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 |
Schnipke, Deborah L.; Roussos, Louis A.; Pashley, Peter J. – 2000
Differential item functioning (DIF) analyses are conducted to investigate how items function in various subgroups. The Mantel-Haenszel (MH) DIF statistic is used at the Law School Admission Council and other testing companies. When item functioning can be well-described in terms of a one- or two-parameter logistic item response theory (IRT) model…
Descriptors: College Entrance Examinations, Comparative Analysis, Item Bias, Item Response Theory
PDF pending restorationGreen, Bert F. – 2002
Maximum likelihood and Bayesian estimates of proficiency, typically used in adaptive testing, use item weights that depend on test taker proficiency to estimate test taker proficiency. In this study, several methods were explored through computer simulation using fixed item weights, which depend mainly on the items difficulty. The simpler scores…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies
McGee, Steven; Corriss, Darlene; Shia, Regina – 2001
This study investigated changes in students' cognitive reasoning as they analyzed the dynamics of a rainforest ecosystem (El Yunque) in the aftermath of a hurricane in Puerto Rico. Students explore the virtual rainforest to study what happened to a type of frog after the hurricane. The culminating event is a simulation in which students manipulate…
Descriptors: Cognitive Processes, Computer Simulation, Middle School Students, Middle Schools
Hong, Namsoo S.; McGee, Steven; Howard, Bruce C. – 2001
This study explored the mental components that are most important for successful problem solving. Four components were studied: cognition, metacognition, noncognitive variables, and justification skills. It was hypothesized that cognition and knowledge of cognition would predict success at solving well-structured problems, which have one correct…
Descriptors: Astronomy, Cognitive Processes, Computer Simulation, High School Students
Reese, Lynda M.; Schnipke, Deborah L. – 1999
A two-stage design provides a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and based on their scores, they are routed to tests of different difficulty levels in the second stage. This design provides some of the benefits of standard computer adaptive testing (CAT), such as increased…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
van der Linden, Wim J.; Reese, Lynda M. – 2001
A model for constrained computerized adaptive testing is proposed in which the information on the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, College Entrance Examinations, Computer Assisted Testing
Clariana, Roy B. – 2000
Connectionist models apply various mathematical rules within neural network computer simulations in an effort, among other things, to mimic and describe human memory associations and learning. Learning involves the interaction of information provided by instruction with existing information already in the learner's memory (Ausubel, 1968; Bruner,…
Descriptors: Cognitive Processes, Computer Simulation, Feedback, High School Students
Calef, Chris; Vilbrandt, Turlif; Vilbrandt, Carl; Goodwin, Janet; Goodwin, James – 2002
As museums and educators struggle with the challenges of presenting their material in a digital format, many overlook the application that has spearheaded the development of virtual reality for the average consumer: 3D realtime game engines. These 3D game engines offer greater versatility, usability, maturity, simulation, and codebase than most…
Descriptors: Computer Games, Computer Simulation, Foreign Countries, Higher Education
Knerr, Charles R.; Sommerman, Andrew B. – 2000
This paper describes the use of simulated appellate court proceedings as an educational tool in U.S. undergraduate colleges and universities (and schools worldwide). Undergraduate moot court is less common in the United States than is the law school form of appellate simulation. Research shows that moot courts benefit students as they perform…
Descriptors: Experiential Learning, Higher Education, Internet, Law Students
Stucky, Melanie; Eberle, April; Cale, Stephen – 1999
This mock trial curriculum is intended to help high school students learn about the law and the legal system. The curriculum is divided into the following sections: Statement of the Case, Stipulations, Legal Authorities, Witness Statements/Narrative Report (Prosecution Witnesses; Defense Witnesses), and Exhibits (Statement of Miranda Rights; Front…
Descriptors: Citizenship Education, Court Litigation, High School Students, High Schools
Roussos, Louis; Nandakumar, Ratna; Cwikla, Julie – 2000
CATSIB is a differential item functioning (DIF) assessment methodology for computerized adaptive test (CAT) data. Kernel smoothing (KS) is a technique for nonparametric estimation of item response functions. In this study an attempt has been made to develop a more efficient DIF procedure for CAT data, KS-CATSIB, by combining CATSIB with kernel…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Bias, Item Response Theory
Applications of the Analytically Derived Asymptotic Standard Errors of IRT Item Parameter Estimates.
Li, Yuan H.; Lissitz, Robert W. – 2000
The analytically derived expected asymptotic standard errors (SEs) of maximum likelihood (ML) item estimates can be predicted by a mathematical function without examinees' responses to test items. The empirically determined SEs of marginal maximum likelihood estimation/Bayesian item estimates can be obtained when the same set of items is…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Maximum Likelihood Statistics
Mitchell, P. David – Educational Technology, 1973
Article describes a lab to investigate instructional decisions and to help instructors acquire new strategies. It consists of a computer simulation of a set of students which permits the user, cast in the role of teacher, to make pre-instructional decisions. (Author)
Descriptors: College Faculty, Communications, Computer Assisted Instruction, Computer Science
Ressler, Ralph – Man/Society/Technology, 1973
Simulation can take advantage of the characteristics of the younger child more readily than the project. The challenge to industrial arts education is clear: The project method should be augmented with career simulation experiences associated with industrial technology--especially at the elementary school level. (Author/SA)
Descriptors: Career Education, Educational Games, Industrial Arts, Industrial Education


