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Batchelder, Eleanor Olds – Cognition, 2002
Details BootLex, a model using distributional cues to build a lexicon and achieving significant segmentation results with English, Japanese, and Spanish; child- and adult-directed speech, and written text; and variations in coding structure. Compares BootLex with three groups of computational models of the infant segmentation process. Discusses…
Descriptors: Algorithms, Cognitive Development, Cues, Infants

Chatterley, Louis J.; Peck, Donald M. – Journal of Mathematical Behavior, 1995
Presents results of a project with second and third graders to establish concepts of equality that led to the realization that teachers often help students too much and may push them algorithmically beyond their ability without the development of proper referents. (Author/MKR)
Descriptors: Algorithms, Cognitive Development, Elementary Education, Grade 2

Slesnick, Twila – Educational Studies in Mathematics, 1982
The hypothesis investigated is that understanding of the long division algorithm requires a higher cognitive level than understanding of fundamental division concepts. Sixth-grade children were tested on performance and understanding of a given algorithm and concepts of division. (MP)
Descriptors: Algorithms, Cognitive Development, Cognitive Processes, Division

Naveh-Benjamin, Moshe; And Others – Journal of Educational Psychology, 1986
This article presents a new method of inferring students' cognitive structures and their development. A modification of Reitman and Rueter's "ordered tree technique," the method generates a structure that displays important relationships assumed to be in a student's memory about concepts taken from a specific field of study. (Author/LMO)
Descriptors: Algorithms, Analysis of Variance, Cognitive Development, Cognitive Structures

Baker, Claire A.; Frank, David V. – Hoosier Science Teacher, 1988
Defines one approach to problem solving in terms of student use of algorithms to find their solutions and gives examples. Discusses how problems and algorithms relate to each other. Describes strategies for teaching problem solving using algorithms. (CW)
Descriptors: Algorithms, Chemistry, Cognitive Development, Computation

Ball, 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

Markovits, Henry; And Others – Journal of Experimental Child Psychology, 1995
Studied children's transitive inference where representation of premises provided contradictory information depending on position of two elements in a A, B, C series. Eight-year olds did significantly better on the more complex problems than did six-year olds, suggesting the presence of a developmental sequence of algorithms that enable children…
Descriptors: Algorithms, Cognitive Ability, Cognitive Development, Cognitive Processes

Mareschal, Denis; Shultz, Thomas R. – Cognitive Development, 1996
Presents a computational framework for modeling cognitive development that provides a language paradigm with which to compare and contrast different facets of children's knowledge. Describes the generative connectionist algorithm "cascade-correlation," the successful use of the algorithm to model cognitive development in various…
Descriptors: Algorithms, Children, Cognitive Development, Cognitive Measurement

Sfard, Anna – Educational Studies in Mathematics, 1991
This paper presents a theoretical framework for investigating the role of algorithms in mathematical thinking using a combined ontological-psychological outlook. The intent is to demonstrate that the processes of learning and of problem solving incorporate an elaborate interplay between operational and structural conceptualizations of the same…
Descriptors: Algorithms, Cognitive Development, Cognitive Structures, Concept Formation
Slotnick, Robert S. – Collegiate Microcomputer, 1989
Discusses the implementation of interactive educational software that was designed to enhance critical thinking, scientific reasoning, and problem solving in a university psychology course. Piagetian and computer learning perspectives are explained; the courseware package, PsychWare, is described; and the use of heuristics and algorithms in…
Descriptors: Algorithms, Cognitive Development, Computer Assisted Instruction, Courseware

Stefanich, Greg P.; Rokusek, Teri – School Science and Mathematics, 1992
Presents a study that analyzed errors made by randomly chosen fourth grade students (25 of 57) while using the division algorithm and investigated the effect of remediation on identified systematic errors. Results affirm that error pattern diagnosis and directed remediation lead to new learning and long-term retention. (MDH)
Descriptors: Algorithms, Arithmetic, Cognitive Development, Computation

Hurwitz, Marsha – Mathematics Teacher, 1990
Described is a learning activity that requires students to write a manual to explain how to apply procedures and algorithms used in mathematics. A list of possible precalculus and calculus topics that can be used in this activity is included. (KR)
Descriptors: Algorithms, Calculus, Cognitive Development, Learning Activities

Friedel, Arthur W.; And Others – School Science and Mathematics, 1990
Discussed is the effectiveness of using analogies in chemistry instruction. Students' mathematics anxiety, spatial visualization skill, and proportional reasoning ability were found to be important aptitudes for determining chemistry achievement. The relationship between analogs and algorithms is described. (KR)
Descriptors: Academic Achievement, Algorithms, Chemistry, Cognitive Development

Lee, Kil S. – School Science and Mathematics, 1991
Traditional methods of teaching addition include algorithms that involve right-to-left procedures. This article describes efficient procedures for left-to-right addition and subtraction involving computation and computational estimation that reflect children's natural behaviors observed during activities with unifix cubes. (MDH)
Descriptors: Addition, Algorithms, Cognitive Development, Cognitive Processes

Niaz, Mansoor – Journal of Chemical Education, 1989
Defines M-demand as the maximum number of schemes that the subject must activate simultaneously in the course of executing a task. Discusses the effect of M-demand on problem solving. Uses algorithms to reduce M-demand. Describes the role of algorithms in problem solving. (MVL)
Descriptors: Algorithms, Chemistry, Cognitive Development, Cognitive Processes
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