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Peer reviewedLawton, Carol A.; Morrin, Kevin A. – Sex Roles: A Journal of Research, 1999
Studied differences in pointing accuracy in computer-simulated mazes as a function of maze complexity and training effects. Results with 219 college students indicate that, although pointing accuracy remained higher for men, pointing performance can be modified by experience. (SLD)
Descriptors: College Students, Computer Assisted Testing, Computer Simulation, Experience
Fister, Sarah – Training, 1999
Use of games in computer-based training (CBT) can enliven material, encourage discovery and experiential learning, and make visceral connections for learners. However, humor can offend or wear thin, and games can be perceived as playing rather than as learning. (JOW)
Descriptors: Adult Education, Computer Assisted Instruction, Computer Simulation, Curriculum Development
Peer reviewedWang, Tianyou; Vispoel, Walter P. – Journal of Educational Measurement, 1998
Used simulations of computerized adaptive tests to evaluate results yielded by four commonly used ability estimation methods: maximum likelihood estimation (MLE) and three Bayesian approaches. Results show clear distinctions between MLE and Bayesian methods. (SLD)
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Peer reviewedWilliamson, David M.; Bejar, Isaac I.; Hone, Anne S. – Journal of Educational Measurement, 1999
Contrasts "mental models" used by automated scoring for the simulation division of the computerized Architect Registration Examination with those used by experienced human graders for 3,613 candidate solutions. Discusses differences in the models used and the potential of automated scoring to enhance the validity evidence of scores. (SLD)
Descriptors: Architects, Comparative Analysis, Computer Assisted Testing, Judges
Peer reviewedBrougere, Gilles – Simulation & Gaming, 1999
This introduction to a special issue on play and simulation/gaming examines the distinction often made between children's play and adult gaming. It illustrates the diversity of play activities and the pedagogical uses of gaming, and demonstrates that these two fields of reflection have everything to gain through mutual enrichment. (AEF)
Descriptors: Adults, Childrens Games, Computer Games, Educational Games
Peer reviewedWindsor, Neville J. – Australian Senior Mathematics Journal, 1998
One way to assist students in developing correct intuitive ideas about the effect of sample size is to allow students to simulate similar problems. Describes experiences with classes performing simulation using graphing calculators. (ASK)
Descriptors: Educational Technology, Graphing Calculators, Mathematics Activities, Mathematics Instruction
Peer reviewedKim, Seock-Ho; Cohen, Allan S. – Applied Psychological Measurement, 1998
Investigated Type I error rates of the likelihood-ratio test for the detection of differential item functioning (DIF) using Monte Carlo simulations under the graded-response model. Type I error rates were within theoretically expected values for all six combinations of sample sizes and ability-matching conditions at each of the nominal alpha…
Descriptors: Ability, Item Bias, Item Response Theory, Monte Carlo Methods
Peer reviewedSparkes, R. A. – Scottish Educational Review, 1999
In Scotland, one "value added" (VA) indicator of secondary school effectiveness measures students' relative "progress" between Standard and Higher grade in particular subjects. When random nonschool factors affecting students' geography performance were computer-simulated to determine VA fluctuation over 25 years, the…
Descriptors: Academic Achievement, Computer Simulation, Departments, Educational Assessment
Peer reviewedPlaut, David C.; Gonnerman, Laura M. – Language and Cognitive Processes, 2000
Carried out simulations in which a set of morphologically-related words varying in semantic transparency were embedded in either a morphologically rich language (Hebrew) or an impoverished artificial language. Found that morphological priming increased with degree of semantic transparency in both languages. (Author/VWL)
Descriptors: Artificial Languages, Cognitive Processes, Hebrew, Language Processing
Peer reviewedEvans, J. G. – Physics Education, 2000
Explores the use of computer simulation/modeling programs for teaching a variety of science concepts. (Author/CCM)
Descriptors: Computer Simulation, Computer Software, Models, Physics
Peer reviewedRiniolo, Todd C.; Schmidt, Louis A. – Teaching of Psychology, 1999
Describes a classroom demonstration called the Gambler's Fallacy where students in an introductory psychology statistics class participate in simulated gambling using weekly results from professional football game outcomes over a 10 week period. Explains that the demonstration illustrates that random processes do not self-correct and statistical…
Descriptors: Educational Strategies, Football, Higher Education, Prediction
Peer reviewedBorlund, Pia – Journal of Documentation, 2000
Discusses the evaluation of interactive information retrieval (IIR) systems and explains two main approaches, system-driven and user-centered. Describes Text Retrieval Conference (TREC), and concludes that the simulated work task situation as an experimental sub-component could be recommended for future evaluation of IIR systems based on empirical…
Descriptors: Computer Simulation, Conferences, Evaluation Methods, Futures (of Society)
Peer reviewedVaidyanathan, Rajiv; Rochford, Linda – Journal of Education for Business, 1998
Marketing students (n=99) used computer simulation, 34 did not. Students who performed well on traditional exams also did well on the simulation. Students who preferred working with others seemed to perform more poorly on both the exam and the simulation. (SK)
Descriptors: Academic Achievement, Business Administration Education, Cognitive Style, Computer Simulation
Peer reviewedSanchez-Meca, Julio; Marin-Martinez, Fulgencio – Educational and Psychological Measurement, 1998
The bias and relative efficiency of two alternative estimators of optimal weights in meta-analysis were assessed through Monte Carlo simulation, defining the standardized mean differences as the effect-size index. The estimator proposed by L. Hedges and I. Olkin (1985) was more efficient than that of J. Hunter and F. Schmidt (1990). (SLD)
Descriptors: Effect Size, Estimation (Mathematics), Meta Analysis, Monte Carlo Methods
Peer reviewedRethans, Jan-Joost – Journal of Continuing Education in the Health Professions, 1998
Standardized patients are subjects who accurately and consistently simulate presentation of medical cases as a method of assessing physician performance. This method is direct, valid, reliable, and feasible when focused on the patient-doctor interaction. (SK)
Descriptors: Medical Case Histories, Medical Education, Needs Assessment, Physician Patient Relationship


