Component-Based Construction of a Science Learning Space

Abstract

We present a vision for learning environments, called Science Learning Spaces, that are rich in engaging content and activities, provide constructive experiences in scientific process skills, and are as instructionally effective as a personal tutor. A Science Learning Space combines three independent software systems: 1) lab/field simulations in which experiments are run and data is collected, 2) modeling/construction tools in which data representations are created, analyzed and presented, and 3) tutor agents that provide just-in-time assistance in higher order skills like experimental strategy, representational tool choice, conjecturing, and argument. We believe that achieving this ambitious vision will require collaborative efforts facilitated by a component-based software architecture. We have created a feasibility demonstration that serves as an example and a call for further work toward achieving this vision. In our demonstration, we combined 1) the Active Illustrations lab simulation environment, 2) the Belvedere argumentation environment, and 3) a model-tracing Experimentation Tutor Agent. We illustrate student interaction in this Learning Space and discuss the requirements, advantages, and challenges in creating one.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA638366

Entities

People

  • Daniel D. Suthers
  • Ken Forbus
  • Kenneth R. Koedinger

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Atmospheric Temperature
  • Cloud Cover
  • Computer Science
  • Computers
  • Construction
  • Demonstrations
  • Education
  • Engineering
  • Environment
  • Ontologies
  • Semantics
  • Simulations
  • Software Design
  • Software Development
  • Standards
  • Students

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space