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Emily K. Toutkoushian; Kihyun Ryoo – Measurement: Interdisciplinary Research and Perspectives, 2024
The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…
Descriptors: Middle School Students, Academic Standards, Science Education, Learner Engagement
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Codish, David; Rabin, Eyal; Ravid, Gilad – Interactive Learning Environments, 2019
Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a…
Descriptors: Integrated Learning Systems, Case Studies, Behavior Patterns, Learning Analytics
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Bierenstiel, Matthias; Snow, Kathy – Journal of Chemical Education, 2019
The Periodic Table of the Elements (PTE) is arguably one of the most central topics in chemistry. This article provides a critical review of current teaching practices of the PTE to high-school students and undergraduate university students. It also provides a new teaching model, the "periodic universe", for understanding of the PTE…
Descriptors: Chemistry, Science Instruction, Teaching Methods, High School Students
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Veroniki, Areti Angeliki; Pavlides, Marios; Patsopoulos, Nikolaos A.; Salanti, Georgia – Research Synthesis Methods, 2013
A problem that is frequently encountered during the systematic review process is when studies that meet the inclusion criteria do not provide the appropriate numerical estimates to include in a meta-analysis. For dichotomous outcomes, a method has been suggested by Di Pietrantonj for reconstructing the 2 × 2 table when the Odds Ratio…
Descriptors: Meta Analysis, Tables (Data), Statistical Analysis, Error of Measurement
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Chaparro-Pelaez, Julian; Iglesias-Pradas, Santiago; Pascual-Miguel, Felix J.; Hernandez-Garcia, Angel – Interactive Learning Environments, 2013
Although literature about problem based learning (PBL) is not scarce, there is little research on experiences about learning methodologies that combine PBL and the use of simulation tools. This lack of studies is even more notable in the case of engineering courses. The motivation for this study is to show how such a combination of PBL and…
Descriptors: Problem Based Learning, Engineering, Engineering Education, College Students
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Wee, Loo Kang – Physics Education, 2012
We develop an Easy Java Simulation (EJS) model for students to experience the physics of idealized one-dimensional collision carts. The physics model is described and simulated by both continuous dynamics and discrete transition during collision. In designing the simulations, we discuss briefly three pedagogical considerations namely (1) a…
Descriptors: Physics, College Science, Experiential Learning, Feedback (Response)
Fouladi, Rachel T. – 1998
A variety of approaches have been suggested by which to assess the equality of population mean vectors under conditions of population covariance matrix homogeneity and heterogeneity. The nonrobustness of commonly used multivariate tests of means to population covariance matrix heterogeneity has been long documented. However, most studies have…
Descriptors: Correlation, Monte Carlo Methods, Multivariate Analysis, Robustness (Statistics)
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Ruefli, Timothy W.; And Others – Socio-Economic Planning Sciences, 1978
This paper reports on the development and testing of a scheduling system for computer-managed instruction. Simulation results showed how the system would perform with various resource levels, student loads, and entrance frequencies. (Author/IRT)
Descriptors: Computer Managed Instruction, Individualized Instruction, Program Descriptions, Scheduling
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Terborg, James R. – Journal of Applied Psychology, 1976
Relationships among goal setting, monetary incentives, two indexes of motivation, and performance were examined in an experimental simulation. Results suggested that goal-setting and monetary incentives were related independently to measures of motivation and performance. Incentives, however, had no impact on whether or not subjects set…
Descriptors: Goal Orientation, Incentives, Models, Motivation
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Duke, Richard D.; Kemeny, Nicole K. – Simulation and Games, 1989
Reviews the evolution of the journal "Simulation and Games" and examines the various topics addressed by contributors over the past 20 years. A history of gaming and simulation is given, and the results of a content analysis of all articles are provided. (LRW)
Descriptors: Content Analysis, Futures (of Society), Games, Scholarly Journals
Althouse, Linda Akel; Ware, William B.; Ferron, John M. – 1998
The assumption of normality underlies much of the standard statistical methodology. Knowing how to determine whether a sample of measurements is from a normally distributed population is crucial both in the development of statistical theory and in practice. W. Ware and J. Ferron have developed a new test statistic, modeled after the K-squared test…
Descriptors: Monte Carlo Methods, Power (Statistics), Sample Size, Simulation
Spearing, Debra; Woehlke, Paula – 1989
To assess the effect on discriminant analysis in terms of correct classification into two groups, the following parameters were systematically altered using Monte Carlo techniques: sample sizes; proportions of one group to the other; number of independent variables; and covariance matrices. The pairing of the off diagonals (or covariances) with…
Descriptors: Classification, Correlation, Discriminant Analysis, Matrices
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Staw, Barry M.; Ross, Jerry – Administrative Science Quarterly, 1978
Subjects were asked to allocate resources to one of several courses of action and their commitment was measured following a financial setback. Individuals may process information differently after a failure as opposed to a success and this differential processing may account for differences in commitment to policy decisions. (Author/IRT)
Descriptors: Decision Making, Policy, Policy Formation, Psychological Patterns
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Huberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
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Nechyba, Thomas J. – National Tax Journal, 2003
Synthesizes lessons from school finance research that employs computational structural models to investigate different policy proposals. Suggests that full equilibrium analysis may lead to outcomes that differ from those predicted by partial equilibrium models. (Contains 50 references and 47 notes.) (JOW)
Descriptors: Economic Factors, Educational Finance, Models, Policy Formation
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