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PDF pending restorationRobitaille, David F. – 1976
Boys' and girls' achievement in arithmetic computation was compared with their feelings of self-confidence in performing computations. A total of 2654 girls and 2786 boys from grades 5 through 8 in one school system participated. Each student was given a test to assess the degree of self-confidence in methods of performing the four basic…
Descriptors: Academic Achievement, Achievement, Algorithms, Computation
Feghali, Issa – 1976
A previous study had confirmed that a substantial number of low achievers in grades 5 through 8 had high algorithmic confidence in each of the four arithmetic operations with whole numbers. The purpose of the present study was to follow up the results through interviewing low achievement-high confidence students in order to ascertain if they…
Descriptors: Academic Achievement, Achievement, Algorithms, Computation
Peer reviewedCarpenter, Thomas P.; And Others – Arithmetic Teacher, 1976
Various algorithms used in addition, subtraction, and division problems were identified. The percentages of people in the National Assessment survey populations using each method are reported, as are the percentages of those using the most popular methods who answered correctly. Implications for instruction are discussed. (SD) Aspect of National…
Descriptors: Algorithms, Basic Skills, Elementary School Mathematics, Elementary Secondary Education
Peer reviewedGroen, Guy; Resnick., Lauren B. – Journal of Educational Psychology, 1977
Ten nursery school children who knew how to count but were unacquainted with arithmetic were taught a simple algorithm for solving single-digit addition problems and were then given extended practice. The reaction time on the final block of extended practice suggested that subjects had invented a more efficient procedure to replace the original…
Descriptors: Addition, Algorithms, Cognitive Development, Cognitive Processes
Lineberry, Claude S., Jr. – Improving Human Performance Quarterly, 1977
To decide between job aids and instruction, it is essential to analyze desired mastery performance: its inputs, outputs, criteria, and underlying skills and knowledge. A decision table is included. (Author/STS)
Descriptors: Algorithms, Educational Strategies, Educational Technology, Industrial Training
Peer reviewedMacDonald, T. H. – International Journal of Mathematical Education in Science and Technology, 1977
The author develops a four-stage model for concept-internalization. The stages are: (1) concrete structure; (2) linguistic structure; (3) algorithm; and (4) mastery. The model is related to teaching methods and the teaching of long division is examined in detail. (SD)
Descriptors: Algorithms, Cognitive Development, Division, Elementary School Mathematics
Peer reviewedMadell, Rob – Arithmetic Teacher, 1985
The author argues that children not only can but should create their own computational algorithms and that the teacher's role is "merely" to help. How children in grades K-3 add and subtract is the focus of this article. Grouping, directionality, and exchange are highlighted. (MNS)
Descriptors: Addition, Algorithms, Cognitive Processes, Computation
Peer reviewedFerguson, David L.; Henderson, Peter B. – Machine-Mediated Learning, 1987
Designed initially for use in college computer science courses, the model and computer-aided instructional environment (CAIE) described helps students develop algorithmic problem solving skills. Cognitive skills required are discussed, and implications for developing computer-based design environments in other disciplines are suggested by…
Descriptors: Algorithms, Classroom Environment, Cognitive Ability, Computer Assisted Instruction
Peer reviewedBerry, P. A. M.; Meadows, A. J. – Journal of Documentation, 1987
Reviews the current status of satellite remote sensing data, including problems with efficient storage and rapid retrieval of the data, and appropriate computer graphics to process images. Areas of research concerned with overcoming these problems are described. (16 references) (CLB)
Descriptors: Algorithms, Computer Graphics, Computer Storage Devices, Copyrights
Peer reviewedByrkit, Donald R. – Mathematics Teacher, 1988
Presents number tricks appropriate for use in workshops, mathematics clubs or at other times when stressing recreational mathematics. (PK)
Descriptors: Algorithms, Arithmetic, Computation, Mathematical Formulas
Peer reviewedKatz, Victor J. – For the Learning of Mathematics, 1986
Some concrete examples of the use of historical materials in developing certain topics from precalculus and calculus are presented. Ideas which can be introduced with a reformulated curriculum are discussed in five areas: algorithms, combinatorics, logarithms, trigonometry, and mathematical models. (MNS)
Descriptors: Algorithms, Calculus, College Mathematics, Higher Education
Peer reviewedBall, Stanley – School Science and Mathematics, 1986
Presents a developmental taxonomy which promotes sequencing activities to enhance the potential of matching these activities with learner needs and readiness, suggesting that the order commonly found in the classroom needs to be inverted. The proposed taxonomy (story, skill, and algorithm) involves problem-solving emphasis in the classroom. (JN)
Descriptors: Algorithms, Classification, Cognitive Development, Elementary Education
Peer reviewedChiosi, Lou – School Science and Mathematics, 1986
Provides a short list of integral triples for the design of problems employing unit fractions (so solutions will be positive integers). Also presents an algorithm whereby both primary and imprimitive sets of triples can be easily obtained and shows how to extend the algorithm to solve three-variate unit fraction equations. (JN)
Descriptors: Algorithms, College Mathematics, Equations (Mathematics), Fractions
Peer reviewedSpence, Lawrence E.; Eynden, Charles Vanden – Mathematics Teacher, 1984
Programing a microcomputer to solve problems in whole-number arithmetic, rather than using the built-in operations of the computer, is described. Not only useful, it also enhances important mathematical concepts and is adaptable to a range of student abilities. (MNS)
Descriptors: Addition, Algorithms, Arithmetic, Computation
Peer reviewedBishop, W. – International Journal of Mathematical Education in Science and Technology, 1976
The merits of having students interact with the computer rather than use canned programs to solve problems are discussed. Examples are provided. (SD)
Descriptors: Algorithms, College Mathematics, Computer Oriented Programs, Higher Education


