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Armstrong, Ronald D.; Shi, Min – Journal of Educational Measurement, 2009
This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics…
Descriptors: Probability, Simulation, Models, Psychometrics
Sins, Patrick H. M.; Savelsbergh, Elwin R.; van Joolingen, Wouter R.; van Hout-Wolters, Bernadette H. A. M. – International Journal of Science Education, 2009
While many researchers in science education have argued that students' epistemological understanding of models and of modelling processes would influence their cognitive processing on a modelling task, there has been little direct evidence for such an effect. Therefore, this study aimed to investigate the relation between students' epistemological…
Descriptors: Educational Practices, Computer Simulation, Cognitive Processes, Epistemology
Klabbers, Jan H. G. – Simulation & Gaming, 2009
Since its introduction in academia and professional practice during the 1950s, gaming has been linked to simulation. Although both fields have a few important characteristics in common, they are distinct in their form and underlying theories of knowledge and methodology. Nevertheless, in the literature, hybrid terms such as "gaming/simulation" and…
Descriptors: Educational Games, Figurative Language, Simulation, Definitions
Murphy, Daniel L.; Pituch, Keenan A. – Journal of Experimental Education, 2009
The authors examined the robustness of multilevel linear growth curve modeling to misspecification of an autoregressive moving average process. As previous research has shown (J. Ferron, R. Dailey, & Q. Yi, 2002; O. Kwok, S. G. West, & S. B. Green, 2007; S. Sivo, X. Fan, & L. Witta, 2005), estimates of the fixed effects were unbiased, and Type I…
Descriptors: Sample Size, Computation, Evaluation Methods, Longitudinal Studies
Koch, Douglas – Journal of Technology Education, 2011
The purpose of this study was to determine whether or not the use of solid modeling software increases participants' success in solving a specified technical problem and how visualization affects their ability to solve a technical problem. Specifically, the study sought to determine if (a) students' visualization skills affect their problem…
Descriptors: Engineering Technology, Spatial Ability, Visualization, Perception Tests
Vendlinski, Terry P.; Baker, Eva L.; Niemi, David – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
Assessing whether students can both re-present a corpus of learned knowledge and also demonstrate that they can apply that knowledge to solve problems is key to assessing student understanding. This notion, in turn, impacts our thinking about what we assess, how we author such assessments, and how we interpret assessment results. The diffusion of…
Descriptors: Student Evaluation, Educational Research, Models, Problem Solving
Evans, Vyvyan – Language Learning, 2008
Recent work addressing the phenomenon of perceptual simulation offers new and exciting avenues of investigating how to model knowledge representation. From the perspective of language, the simulation approach has given rise to new impetus to work on models of language understanding (e.g., Zwaan, 2004, and references therein), and provides a way of…
Descriptors: Semantics, Language Role, Knowledge Representation, Language Processing
Pitt, Mark A.; Myung, Jay I.; Montenegro, Maximiliano; Pooley, James – Cognitive Science, 2008
A primary criterion on which models of cognition are evaluated is their ability to fit empirical data. To understand the reason why a model yields a good or poor fit, it is necessary to determine the data-fitting potential (i.e., flexibility) of the model. In the first part of this article, methods for comparing models and studying their…
Descriptors: Auditory Perception, Computation, Schemata (Cognition), Comparative Analysis
Cornell, Revonda Leota – ProQuest LLC, 2009
The "Health Professions Education: A Bridge to Quality" (IOM, 2003) proposed strategies for higher education leaders and faculty to transform their institutions in ways that address the healthcare problems. This study provides higher education leaders and faculty with empirical data about the processes of change involved to implement the…
Descriptors: Higher Education, Nursing Education, Health Services, Information Science
National Institute of General Medical Sciences (NIGMS), 2009
Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through one's school, and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could…
Descriptors: Science Careers, Computers, Genetics, Biology
Ornek, Funda – Asia-Pacific Forum on Science Learning and Teaching, 2009
The purpose of this study was to investigate how modeling-based instruction combined with an interactive-engagement teaching approach promotes students' problem solving abilities. I focused on students in a calculus-based introductory physics course, based on the matter and interactions curriculum of Chabay & Sherwood (2002) at a large state…
Descriptors: Physics, Problem Solving, Calculus, Teaching Methods
Petridou, E.; Psillos, D.; Hatzikraniotis, E.; Viiri, J. – Physics Education, 2009
As research shows that the knowledge and use of models and modelling by teachers is limited, particularly for predicting phenomena, we developed and applied a sequence of three representations of a simulated model focusing on polarization and specifically showing the behaviour of an atom, and forces exerted on a dipole and an insulator, when a…
Descriptors: Preservice Teachers, Science Activities, Science Instruction, Physics
Wyse, Adam E.; Mapuranga, Raymond – International Journal of Testing, 2009
Differential item functioning (DIF) analysis is a statistical technique used for ensuring the equity and fairness of educational assessments. This study formulates a new DIF analysis method using the information similarity index (ISI). ISI compares item information functions when data fits the Rasch model. Through simulations and an international…
Descriptors: Test Bias, Evaluation Methods, Test Items, Educational Assessment
Merrifield, John – Journal of School Choice, 2009
Pressing questions about the merits of market accountability in K-12 education have spawned a large scholarly literature. Unfortunately, much of that literature is of limited relevance, and much of it is misleading. The studies most widely cited in the United States used intense scrutiny of a few small-scale, restriction-laden U.S. school choice…
Descriptors: Accountability, Elementary Secondary Education, School Choice, Competition
Bassano, Dominique; van Geert, Paul – Developmental Science, 2007
The confluence of an anomaly such as a growth spurt or a temporary regression on the one hand and a temporary increase in intra-individual variability on the other hand, forms a strong indicator of a major transition in early language development. Data concern one-word (W1), two- and three-word (W2-3), and four-and-more-word (W4+) utterances from…
Descriptors: Grammar, Language Acquisition, Regression (Statistics), Children

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