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Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
Yoshida, Reiko – Language Awareness, 2008
Corrective feedback (CF) has been investigated in relation to learners' error types that trigger CF and learners' responses to CF. These research findings generally suggest that recasts, the most frequently used type of CF, did not trigger learners' reformulation of their erroneous utterances very frequently. In these studies, however, teachers'…
Descriptors: Feedback (Response), Error Correction, Error Patterns, Japanese
Jermann, Patrick; Dillenbourg, Pierre – Computers & Education, 2008
Two experimental studies test the effect of group mirrors upon quantitative and qualitative aspects of participation in collaborative problem solving. Mirroring tools consist of a graphical representation of the group's actions which is dynamically updated and displayed to the collaborators. In addition, metacognitive tools display a standard for…
Descriptors: Problem Solving, Metacognition, Interaction, Feedback (Response)
Cohen, Jon; Chan, Tsze; Jiang, Tao; Seburn, Mary – Applied Psychological Measurement, 2008
U.S. state educational testing programs administer tests to track student progress and hold schools accountable for educational outcomes. Methods from item response theory, especially Rasch models, are usually used to equate different forms of a test. The most popular method for estimating Rasch models yields inconsistent estimates and relies on…
Descriptors: Testing Programs, Educational Testing, Item Response Theory, Computation
Latham, Luke G., II; Scully, Erik P. – American Biology Teacher, 2008
Evolutionary processes can be studied in nature and in the laboratory, but time and financial constraints result in few opportunities for undergraduate and high school students to explore the agents of genetic change in populations. One alternative to time consuming and expensive teaching laboratories is the use of computer simulations. We…
Descriptors: Computer Simulation, Learning Laboratories, Genetics, Evolution
Fu, Wai-Tat – Cognitive Science, 2008
Griffiths, Christian, and Kalish (this issue) present an iterative-learning paradigm applying a Bayesian model to understand inductive biases in categorization. The authors argue that the paradigm is useful as an exploratory tool to understand inductive biases in situations where little is known about the task. It is argued that a theory developed…
Descriptors: Bayesian Statistics, Schemata (Cognition), Schematic Studies, Psychometrics
Pavlik, John V. – 1986
An interactive simulation program was developed for use in teaching students how to handle public relations problems. The program user is placed in the role of assistant newsletter editor, facing a series of decision-making situations. Each choice the user makes affects the subsequent reality created by the program, which is designed to provide…
Descriptors: Computer Assisted Instruction, Computer Simulation, Educational Media, Higher Education
Sack, Jeff – American Biology Teacher, 2005
OsmoBeaker is a CD-ROM designed to enhance the learning of diffusion and osmosis by presenting interactive experimentation to the student. The software provides several computer simulations that take the student through different scenarios with cells, having different concentrations of solutes in them.
Descriptors: Computer Simulation, Computer Simulation, Computer Assisted Instruction, Science Instruction
Fairweather, Malcolm – Educational Technology, 1976
A discussion of how to construct simulation games for all subject areas in a systematic manner. (HB)
Descriptors: Educational Games, Simulation, Systems Approach
Abrahamson, Stephen; and others – J Med Educ, 1969
Speech delivered at the Conference on Research in Medical Education, 79th Annual Meeting of the Association of American Medical Colleges (Houston, Texas, November 1, 1968).
Descriptors: Anesthesiology, Medical Schools, Simulation, Training
Duncan, Glenn E.; Bauch, Jerold P. – 1969
Georgia Educational Models (GEM) will proceed to utilize computers and simulation to their fullest cost effectiveness potential simultaneously in operation and in research, while avoiding both the restrictions and duplications which come from doctrinaire insistence on maintaining an artificial separation between management and research uses of…
Descriptors: Computer Oriented Programs, Models, Simulation
Wallace, H.M. – 1970
This manual contains 1) a one-page discussion of the development in 1966 of "Policy Negotiation Simulation," a game which simulates the collective bargaining negotiations between school board and teachers' representatives; 2) description of the subsequent use of the Policy Negotiation Simulation as "a simulation for building…
Descriptors: Educational Games, Material Development, Simulation
Fennessey, Gail M. – 1973
The Director's Manual is an important part of any simulation game. This paper provides an outline that will help the game designer prepare a well-organized and effective manual. Six sections that should be in the manual are discussed: the overview of the game, preparing for the game session, the game session, debriefing the game (the post game…
Descriptors: Educational Games, Guidelines, Guides, Simulation
Enzer, Selwyn; And Others – 1969
A simulated planning conference used both informed experts (simulating state planners and societal groups) and "Monte Carlo" procedures (simulating random events) to identify some possible futures for the state of Connecticut and to examine rational planning behavior patterns. In the simulation the participants were divided into two…
Descriptors: Educational Planning, Simulation, Statewide Planning
Dunathan, Arni T. – Audiovisual Instruction, 1978
There are three essential principles that must be met before an activity can be called a game: (1) competition, (2) abstraction, and (3) power. Elements within the principles are varied to give each game a particular style and value. (Author/STS)
Descriptors: Definitions, Educational Games, Games, Simulation

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