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Peer reviewedHarley, Trevor A. – Language and Cognitive Processes, 1995
Examines Nickels's claim that interactive models of lexical access in speech production cannot account for naming data from a group of anomic patients. This paper reiterates that the behavior of connectionist models is not easily predictable without running the appropriate simulations, and discusses the role of frequency in lexical access in…
Descriptors: Aphasia, Cognitive Processes, Connected Discourse, Error Analysis (Language)
Peer reviewedSmith, Richard M. – Educational and Psychological Measurement, 1994
Simulated data are used to assess the appropriateness of using separate calibration and between-fit approaches to detecting item bias in the Rasch rating scale model. Results indicate that Type I error rates for the null distribution hold even when there are different ability levels for reference and focal groups. (SLD)
Descriptors: Ability, Goodness of Fit, Identification, Item Bias
Peer reviewedEdwardson, Mickie; And Others – Journal of Broadcasting and Electronic Media, 1992
Describes a study with undergraduate students that examined whether the appearance of graphics and other visuals in a television newscast would result in lower recall of audio content, whether such visuals would promote comprehension of each story as a whole, and whether subjects would prefer stories with visuals. (24 references) (LRW)
Descriptors: Cognitive Processes, Higher Education, Hypothesis Testing, Listening Comprehension
Wager, Walter W.; And Others – Performance Improvement Quarterly, 1992
Examines factors affecting selection and development of computer simulations, including type of learner, simulation formats, instructional purposes, learning outcomes, fidelity, learning stages, and logistical issues. A flowchart model and set of prescriptions to help designers arrive at specifications for an instructional simulation are…
Descriptors: Check Lists, Computer Simulation, Computer Software Development, Computer Software Selection
Campbell, Robert; Monson, David – Educational Technology, 1994
Explains goal-based scenario (GBS) learning environments. Topics discussed include defining educational requirements; characteristics of a GBS, including hardware and software; an example of a GBS currently in operation to teach client consulting skills, including user reactions; assessing learning; the use of simulation; and the roles of the…
Descriptors: Business Administration Education, Computer Assisted Instruction, Computer Simulation, Consultants
Peer reviewedConnelly, Rachel – Demography, 1992
This article considers self-employment and providing child care as occupational strategies for mothers with young children more often than for women without young children. These strategies for women's participation in the labor force are studied in view of the influence of child care needs on employment decisions of women with young children.…
Descriptors: Career Choice, Child Care Occupations, Child Caregivers, Day Care
Andrews, Dee H.; Dineen, Toni; Bell, Herbert H. – Educational Technology, 1999
Discusses the use of constructive modeling and virtual simulation in team training; describes a military application of constructive modeling, including technology issues and communication protocols; considers possible improvements; and discusses applications in team-learning environments other than military, including industry and education. (LRW)
Descriptors: Case Studies, Computer Simulation, Educational Environment, Industrial Training
Peer reviewedFisher, Brian W. – School Science Review, 1997
States that constructive thinking about variables seems to be a key to accelerated learning in science and that computer modeling can enable this. A taped sequence of a group in the exploratory use of a model reveals the potential of such activity. (Author/ASK)
Descriptors: Computer Simulation, Computer Uses in Education, Constructivism (Learning), Elementary Secondary Education
Alsop, Brent – Journal of the Experimental Analysis of Behavior, 2004
Quantitative analyses of stimulus control and reinforcer control in conditional discriminations and delayed matching-to-sample procedures often encounter a problem; it is not clear how to analyze data when subjects have not made errors. The present article examines two common methods for overcoming this problem. Monte Carlo simulations of…
Descriptors: Behavior Modification, Short Term Memory, Animals, Animal Behavior
Using Data Augmentation and Markov Chain Monte Carlo for the Estimation of Unfolding Response Models
Johnson, Matthew S.; Junker, Brian W. – Journal of Educational and Behavioral Statistics, 2003
Unfolding response models, a class of item response theory (IRT) models that assume a unimodal item response function (IRF), are often used for the measurement of attitudes. Verhelst and Verstralen (1993)and Andrich and Luo (1993) independently developed unfolding response models by relating the observed responses to a more common monotone IRT…
Descriptors: Markov Processes, Item Response Theory, Computation, Data Analysis
Hasenekoglu, Ismet; Timucin, Melih – Online Submission, 2007
The aim of this study is to collect and evaluate opinions of CAI experts and biology teachers about a high school level Computer Assisted Biology Instruction Material presenting computer-made modelling and simulations. It is a case study. A material covering "Nucleic Acids and Protein Synthesis" topic was developed as the…
Descriptors: Teacher Attitudes, Computer Software, Measures (Individuals), Genetics
Cartelli, Antonio, Ed. – Information Science Publishing, 2006
"Teaching in the Knowledge Society: New Skills and Instruments for Teachers" covers a pedagogical survey of the changes induced by information and communication technology (ICT) in today's society and education. It critically analyzes facts, instruments, solutions, and strategies while suggesting interpretations and hypotheses to develop a new way…
Descriptors: Information Technology, Technology Uses in Education, Instruction, Electronic Learning
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
Items with the highest discrimination parameter values in a logistic item response theory (IRT) model do not necessarily give maximum information. This paper shows which discrimination parameter values (as a function of the guessing parameter and the distance between person ability and item difficulty) give maximum information for the…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
de Vos, Henny – 1995
School-effectiveness research is constrained by ambiguous factors of effectiveness and a lack of theory. This paper presents findings of a study that used simulation to improve school-effectiveness theory. Simulation is also used to explore the direct effects of schools on individual learning. After introducing simulation models, the paper…
Descriptors: Academic Achievement, Educational Policy, Effective Schools Research, Foreign Countries
Stone, Gregory Ethan – 1994
The quality of fit between the data and the measurement model is fundamental to any discussion of results. Fit has been the subject of inquiry since as early as the 1920s. Most early explorations concentrated on assessing global fit or subset fits on fixed length, traditional paper and pencil tests given as a single unit. The detection of aberrant…
Descriptors: Adaptive Testing, Computer Assisted Testing, Educational Assessment, Educational History

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