Developmental Differences in Scientific Discovery Processes

Abstract

The purpose of the three studies reported here was to formulate a framework for understanding the development of scientific reasoning processes. Subjects were placed in a simulated scientific discovery context by first teaching them how to use an electronic device and then asking them to discover how a hitherto unencountered function worked. To do this task, subjects had to formulate hypotheses based on their prior knowledge, conduct experiments, and evaluate the results of their experiments. These studies provided support for the view that scientific reasoning is a search in two problem spaces. By extending Simon and Lea's (1974) Generalized Rule Inducer, we present a general model of Scientific Discovery as Dual Search (SDDS) that shows how search in two problem spaces (an hypothesis space and an experimental space) shapes hypothesis generation, experimental design, and the evaluation of hypotheses. The model also shows how these processes interact with each other and suggests what their developmental course might be. Scientific reasoning; Discovery processes; Problem space search; Cognitive development; Developmental psychology; Learning; Generalized rule inducer; SDDS.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1988
Accession Number
ADA218854

Entities

People

  • David Klahr
  • Kevin Dunbar

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Classification
  • Cognition
  • Cognitive Science
  • Computer Science
  • Computers
  • Concept Formation
  • Data Analysis
  • Experimental Data
  • Experimental Design
  • Language
  • Machine Learning
  • Mental Processes
  • Psychology
  • Reasoning
  • Thinking

Readers

  • Mathematical Modeling and Probability Theory.
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics
  • Space
  • Space - Space Objects