantity. The desired quantity is then calculated by randomly drawing from the specified uncertainty distributions of the input variables. This calculation is then repeated many times…
Descriptors: Monte Carlo Methods, Science Instruction, Measurement, Undergraduate Students
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Meyburg, Jan Philipp; Diesing, Detlef – Journal of Chemical Education, 2017
This article describes the implementation and application of a metal deposition and surface diffusion Monte Carlo simulation in a physical chemistry lab course. Here the self-diffusion of Ag atoms on a Ag(111) surface is modeled and compared to published experimental results. Both the thin-film homoepitaxial growth during adatom deposition onto a…
Descriptors: Monte Carlo Methods, Computer Simulation, Chemistry, Laboratory Experiments
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Sharda, Vandana; Sastri, O. S. K. S.; Bhardwaj, Jyoti; Jha, Arbind K. – Physics Education, 2016
In this paper, we present a simple spreadsheet based simulation activity that can be performed by students at the undergraduate level. This simulation is implemented in free open source software (FOSS) LibreOffice Calc, which is available for both Windows and Linux platform. This activity aims at building the probability distribution for the…
Descriptors: Computer Simulation, Spreadsheets, Concept Teaching, Scientific Concepts
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Mallavarapu, Aditi; Lyons, Leilah; Shelley, Tia; Minor, Emily; Slattery, Brian; Zellner, Moria – Journal of Educational Data Mining, 2015
Interactive learning environments can provide learners with opportunities to explore rich, real-world problem spaces, but the nature of these problem spaces can make assessing learner progress difficult. Such assessment can be useful for providing formative and summative feedback to the learners, to educators, and to the designers of the…
Descriptors: Spatial Ability, Urban Areas, Neighborhoods, Conservation (Environment)
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Huck, Schuyler W.; And Others – Journal of Educational Statistics, 1985
Classroom demonstrations can help students gain insights into statistical concepts and phenomena. After discussing four kinds of demonstrations, the authors present three possible approaches for determining how much data are needed for the demonstration to have a reasonable probability for success. (Author/LMO)
Descriptors: Computer Simulation, Demonstrations (Educational), Higher Education, Monte Carlo Methods
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Newell, G. J.; MacFarlane, J. D. – Australian Mathematics Teacher, 1985
Presents sports-oriented examples (cricket and football) in which Monte Carlo methods are used on microcomputers to teach probability concepts. Both examples include computer programs (with listings) which utilize the microcomputer's random number generator. Instructional strategies, with further challenges to help students understand the role of…
Descriptors: Computer Simulation, Computer Software, Estimation (Mathematics), Mathematics Education
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Sterling, Joan; Gray, Mary W. – Journal of Computers in Mathematics and Science Teaching, 1991
An experimental class in introductory statistics (n=40) using simulation software at American University was compared to a traditionally taught control group (n=36) with respect to achievement and accrued beliefs about the benefits of the simulations. Results indicate significantly higher achievement scores for the experimental class with about…
Descriptors: Computer Simulation, Computer Software Evaluation, Control Groups, Experimental Groups