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Vendlinski, Terry – 2002
This study used a computerized simulation and problem-solving tool along with artificial neural networks (ANN) as pattern recognizers to identify the common types of strategies high school and college undergraduate chemistry students would use to solve qualitative chemistry problems. Participants were 134 high school chemistry students who used…
Descriptors: Chemistry, High School Students, High Schools, Learning Strategies
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 reviewed Peer reviewed
Cohn, 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 reviewed Peer reviewed
Carss, 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 reviewed Peer reviewed
Bunda, 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 reviewed Peer reviewed
Rine, 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 reviewed Peer reviewed
Fisher, Nancy Capozzolo – Arithmetic Teacher, 1973
Descriptors: Elementary School Mathematics, Instruction, Manipulative Materials, Mathematical Models
Peer reviewed Peer reviewed
Young, 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 reviewed Peer reviewed
Brunton, James – Mathematics in School, 1973
Descriptors: Educational Media, Elementary School Mathematics, Geometric Concepts, Manipulative Materials
Peer reviewed Peer reviewed
Karp, 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 reviewed Peer reviewed
Schmidt, Frank L. – Educational and Psychological Measurement, 1972
Descriptors: Mathematical Models, Multiple Regression Analysis, Predictor Variables, Psychological Testing
Peer reviewed Peer reviewed
Kristof, 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
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