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Yates, Daniel S. – Curriculum Review, 1979
The controversy over what should be included in the mathematics curriculum is analyzed. Positions of the National Advisory Committee on Mathematics Education (NACOME), the National Institute of Education (NIE), and the National Council of Supervisors of Mathematics (NCSM) are outlined. The NCSM list of basic mathematics skill areas is presented.…
Descriptors: Basic Skills, Computation, Curriculum Development, Educational Needs

Christmann, Edwin P.; Badgett, John L. – Journal of Computing in Higher Education, 1997
A study compared the effects of microcomputer-based software and hand-held calculators on the statistics achievement of 50 graduate students. Results showed no significant difference between computer and calculator groups or between genders but did show an interaction effect. Males using microcomputers outperformed 82% of females using…
Descriptors: Academic Achievement, Calculators, College Instruction, Computation

Slanina, Anne M. – Journal of Early Education and Family Review, 2003
Addresses how the early childhood educator can develop mathematical concepts in the context of goals and standards set by the National Council of Teachers of Mathematics and simultaneously enhance literacy development. Includes suggestions for daily story time using children's books with strong mathematics and science connections, and for teaching…
Descriptors: Books, Childrens Literature, Computation, Developmentally Appropriate Practices

Behrend, Jean L. – Teaching Children Mathematics, 2001
Demonstrates the consequences of teaching rules without understanding using examples from two 3rd grade children. Suggests alternative instructional strategies. (KHR)
Descriptors: Computation, Concept Formation, Elementary Education, Grade 3

Ramirez, Santos A.; Ham, Joe S. – Physics Teacher, 1990
Errors found in a common physics experiment to measure acceleration resulting from gravity using a linear air track are investigated. Glider position at release and initial velocity are shown to be sources of systematic error. (CW)
Descriptors: Acceleration (Physics), College Science, Computation, Higher Education

Kari, Roy – Journal of Computers in Mathematics and Science Teaching, 1990
Described are several spreadsheet templates which use the functions of iteration and logical look-up which allow students to calculate and graph quantum mechanical functions and to simulate rotational and vibrational energy level and spectra. The templates are listed in the appendix. (KR)
Descriptors: Chemistry, College Science, Computation, Computer Assisted Instruction

Reys, Robert E.; And Others – Journal for Research in Mathematics Education, 1991
Computational strategies and estimating abilities of 466 Japanese students were tested and interviews with a subsample of that group were used to compare with a theoretical model based on a sample from the United States. Results of the comparison of computational and estimating abilities are presented. (CW)
Descriptors: Algorithms, Arithmetic, Cognitive Processes, Cognitive Style

Batt, Russell H., Ed. – Journal of Chemical Education, 1990
Described is how spreadsheet and problem solver microcomputer programs may assist students in performing mathematical calculations. Discussed is the application of the equation solver "MathCAD" to various areas in the undergraduate curriculum. (KR)
Descriptors: Chemistry, College Science, Computation, Computer Assisted Instruction

Cook, Marcy – Arithmetic Teacher, 1989
Presented are four activities for grades K-eight focusing on the application of mathematics to real-world situations of spending money. The objectives, directions, extensions, and answers for each activity are described. Worksheets are provided. (YP)
Descriptors: Computation, Elementary School Mathematics, Elementary Secondary Education, Mathematical Applications

Wolters, G.; And Others – Journal of Experimental Child Psychology, 1990
Hypothesized that arithmetic calculating procedures and types of problems that necessitate more subproblems will lead to longer solution times. Data from 36 third grade students who mentally computed problems with sums greater than 20 and less than 100, confirmed both hypotheses. (RH)
Descriptors: Arithmetic, Cognitive Processes, Difficulty Level, Elementary School Students

Jarrell, Stephen – Mathematics and Computer Education, 1990
Explains a new way of viewing Bayes' formula. Discusses the revision factor and its interpretation. (YP)
Descriptors: Bayesian Statistics, College Mathematics, Computation, Decimal Fractions

Rosen, Edward M. – Chemical Engineering Education, 1990
Described are the use of spreadsheet programs in chemical engineering calculations using Lotus 1-2-3 macros. Discusses the macro commands, subroutine operations, and solution of partial differential equation. Provides examples of the subroutine programs and spreadsheet solution. (YP)
Descriptors: Chemical Engineering, College Science, Computation, Computer Oriented Programs

Blando, John A.; And Others – Journal for Research in Mathematics Education, 1989
Seventh-grade students were tested to uncover arithmetic errors. Answers and intermediate steps were analyzed and models to represent students' behavior were developed. Certain errors were common across students. Others were tied to the format of the test item. Some superficial understandings of mathematical concepts were exposed. (Author/DC)
Descriptors: Algorithms, Arithmetic, Computation, Error Patterns

Fuchs, Lynn S.; And Others – Journal of Learning Disabilities, 1989
A study assessed the effects of assigned versus self-selected goals and contingent versus non-contingent gameplay conditions delivered during computer-assisted math computation drill-and-practice sessions. Subjects were 20 high-school students with learning disabilities. Self-selected goals were more effective; no differences existed between…
Descriptors: Adolescents, Computation, Computer Assisted Instruction, Contingency Management

Rusling, James F. – Journal of Chemical Education, 1988
Investigates minimizing errors in computational methods commonly used in chemistry. Provides a series of examples illustrating the propagation of errors, finite difference methods, and nonlinear regression analysis. Includes illustrations to explain these concepts. (MVL)
Descriptors: Chemistry, College Science, Computation, Computer Uses in Education