A Hierarchically Sequenced Introductory Mathematics Curriculum.

Abstract

A method of systematic behavior analysis is applied to the problem of designing a sequence of learning objectives to provide an optimal match for the child's natural sequence of acquisition of mathematical skills and concepts. The authors begin by proposing an operational definition of the number concept in the form of a set of behaviors (the curriculum 'objectives') which, taken together, permit the inference that the child has an abstract concept of 'number'. Each behavior is then analyzed to identify hypothesized components of skilled performance and pre-requisites for learning these components. On the basis of these analyses, specific sequences of learning objectives are proposed which are hypothesized to facilitate optimal learning by maximizing transfer from earlier to later objectives. Relevant literature on early learning and cognitive development is considered in conjunction with the behavior analyses and the resulting sequences. A discussion of the ways in which a hierarchically sequenced early learning curriculum can be used in schools includes a description of a formalized 'mastery' model, in which children are tested to determine entering level and in which they pass to higher level objectives on the basis of demonstrated mastery of lower-level ones. Alternative models are considered briefly. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1970
Accession Number
AD0717371

Entities

People

  • Jerome Kaplan
  • Lauren B. Resnick
  • Margaret C. Wang

Organizations

  • University of Pittsburgh

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Curriculum
  • Learning
  • Literature
  • Mathematics
  • Sequences

Fields of Study

  • Education

Readers

  • Artificial Intelligence
  • Psychometric Testing or Psychological Assessment.
  • Systems Analysis and Design

Technology Areas

  • AI & ML