Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 7 |
Descriptor
Probability | 9 |
Science Instruction | 9 |
Simulation | 7 |
College Science | 4 |
Physics | 4 |
Monte Carlo Methods | 3 |
Biology | 2 |
Chemistry | 2 |
Computation | 2 |
Computer Assisted Instruction | 2 |
Computer Simulation | 2 |
More ▼ |
Source
European Journal of Physics | 2 |
American Biology Teacher | 1 |
Chemical Engineering Education | 1 |
Computers in the Schools | 1 |
Journal of Chemical Education | 1 |
Physical Review Physics… | 1 |
Author
Argoti, A. | 1 |
Bell, Randy L. | 1 |
Blum, Ronald, Ed. | 1 |
Chou, S. T. | 1 |
Cruz, J. | 1 |
Fan, L. T. | 1 |
Fazio, Claudio | 1 |
George, Danielle J. | 1 |
Gonczi, Amanda L. | 1 |
Guastella, Ivan | 1 |
Hammer, Nathan I. | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Descriptive | 4 |
Reports - Research | 2 |
Opinion Papers | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 2 |
Elementary Education | 1 |
Audience
Location
Mississippi | 1 |
United Kingdom (Scotland) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Passante, Gina; Kohnle, Antje – Physical Review Physics Education Research, 2019
Time dependence is of fundamental importance for the description of quantum systems, but is particularly difficult for students to master. We describe the development and evaluation of a combined simulation-tutorial to support the development of visual understanding of time dependence in quantum mechanics. The associated interactive simulation…
Descriptors: Physics, Science Instruction, Simulation, Quantum Mechanics
Gonczi, Amanda L.; Maeng, Jennifer L.; Bell, Randy L.; Whitworth, Brooke A. – Computers in the Schools, 2016
This mixed-methods study sought to identify professional development implementation variables that may influence participant (a) adoption of simulations, and (b) use for inquiry-based science instruction. Two groups (Cohort 1, N = 52; Cohort 2, N = 104) received different professional development. Cohort 1 was focused on Web site use mechanics.…
Descriptors: Computer Simulation, Professional Development, Elementary School Science, Mixed Methods Research
George, Danielle J.; Hammer, Nathan I. – Journal of Chemical Education, 2015
This undergraduate physical chemistry laboratory exercise introduces students to the study of probability distributions both experimentally and using computer simulations. Students perform the classic coin toss experiment individually and then pool all of their data together to study the effect of experimental sample size on the binomial…
Descriptors: Science Instruction, College Science, Undergraduate Study, Science Laboratories
Guastella, Ivan; Fazio, Claudio; Sperandeo-Mineo, Rosa Maria – European Journal of Physics, 2012
A procedure modelling ideal classical and quantum gases is discussed. The proposed approach is mainly based on the idea that modelling and algorithm analysis can provide a deeper understanding of particularly complex physical systems. Appropriate representations and physical models able to mimic possible pseudo-mechanisms of functioning and having…
Descriptors: Predictive Validity, Quantum Mechanics, Science Education, Science Instruction
Morio, Jerome; Pastel, Rudy; Le Gland, Francois – European Journal of Physics, 2010
Monte Carlo simulations are a classical tool to analyse physical systems. When unlikely events are to be simulated, the importance sampling technique is often used instead of Monte Carlo. Importance sampling has some drawbacks when the problem dimensionality is high or when the optimal importance sampling density is complex to obtain. In this…
Descriptors: Science Instruction, Physics, Simulation, Sampling
Argoti, A.; Fan, L. T.; Cruz, J.; Chou, S. T. – Chemical Engineering Education, 2008
The stochastic simulation of chemical reactions, specifically, a simple reversible chemical reaction obeying the first-order, i.e., linear, rate law, has been presented by Martinez-Urreaga and his collaborators in this journal. The current contribution is intended to complement and augment their work in two aspects. First, the simple reversible…
Descriptors: Chemistry, Equations (Mathematics), Probability, Science Instruction
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
Small, James W., Jr. – 1977
Students in general undergraduate courses in both biology and genetics seem to have great difficulty mastering the basic concepts of Mendelian Genetics and solving even simple problems. In an attempt to correct this situation, students in both courses at Rollins College were introduced to three simulation models of the genetics of the fruit…
Descriptors: Autoinstructional Aids, Biology, Computer Assisted Instruction, Computer Programs
Blum, Ronald, Ed. – 1969
Designed to serve as a guide for integrating interactive problem-solving or simulating computers into a college-level physics course, this anthology contains nine articles each of which includes an introduction, a student manual, and a teacher's guide. Among areas covered in the articles are the computerized reduction of data to a Gaussian…
Descriptors: College Instruction, Computer Assisted Instruction, Curriculum Development, Data Analysis