• 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 Expert
Learner as expert

To design is … to add value and meaning to illuminate, to simplify, to clarify.

—Paul Rand
About This Chapter

The LCD focus of this chapter is on issues of expertise and problem solving for the learner. This chapter includes discussions and examples from

  • Cognitive science on expertise and heuristics
  • Information science on knowledge engineering

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

Introduction

This chapter focuses on two interrelated topics common to both cognitive science and information science. In cognitive psychology, heuristics (general problem-solving guidelines) are natural problem-solving methods for deciding what sequence of steps will transform a problem representation into a solution representation (after the IPA). In a broader context, heuristics is the study of strategies for solving problems of ...

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