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Knerr, Charles R.; Sommerman, Andrew B. – 2000
Appellate court simulations, also known as "moot court" and "mock Supreme Court," are widely used in U.S. colleges and universities, especially by law schools. Undergraduate appellate simulation is less widely used and less well known. This document describes some U.S. undergraduate appellate simulation activities and focuses…
Descriptors: Court Litigation, Higher Education, Program Descriptions, Simulation
Ruggieri-Vande Putte, Katherine – 1995
Intended for use in grades 2-6, this workbook uses an interactive simulation that teaches community cooperation skills. The unit is designed so that jobs, responsibilities, and requirements can be added or modified to provide a comfortable fit for every classroom. Students define their local community, identify local community workers, understand…
Descriptors: Community Cooperation, Community Involvement, Cooperative Learning, Elementary Education
Chang, Shun-Wen; Twu, Bor-Yaun – 2001
To satisfy the security requirements of computerized adaptive tests (CATs), efforts have been made to control the exposure rates of optimal items directly by incorporating statistical methods into the item selection procedure. Since differences are likely to occur between the exposure control parameter derivation stage and the operational CAT…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Glas, C. A. W. – 2003
In computerized adaptive testing, updating item parameter estimates using adaptive testing data is often called online calibration. This study investigated how to evaluate whether the adaptive testing data used for online calibration sufficiently fit the item response model used. Three approaches were investigated, based on a Lagrange multiplier…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Quality Control
Li, Yuan H.; Schafer, William D. – 2002
An empirical study of the Yen (W. Yen, 1997) analytic formula for the standard error of a percent-above-cut [SE(PAC)] was conducted. This formula was derived from variance component information gathered in the context of generalizability theory. SE(PAC)s were estimated by different methods of estimating variance components (e.g., W. Yens…
Descriptors: Cutting Scores, Error of Measurement, Generalizability Theory, Simulation
Kutina, Kenneth L.; Zullig, Craig M.; Starkman, Glenn D.; Tanski, Laura E. – 2002
A model for simulating college and university operations, finances, program investments, and market response in terms of applicants, acceptances, and retention has been developed and implemented using the system dynamics approach. The Model for University Strategic Evaluation (MUSE) is a simulation of the total operations of the university,…
Descriptors: Colleges, Evaluation Methods, Higher Education, Institutional Evaluation
Egan, Karla L.; Sireci, Stephen G.; Swaminathan, Hariharan; Sweeney, Kevin P. – 1998
The primary purpose of this study was to assess the effect of item bundling on multidimensional data. A second purpose was to compare three methods for assessing dimensionality. Eight multidimensional data sets consisting of 100 items and 1,000 examinees were simulated varying in terms of dimensionality, inter-dimensional correlation, and number…
Descriptors: Certified Public Accountants, Evaluation Methods, Licensing Examinations (Professions), Simulation
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2000
Information based item selection methods in computerized adaptive tests (CATs) tend to choose the item that provides maximum information at an examinee's estimated trait level. As a result, these methods can yield extremely skewed item exposure distributions in which items with high "a" values may be overexposed, while those with low…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Deng, Hui; Chang, Hua-Hua – 2001
The purpose of this study was to compare a proposed revised a-stratified, or alpha-stratified, USTR method of test item selection with the original alpha-stratified multistage computerized adaptive testing approach (STR) and the use of maximum Fisher information (FSH) with respect to test efficiency and item pool usage using simulated computerized…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
Roberts, James S.; Donoghue, John R.; Laughlin, James E. – 1999
The generalized graded unfolding model (GGUM) (J. Roberts, J. Donoghue, and J. Laughlin, 1998) is an item response theory model designed to analyze binary or graded responses that are based on a proximity relation. The purpose of this study was to assess conditions under which item parameter estimation accuracy increases or decreases, with special…
Descriptors: Estimation (Mathematics), Item Response Theory, Maximum Likelihood Statistics, Sample Size
Peer reviewed Peer reviewed
Cassel, Russell N. – Contemporary Education, 1974
Descriptors: Educational Games, Game Theory, Problem Solving, Role Playing
Suessmuth, Patrick – Canadian Training Methods, 1973
In the exercise the task is to build a hydro electric tower. The students have responsibilities ranging from planning and objective setting to ordering materials and actual assembly. (MS)
Descriptors: Administrator Education, Leadership Training, Management Development, Management Games
Adelman, Clem; Walker, Rob – Classroom Interaction Newsletter, 1973
Describes in detail communication games used with student teachers to make them more able and sensitive in classroom settings. (JA)
Descriptors: Game Theory, Games, Humanization, Role Playing
Lawford, Richard – Elements Of Technology, 1974
Simulation games are currently being used to teach high school students how to forecast the weather. The students are cast in the roles of forecasters given meteorological information to predict the weather and, in addition, how it will affect the lifestyles of a particular area. (DS)
Descriptors: Educational Games, Game Theory, Meteorology, Prediction
Peer reviewed Peer reviewed
Heldt, Verlyn W.; And Others – Research in Higher Education, 1973
This simulation study determined whether the value positions taken by 3 college constituency groups (faculty, students, and community boards) on problems in curriculum, student affairs, and personnel influenced decisions made by administration groups. (Author)
Descriptors: Administrative Policy, Decision Making, Educational Administration, Higher Education
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