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Molyneux-Hodgson, Susan; Mochon, Simon – 1997
This paper is concerned with the role of spreadsheets as a tool for the development of mathematical models in science, one aspect of a collaborative project which worked with two groups of pre-university students from Mexico and the United Kingdom. The purpose of the modeling activities designed was to engage students in creating an…
Descriptors: Biology, Chemistry, Computer Uses in Education, Foreign Countries
Laughbaum, Edward D. – 2000
Hand-held data collection technology allows for access to real-world data collection--at any other time and almost any place. Is the use of data and its collection desirable to the mathematical learning process? The answer is a resounding yes! Not only can significant mathematical ideas be taught in the process; colleagues are also helped in the…
Descriptors: Calculus, Educational Technology, Graphing Calculators, Mathematical Models
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 reviewedCohn, Elchanan; Hu, Teh-Wei – Journal of Educational Administration, 1973
Proposes that specific programs of study, rather than school size, be used as the unit of analysis in assessing educational costs. (WM)
Descriptors: Class Size, Data Analysis, Educational Economics, Mathematical Models
Peer reviewedCarss, Brian W. – Journal of Educational Administration, 1973
The proposed model can be likened to a moving least squares'' model. It uses a data search procedure in which the intent is to evaluate a number of variables substantively, rather than in terms of formal statistical procedures. (Author)
Descriptors: Educational Planning, Elementary Education, Enrollment Projections, Mathematical Models
Peer reviewedBunda, Mary Anne – Journal of Educational Measurement, 1973
Procedures to be applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. (Author/CB)
Descriptors: Data Collection, Group Norms, Individual Testing, Item Sampling
Peer reviewedRine, David C. – Linguistics, 1973
Descriptors: Computational Linguistics, Diagrams, Language Instruction, Mathematical Applications
Domotor, Zoltan – Journal of Structural Learning, 1971
Descriptors: Behavior, Instruction, Learning, Learning Theories
Peer reviewedFisher, Nancy Capozzolo – Arithmetic Teacher, 1973
Descriptors: Elementary School Mathematics, Instruction, Manipulative Materials, Mathematical Models
Peer reviewedYoung, Forrest W.; Cliff, Norman – Psychometrika, 1972
A metric multidimensional scaling (MDS) procedure based on computer-subject interaction is developed, and an experiment designed to validate the procedure is presented. (Author)
Descriptors: Algorithms, Mathematical Models, Multidimensional Scaling, Predictive Measurement
Peer reviewedBrunton, James – Mathematics in School, 1973
Descriptors: Educational Media, Elementary School Mathematics, Geometric Concepts, Manipulative Materials
Peer reviewedKarp, Laenu A. G. – Journal of Experimental Education, 1972
To reduce the cost of in-the-school experiment, this study, which is an attempt to quantify redundancy in a learning situation, was carried out using a numerical procedure. The variables include student I.Q., lesson time, wasted time, teacher experience, and redundancy. (Author/CB)
Descriptors: Classroom Communication, Intelligence Quotient, Mathematical Models, Redundancy
Peer reviewedSchmidt, Frank L. – Educational and Psychological Measurement, 1972
Descriptors: Mathematical Models, Multiple Regression Analysis, Predictor Variables, Psychological Testing
Peer reviewedKristof, Walter – Psychometrika, 1973
Paper is concerned with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. (Author/RK)
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Mathematical Models
Peer reviewedBowlby, Rogert L.; Schriver, William R. – Industrial and Labor Relations Review, 1973
Descriptors: Academic Ability, Analysis of Covariance, Cost Effectiveness, Low Ability Students


