Using Cognitive Principles to Design Multimedia Training Environments to Support Learning.

Abstract

Our project focuses on developing multimedia systems to support human learning, based on cognitive principles and guidelines from cognitive science. The question is not so much whether multimedia makes a difference, but rather how can it best be deployed to make a difference? Our project focuses on developing multimedia systems to support human learning, based on cognitive principles and guidelines from cognitive science. The question is not so much whether multimedia makes a difference, but rather how can it best be deployed to make a difference? Specifically, what combinations of media and methods of interaction are most effective for learning, and why? Cognitive science has made significant advances in understanding human learning and training issues. Based on these advances, we can make strong hypotheses about how to construct effective interactive multimedia learning environments. We are using these hypotheses as the basis for a principled approach to the development of multimedia training systems and, in turn, further advance our understanding of learning and of media through careful assessment of the systems. In our initial investigations summarized here, our focus has been primarily on whether encouraging learners to interact in different ways with the system affects their learning, learning rate, and or transfer to new problems.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1995
Accession Number
ADA306703

Entities

People

  • A. Ram
  • J. Stasko
  • M. Guzdial
  • R. Catrambone

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Chemistry
  • Cognitive Science
  • Computer Programming
  • Computers
  • Construction
  • Environment
  • Graph Theory
  • Hypotheses
  • Instructional Materials
  • Learning
  • Materials
  • Media
  • Multimedia
  • Personal Computers
  • Students
  • Training

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.