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Griffiths, Alan; And Others – Journal of Documentation, 1984
Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping
Kent, David – Mathematics Teaching, 1976
A method is described for working multiplication problems by counting on fingers. (DT)
Descriptors: Algorithms, Elementary School Mathematics, Elementary Secondary Education, Experiential Learning

Silvia, Evelyn M. – Arithmetic Teacher, 1983
How graph paper has been used to illustrate the algorithm for division of fractions is presented. The combined use of graph paper and an overhead projector can make the presentation even more convincing. A review of whole number division is recommended prior to the lesson. (MP)
Descriptors: Algorithms, Division, Elementary School Mathematics, Elementary Secondary Education
Brown, Stephen I. – Mathematics Teaching, 1981
A one-to-one teaching session with a student is described and analyzed in an attempt to communicate how student attempts at discovery in mathematics can be thwarted by teachers who do not allow room for creativity. (MP)
Descriptors: Algorithms, Discovery Processes, Division, Elementary Education

Kraft, Donald H.; Waller, W. G. – Information Processing and Management, 1981
Presents a dynamic model of user behavior when scanning an information storage and retrieval system output list, compares rules for determining the user's optimum stopping point, presents an algorithm for implementing the Bayesian model, and discusses implications for retrieval system design. Provided are 13 figures and 15 references. (Author/RBF)
Descriptors: Algorithms, Bayesian Statistics, Behavior Patterns, Graphs

Willett, Peter – Information Processing and Management, 1981
Describes a fast algorithm for comparing the lists of terms representing documents in automatic classification experiments. Complexity and running time for the algorithm are compared to other procedures, and a short algol-like routine is presented in the appendix. Eight references are included. (Author/BK)
Descriptors: Algorithms, Automatic Indexing, Classification, Documentation

Schaefer, Sister M. Geralda – Arithmetic Teacher, 1981
Alternative algorithms, "tricks," and shortcuts are viewed as ideally suited for inclusion in a systematic program of practice because of their motivational effect and the mental stimulation involved in discovering why they work. (MP)
Descriptors: Algorithms, Basic Skills, Discovery Learning, Drills (Practice)

Mitchell, Charles E.; Blume, Glendon W. – Mathematics Teacher, 1980
Each of the hand-held calculator logic systems found on the market today is introduced, along with some of the advantages and disadvantages of each. The systems reviewed are: arithmetic logic, algebraic logic-no hierarchy, algebraic operating system, and reverse polish notation. (MP)
Descriptors: Algorithms, Calculators, Computation, Educational Technology

Carpenter, Thomas P.; And Others – Mathematics Teacher, 1980
Student weaknesses on problem-solving portions of the NAEP mathematics assessment are discussed using Polya's heuristics as a framework. Recommendations for classroom instruction are discussed. (MP) Aspect of National Assessment (NAEP) dealt with in this document: Results (Interpretation).
Descriptors: Algorithms, Experiential Learning, Mathematical Models, Mathematics Curriculum

Knill, George – Mathematics Teacher, 1980
The formula used by the telephone company to determine long distance charges is presented and several sample problems are included. (MP)
Descriptors: Algebra, Algorithms, Enrichment Activities, Geometric Concepts

Myerscough, Don; And Others – Mathematics Teacher, 1996
Describes an activity whose objectives are to encode and decode messages using linear functions and their inverses; to use modular arithmetic, including use of the reciprocal for simple equation solving; to analyze patterns and make and test conjectures; to communicate procedures and algorithms; and to use problem-solving strategies. (ASK)
Descriptors: Algorithms, Arithmetic, Educational Strategies, Mathematical Concepts

Hamilton-Taylor, Ashley George; Kraemer, Eileen – Interactive Multimedia Electronic Journal of Computer-Enhanced Learning (IMEJ), 2002
The authors are conducting a study of instructors teaching data structure and algorithm topics, with a focus on the use of diagrams and tracing. The results of this study are being used to inform the design of the Support Kit for Animation (SKA). This article describes a preliminary version of SKA, and possible usage scenarios. (Author/AEF)
Descriptors: Algorithms, Animation, Computer Assisted Instruction, Computer Science Education

Wood, Eric F. – Arithmetic Teacher, 1989
Presents an easy method for constructing magic squares from three-by-three to general squares. Provides a computer program generating odd-order magic squares. Six references are listed. (YP)
Descriptors: Algorithms, Computation, Computer Uses in Education, Elementary Education

Cauley, Kathleen M. – Journal of Educational Psychology, 1988
This study assessed the extent to which procedurally proficient children (N=34) construct the part/whole logical structure that underlies the borrowing algorithm in subtraction. Results indicate that an understanding of the part/whole logic of number may be necessary to understand place value and borrowing. (TJH)
Descriptors: Abstract Reasoning, Algorithms, Elementary School Mathematics, Elementary School Students

Kiiveri, H. T. – Psychometrika, 1987
Covariance structures associated with linear structural equation models are discussed. Algorithms for computing maximum likelihood estimates (namely, the EM algorithm) are reviewed. An example of using likelihood ratio tests based on complete and incomplete data to improve the fit of a model is given. (SLD)
Descriptors: Algorithms, Analysis of Covariance, Computer Simulation, Equations (Mathematics)