• Summary
  • Contents
  • Subject index

The issue of complexity, as applied to the way we gather information and learn, is a hallmark of this information age. The sheer amount of data, in addition to the increasingly technological way in which the data are delivered, have had profound effects on the ways in which we process information and, hopefully, learn. In this cutting edge volume, Wayne Reeves, a professor as well as consultant to Sun Microsystems, provides an overview of the field of complexity (including chaos theory, information literacy, and Knowledge Management Tools) and presents a working framework to help guide further research. Aimed particularly at researchers, professors, and students in the areas of cognitive science and library//information sc

Learner as Categorizer
Learner as categorizer

In anything at all, perfection is finally attained not when there is no longer anything to add, but when there is no longer anything to take away.

—Antoine de Saint Exupéry
About This Chapter

The LCD focus of this chapter is on issues of category formation for learners. This chapter includes discussions and examples from

  • Cognitive science on categorization and induction
  • Information science on classification and object-oriented programming

The resulting design principles are extracted and listed at the end of the chapter.

Introduction

One of the major topics of active research in cognitive science, and the next level on our cognitive hierarchy, is the problem of how individuals develop, store, and organize objects of thought through the use of categorization. Issues of application and implementation of this research ...

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