Two Pseudo-Students: Applications of Machine Learning to Formative Evaluation

Abstract

The goal of the research described here is to develop simulation programs that can be used for formative evaluation during the instructional design process. Such simulations are called pseudo-students because they simulate human students learning from the given instruction. However, unlike human students, pseudo-students keep a detailed trace of the learning so that the designer can discover the causes of undesirable pedagogical outcomes. For instance, one pseudo-student, psuedo-student(Sierra), helped demonstrate that many systematic arithmetic errors are caused by incomplete and poorly sequenced instruction (VanLehn, K. (1990) psuedo-students (Mind bugs: The origins of procedural misconceptions), Cambridge, MA: MIT Press). Most of these design defects would be easy to fix now that have been detected. We describe Sierra and a second pseudo-student, Cascade, which is being developed for modeling the learning of college physics.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA225645

Entities

People

  • Kurt VanLehn

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Arithmetic
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computer Languages
  • Computer Science
  • Computers
  • Education
  • Machine Learning
  • Mathematics
  • Psychology
  • Simulations
  • Simulators
  • Students
  • Test And Evaluation
  • Test Methods
  • Universities

Fields of Study

  • Education

Readers

  • Artificial Intelligence
  • Educational Psychology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference