Mathematics Education

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A01=Graeme S. Halford
A01=Lyn D. English
Accumulator Model
Adequate Mental Model
analogical reasoning
Array Model
Author_Graeme S. Halford
Author_Lyn D. English
base
blocks
Category=JMR
Category=JNU
Category=YPMF
Children's Mathematical Learning
Children’s Mathematical Learning
cognitive development
cognitive science mathematics education
Comprehensive Mental Model
Concrete Analogs
constructivist mathematics
Decimal Fraction
Deductive Reasoning Problems
Derived Fact Strategies
Division Algorithm
Division Situations
Entire Fullness
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
flexible problem solving
higher
Higher Order Relation
knowledge representation
Mathematical Problem Solving
mental
Mental Model
model
Multidigit Multiplication
Multiplicative Comparison
Multiplicative Situations
Number System
problem
Problem Posing
Problem Situation Model
Proportional Reasoning
Quaternary Relation
relation
situation
skill acquisition models
Target Problem
ten
ternary
Vice Versa

Product details

  • ISBN 9780805814583
  • Weight: 700g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jul 1995
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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To define better techniques of mathematics education, this book combines a knowledge of cognitive science with mathematics curriculum theory and research. The concept of the human reasoning process has been changed fundamentally by cognitive science in the last two decades. The role of memory retrieval, domain-specific and domain-general skills, analogy, and mental models is better understood now than previously. The authors believe that cognitive science provides the most accurate account thus far of the actual processes that people use in mathematics and offers the best potential for genuine increases in efficiency. As such, they suggest that a cognitive science approach enables constructivist ideas to be analyzed and further developed in the search for greater understanding of children's mathematical learning.

Not simply an application of cognitive science, however, this book provides a new perspective on mathematics education by examining the nature of mathematical concepts and processes, how and why they are taught, why certain approaches appear more effective than others, and how children might be assisted to become more mathematically powerful. The authors use recent theories of analogy and knowledge representation -- combined with research on teaching practice -- to find ways of helping children form links and correspondences between different concepts, so as to overcome problems associated with fragmented knowledge. In so doing, they have capitalized on new insights into the values and limitations of using concrete teaching aids which can be analyzed in terms of analogy theory.

In addition to addressing the role of understanding, the authors have analyzed skill acquisition models in terms of their implications for the development of mathematical competence. They place strong emphasis on the development of students' mathematical reasoning and problem solving skills to promote flexible use of knowledge. The book further demonstrates how children have a number of general problem solving skills at their disposal which they can apply independently to the solution of novel problems, resulting in the enhancement of their mathematical knowledge.

Lyn D. English, Graeme S. Halford

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