Predicting Learning in Tutoring with the Landscape Model of Memory

Abstract

A Landscape Model analysis, adopted from the text processing literature, was run on transcripts of tutoring sessions, and a technique developed to count the occurrence of key physics points in the resulting connection matrices. This point-count measure was found to be well correlated with learning.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA456668

Entities

People

  • Arthur Ward
  • Diane Litman

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Air Resistance
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Data Sets
  • Deep Learning
  • Dialogue Systems
  • Information Operations
  • Intelligent Systems
  • Language
  • Learning
  • Linguistics
  • Machine Learning
  • Natural Language Processing
  • Students
  • Text Processing

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Wetland-Land-Environmental Management.