Inference and Discovery in an Exploratory Laboratory.

Abstract

This paper describes the results of a study done as part of a research program investigating the use of computer-based laboratories to support self-paced discovery learning in domains like microeconomics, electricity, and light refraction. Program objectives include maximizing the laboratories' effectiveness in helping students learn content knowledge, as well as identifying and coaching effective inference and discovery behaviors. This study with the microeconomics discovery laboratory demonstrates that computer-based laboratories can help students learn targeted concepts. In addition, the study identifies the inductive reasoning strategies used in the microeconomics discovery world by first-year university students, and compares the strategies of more and less successful learners. Keywords: Discovery learning, Individual differences, Induction, Intelligent tutoring systems, Problem solving, Science concepts.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1988
Accession Number
ADA192231

Entities

People

  • Kalyani Raghavan
  • Robert Glaser
  • Valerie Shute

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Psychology
  • Artificial Intelligence
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computers
  • Data Management
  • Education
  • Educational Psychology
  • Information Processing
  • Instructors
  • Military Research
  • Psychology
  • Reasoning
  • Schools
  • Students
  • Thinking

Readers

  • Artificial Intelligence
  • STEM Education

Technology Areas

  • AI & ML