Publication Date
| In 2026 | 0 |
| Since 2025 | 792 |
| Since 2022 (last 5 years) | 4001 |
| Since 2017 (last 10 years) | 7917 |
| Since 2007 (last 20 years) | 13794 |
Descriptor
Source
Author
| Wang, Wen-Chung | 29 |
| de Jong, Ton | 28 |
| Chang, Hua-Hua | 24 |
| Meijer, Rob R. | 24 |
| Cohen, Allan S. | 23 |
| Nandakumar, Ratna | 23 |
| Mislevy, Robert J. | 22 |
| Sinharay, Sandip | 21 |
| Gwo-Jen Hwang | 20 |
| Reckase, Mark D. | 20 |
| Cai, Li | 18 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 1775 |
| Teachers | 1336 |
| Researchers | 450 |
| Students | 202 |
| Administrators | 122 |
| Policymakers | 72 |
| Community | 15 |
| Counselors | 14 |
| Media Staff | 14 |
| Parents | 10 |
| Support Staff | 6 |
| More ▼ | |
Location
| Australia | 373 |
| Turkey | 313 |
| United Kingdom | 271 |
| China | 268 |
| Canada | 253 |
| Taiwan | 232 |
| United States | 202 |
| Germany | 189 |
| Spain | 185 |
| California | 156 |
| Indonesia | 145 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 5 |
| Does not meet standards | 3 |
Peer reviewedTomlinson, Brian; Masuhara, Hitomi – Simulation & Gaming, 2000
Describes the advantages of simulations over real-life tasks in courses in instructional materials development. Explains how to develop a simulation, including setting objectives, considering learning and gaming principles, and evaluation; and discusses simulation as an experiential approach that is cost effective. (Contains 45 references.) (LRW)
Descriptors: Cost Effectiveness, Educational Objectives, Evaluation Methods, Experiential Learning
Peer reviewedAlessi, Stephen – Simulation & Gaming, 2000
Describes a model of instructional simulation design where designers create models in a system dynamics package and then transfer them into a general instructional authoring system for the addition of instructional support features. Topics include building versus using simulations; procedural versus conceptual simulations; and discovery versus…
Descriptors: Authoring Aids (Programming), Discovery Learning, Educational Environment, Instructional Design
Peer reviewedDoyle, Declan; Brown, F. William – Journal of European Industrial Training, 2000
Five teams of postgraduate business students in three countries participate din a business strategy simulation game using e-mail and videoconferencing. The pilot study showed the need for technical support and a game administrator and the importance of making simulated competition conditions as realistic as possible to enable transfer of learning.…
Descriptors: Business Education, Competition, Computer Simulation, Foreign Countries
Peer reviewedKim, Henry M. – Internet Research, 2000
An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…
Descriptors: Business, Computer Simulation, Decision Making, Modeling (Psychology)
Peer reviewedShapiro, David W.; Seidman, Steven – International Journal of Instructional Media, 1996
Discusses incorporating interactive multimedia into the Baseball Hall of Fame in Cooperstown, New York. Presents examples of interactive exhibits from other museums and suggests ideas for the Hall of Fame to pursue: simulations of batting, signal use, and umpiring; a quiz show; a visitor poll; CD-ROM software; and an interactive database.…
Descriptors: Baseball, Computer Simulation, Databases, Exhibits
Peer reviewedStarkey, Brigid A.; Blake, Elizabeth L. – Simulation & Gaming, 2001
Discusses the educational implications of simulations in international relations. Highlights include the development of international relations simulations; the role of technology; the International Communication and Negotiation Simulations (ICONS) project at the University of Maryland; evolving information technology; and simulating real-world…
Descriptors: Higher Education, Information Technology, International Education, International Relations
Peer reviewedBaker, Bruce D.; Richards, Craig E. – Journal of Education Finance, 2002
Discusses the use of dynamic systems modeling in the field of school finance policy. Provides detailed description of the use of computer-based systems-modeling simulations to New Jersey school finance equity problems. (Contains 37 references.) (PKP)
Descriptors: Computer Simulation, Educational Finance, Elementary Secondary Education, Financial Policy
Peer reviewedBernstein, Jeffrey L.; Scheerhorn, Sarah; Ritter, Sara – College Teaching, 2002
Describes an experience using students as assistants in a simulation-based instructional unit of a large introductory American government class. The assistants had participated in the simulation as students and came back to serve as part of an independent study project. The assistants facilitated the use of simulation in a large class where it…
Descriptors: College Students, Higher Education, Instructional Innovation, Introductory Courses
Peer reviewedVessey, Judith A.; Huss, Karen – Journal of Professional Nursing, 2002
Graduating nurse practitioners (n=26) completed simulated clinical encounters with standardized patients. Their performance did not reflect their results on other clinical evaluations and national certifying examinations, suggesting that simulated encounters lack validity and reliability. They may be useful for formative learning. (Contains 38…
Descriptors: Clinical Experience, Higher Education, Nurse Practitioners, Nursing Education
Peer reviewedvan der Linden, Wim J.; Glas, Cees A. W. – Applied Measurement in Education, 2000
Performed a simulation study to demonstrate the dramatic impact of capitalization on estimation errors on ability estimation in adaptive testing. Discusses four different strategies to minimize the likelihood of capitalization in computerized adaptive testing. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Peer reviewedChang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1999
Proposes a new multistage adaptive-testing procedure that factors the discrimination parameter (alpha) into the item-selection process. Simulation studies indicate that the new strategy results in tests that are well-balanced, with respect to item exposure, and efficient. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
Peer reviewedBolt, Daniel M. – Applied Measurement in Education, 1999
Examined whether the item response theory (IRT) true-score equating method is more adversely affected by the presence of multidimensionality than two conventional equating methods, linear and equipercentile equating. Results of two simulation studies suggest that the IRT method performs as well as the conventional methods when the correlation…
Descriptors: Correlation, Equated Scores, Item Response Theory, Simulation
Peer reviewedGessaroli, Marc E.; De Champlain, Andre F. – Journal of Educational Measurement, 1996
Proposed an approximate chi square statistic based on the nonlinear factor representation of R. McDonald (1967) and investigated it with simulated data. The approximate chi square statistics had good control over Type I errors when unidimensional data were generated and displayed good power in identifying the two-dimensional data. (SLD)
Descriptors: Chi Square, Factor Analysis, Item Response Theory, Responses
Peer reviewedRheinheimer, David C.; Penfield, Douglas A. – Journal of Experimental Education, 2001
Studied, through Monte Carlo simulation, the conditions for which analysis of covariance (ANCOVA) does not maintain adequate Type I error rates and power and evaluated some alternative tests. Discusses differences in ANCOVA robustness for balanced and unbalanced designs. (SLD)
Descriptors: Analysis of Covariance, Monte Carlo Methods, Power (Statistics), Research Design
Peer reviewedKlockars, Alan J.; Beretvas, S. Natasha – Journal of Experimental Education, 2001
Compared the Type I error rate and the power to detect differences in slopes and additive treatment effects of analysis of covariance (ANCOVA) and randomized block designs through a Monte Carlo simulation. Results show that the more powerful option in almost all simulations for tests of both slope and means was ANCOVA. (SLD)
Descriptors: Analysis of Covariance, Monte Carlo Methods, Power (Statistics), Research Design


