An Initial Evaluation of the D2P/MTT, a Computer-Based, Declarative to Procedural (D2P) Theory Driven Moving Target Tutor

Abstract

In this report, we describe a computer-based training tutor, the D2P/Moving Target Tutor (MTT) and our experience and results of running an experimental study using undergraduate students (N=27) to evaluate the effectiveness of D2P/MTT. D2P/MTT is designed and created to train users to judge point of aim quickly to shoot a moving target. The structure of the tutor is based on the Declarative to Procedural (D2P) learning theory that prescribes how repetitive practice can lead to declarative knowledge being proceduralized and how proceduralized skills can be retrieved quicker and less prone to forgetting. We analyzed our results and found that the accuracy rate on judging point of aim of a moving object improved from 20% (standard deviation = 15%) to 47% (standard deviation = 18%). This was a reliable difference, despite lost data. We also describe the possible reason for high data loss rate (63%) for future improvements in running studies like this.

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Document Details

Document Type
Technical Report
Publication Date
Jul 13, 2012
Accession Number
ADA564894

Entities

People

  • Frank Ritter
  • Kuo-chuan Yeh

Organizations

  • Pennsylvania State University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Computer Programming
  • Computer Science
  • Computers
  • Data Analysis
  • Information Science
  • Instructional Materials
  • Learning
  • Moving Targets
  • Operating Systems
  • Standards
  • Statistics
  • Students
  • Targets
  • Training
  • Xml

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Software Engineering