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Gonczi, Amanda; Palosaari, Chuck; Mayer, Alex; Urban, Noel – Science Teacher, 2022
Computational modeling and thinking skill sets were previously relegated to computer scientists and programmers. As a result, computational tools are largely unfamiliar to K-12 science teachers and students. Using Mathematical and Computational Thinking and Developing and Using Models were included in the "Next Generation Science…
Descriptors: Learning Activities, High School Students, STEM Education, Computation
Di Vincenzo, Antonella; Floriano, Michele A. – Journal of Chemical Education, 2020
An application for visualizing the dynamic properties of an equimolar binary mixture of isotropic reactive particles is presented. By introducing a user selectable choice for the activation energy, the application is useful to demonstrate qualitatively that the reaction rate depends on the above choice and on temperature. The application is based…
Descriptors: High School Students, Undergraduate Students, Molecular Structure, Chemistry
Katherine M. Landsiedel; Orley A. Templeton; Jennifer R. Washko; Michael A. Floren; Elizabeth B. Kavanaugh; Carolyn B. Maguire; Erin A. Onoshko; Katherine E. Schmitter; Martina M. Sledziewski – Journal of Occupational Therapy, Schools & Early Intervention, 2024
This pretest/posttest study investigated the effectiveness of an interdisciplinary program in which occupational therapists and speech-language pathologists used a combination of video modeling, scenario-based learning, guided discussion, and reflection on the development of interpersonal skills and work readiness among students with disabilities.…
Descriptors: Video Technology, Models, Simulation, Interpersonal Competence
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Hasegawa, Raiden B.; Deshpande, Sameer K.; Small, Dylan S.; Rosenbaum, Paul R. – Journal of Educational and Behavioral Statistics, 2020
Causal effects are commonly defined as comparisons of the potential outcomes under treatment and control, but this definition is threatened by the possibility that either the treatment or the control condition is not well defined, existing instead in more than one version. This is often a real possibility in nonexperimental or observational…
Descriptors: Causal Models, Inferences, Randomized Controlled Trials, Experimental Groups
Urbanowski, Vincent – Mathematics Teacher: Learning and Teaching PK-12, 2022
This article describes a modeling project the author did with his algebra, geometry, and applications students in grades 9, 10, and 11 as an enrichment and exploration of an extremely relevant real-world phenomenon and introduction to the adult profession of epidemiologist. With discussion and exploration, this project consumed two periods of 88…
Descriptors: Pandemics, COVID-19, Spreadsheets, Epidemiology
Levy, Sharona T.; Peleg, Ran; Ofeck, Eyal; Tabor, Naamit; Dubovi, Ilana; Bluestein, Shiri; Ben-Zur, Hadar – Instructional Science: An International Journal of the Learning Sciences, 2018
We propose and evaluate a framework supporting collaborative discovery learning of complex systems. The framework blends five design principles: (1) individual action: amidst (2) social interactions; challenged with (3) multiple tasks; set in (4) a constrained interactive learning environment that draws attention to (5) highlighted target…
Descriptors: Traffic Safety, Discovery Learning, Simulation, Simulated Environment
Khadzir, Syahroni Al; Sumarmi – Journal of Education and Learning (EduLearn), 2020
This research was Analysis Design Development Implementation Evaluation (ADDIE) development model with data collection that is student need analysis, product validation, implementation validation, and audience validation. Data collection from 59 high school students found 60% of students needed the development of a fun learning method and 92%…
Descriptors: Teaching Methods, Models, International Organizations, Simulation
Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Benacka, Jan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The article gives an account of an experiment in which sixty-eight high school students of age 16 - 19 developed spreadsheet applications that simulated fall and projectile motion in the air. The students applied the Euler method to solve the governing differential equations. The aim was to promote STEM to the students and motivate them to study…
Descriptors: High School Students, STEM Education, Mathematical Models, Spreadsheets
Goodwin, Chris; Ortiz, Enrique – Mathematics Teaching in the Middle School, 2015
Modeling using mathematics and making inferences about mathematical situations are becoming more prevalent in most fields of study. Descriptive statistics cannot be used to generalize about a population or make predictions of what can occur. Instead, inference must be used. Simulation and sampling are essential in building a foundation for…
Descriptors: Mathematics Instruction, Models, Inferences, Simulation
Rates, Christopher A.; Mulvey, Bridget K.; Feldon, David F. – Journal of Science Education and Technology, 2016
Components of complex systems apply across multiple subject areas, and teaching these components may help students build unifying conceptual links. Students, however, often have difficulty learning these components, and limited research exists to understand what types of interventions may best help improve understanding. We investigated 32 high…
Descriptors: Concept Formation, Systems Approach, High School Students, Simulation
Mulder, Yvonne G.; Lazonder, Ard W.; de Jong, Ton; Anjewierden, Anjo; Bollen, Lars – Journal of Science Education and Technology, 2012
Model progression denotes the organization of the inquiry learning process in successive phases of increasing complexity. This study investigated the effectiveness of model progression in general, and explored the added value of either broadening or narrowing students' possibilities to change model progression phases. Results showed that…
Descriptors: Inquiry, Active Learning, Simulation, Models
Punckt, Christian; Bodega, Pablo S.; Kaira, Prabha; Rotermund, Harm H. – Journal of Chemical Education, 2015
Wildfires lead to the loss of life and property in many parts of the world. Understanding their dangers and, more particularly, the underlying dynamics which lead to fires of catastrophic scale contributes to better awareness as well as prevention and firefighting capabilities within the affected areas. In order to enable a basic understanding of…
Descriptors: Models, Scientific Concepts, Scientific Literacy, Scientific Principles