• 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 Model Builder
Learner as model builder

To my mind the major accomplishment of cognitive science has been the clear demonstration of the validity of positing a level of mental representation: a set of constructs that can be invoked for the explanation of cognitive phenomenon, ranging from visual perception to story comprehension.

—Howard Gardner
About This Chapter

The LCD focus of this chapter is on the nature of mental models for learners. This chapter includes discussions and examples from

  • Cognitive science on problem solving and representation
  • Information science on cognitive systems engineering and hypertext

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

Introduction

In Chapter 9, we will discuss explicit scaffolding or support strategies for “learners as students,” emphasizing design elements that facilitate the construction of mental ...

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