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What Works Clearinghouse Rating
Ackerman, Terry A. – 1991
This paper examines the effect of using unidimensional item response theory (IRT) item parameter estimates of multidimensional items to create weakly parallel test forms using target information curves. To date, all computer-based algorithms that have been devised to create parallel test forms assume that the items are unidimensional. This paper…
Descriptors: Algorithms, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Peer reviewedDorn, William S. – Journal of Research in Science Teaching, 1975
Describes two types of computer-based experiments: simulation (which assumes no student knowledge of the workings of the computer program) is recommended for experiments aimed at inductive reasoning; and modeling (which assumes student understanding of the computer program) is recommended for deductive processes. (MLH)
Descriptors: College Science, Computer Assisted Instruction, Deduction, Higher Education
McKinley, Robert L. – 1983
The usefulness of a latent trait model designed for use with multidimensional test data was investigated in two stages. The first stage consisted of generating simulation data to fit the multidimensional extension of the two-parameter logistic model, applying the model to the data, and comparing the resulting estimates with the known parameters.…
Descriptors: Factor Analysis, Goodness of Fit, Item Analysis, Latent Trait Theory
Clymer, S. J. – 1981
Conducted to design software partitioning techniques for use by the Air Force to partition a large flight simulator program for optimal execution on alternative configurations, this study resulted in a mathematical model which defines characteristics for an optimal partition, and a manually demonstrated partitioning algorithm design which…
Descriptors: Computer Assisted Instruction, Computer Programs, Databases, Flight Training
REISMAN, ARNOLD; TAFT, MARTIN I.
A MATHEMATICAL MODEL OF ESTABLISHED AND INDUSTRIALLY VALIDATED LEARNING AND FORGETTING THEORIES IS OUTLINED, AND A COMPUTER-EXECUTED HEURISTIC ALGORITHM FOR SELECTING THE BEST SCHEDULE FOR SUBJECT PRESENTATION IS GIVEN. FUNDAMENTAL PARAMETERS OF THE MODEL INCLUDE EDUCATION POTENTIAL, TYPE OF SUBJECT MATTER, TYPE OF LEARNER, TEACHING METHODS, AND…
Descriptors: Algorithms, Computer Oriented Programs, Curriculum Development, Learning Theories
Organisation for Economic Cooperation and Development, Paris (France). – 1967
This volume contains papers, presented at a 1966 OECD meeting, on the possibilities of applying a number of related techniques such as mathematical model building, simulation, and systematic control theory to the problems of educational planning. The authors and their papers are (1) Richard Stone, "A View of the Conference," (2) Hector…
Descriptors: Comparative Education, Economic Development, Educational Planning, Educational Policy
Wise, Steven L.; DeMars, Christine E.; Kong, Xiaojing – Online Submission, 2005
The validity of inferences based on achievement test scores is dependent on the amount of effort that examinees put forth while taking the test. With low-stakes tests, for which this problem is particularly prevalent, there is a consequent need for psychometric models that can take into account different levels of examinee effort. This article…
Descriptors: Item Response Theory, Mathematical Models, Measurement Techniques, Reaction Time
Dean, Peter G. – Programmed Learning & Educational Technology, 1973
There are many educational situations where the student learns by using a model and we are beginning to explore the benefits of using an interactive computer to give a greater understanding of the relationship between the model and the real situation, and also of the real situation. Article gives a broad introduction to applications in the field…
Descriptors: Computer Assisted Instruction, Computer Science, Educational Games, Learning
Peer reviewedNovak, John; Bortz, Alfred B. – American Journal of Physics, 1970
Descriptors: College Science, Computer Assisted Instruction, Computer Programs, Instruction
Roberts, Nancy – Classroom Computer News, 1983
Explains the three main concepts of the system dynamics approach to model building (dynamics, feedback, and systems) and the basic steps to problem solving by simulation applicable to all educational levels. Some DYNAMO commands are briefly described. (EAO)
Descriptors: Computer Assisted Instruction, Education, Feedback, Instructional Materials
Kahne, Stephen – Engineering Education, 1980
This article argues that systems thinking transcends disciplinary boundaries and should be part of everyone's education. Stresses future importance of systems global models and their capacity for planning and decision making on a world scale. A tentative topic outline for a systems approach course at university level is proposed. (Author/SMB)
Descriptors: College Curriculum, Computers, Higher Education, Interdisciplinary Approach
Peer reviewedKumar, Ramesh C.; And Others – Socio-Economic Planning Sciences, 1980
Describes a simulation model that examines the relationship of dropout behavior and re-entry flows in a local school system to changes in local socioeconomic factors, school-related conditions, and aspects of labor market participation. Assesses the policy implications for affecting these flows at the local board level. (Author/IRT)
Descriptors: Dropouts, Educational Environment, Enrollment Projections, Foreign Countries
Peer reviewedSpray, Judith A.; Welch, Catherine J. – Journal of Educational Measurement, 1990
The effect of large, within-examinee item difficulty variability on estimates of the proportion of consistent classification of examinees into mastery categories was studied over 2 test administrations for 100 simulated examinees. The proportion of consistent classifications was adequately estimated using the technique proposed by M. Subkoviak…
Descriptors: Classification, Difficulty Level, Estimation (Mathematics), Item Response Theory
Peer reviewedvan der Ven, A. H. G. S.; Gremmen, F. M. – Applied Psychological Measurement, 1992
A statistical test of the knowledge or random guessing model is presented. A version of the model is introduced in which it is assumed that alternatives can be ordered according to a Guttman scale. Three examples illustrate its application to data from a total of 590 college students. (Author/SLD)
Descriptors: Achievement Tests, College Students, Equations (Mathematics), Guessing (Tests)
Peer reviewedWilliamson, Gary L. – Journal of Experimental Education, 1990
A growth curve approach to longitudinal profile analysis is presented by which univariate and multivariate descriptions of achievement and rate of growth are provided, and intraindividual strengths and weaknesses are computed for profiles of achievement and progress. Analyses are reported for simulated data conforming to a straight-line growth…
Descriptors: Academic Achievement, Achievement Gains, Data Analysis, Individual Characteristics


