Causal Models in the Acquisition and Instruction of Programming Skills.

Abstract

This research project investigates how an interactive learning environment can support students' learning and acquisition of mental models when acquiring a target cognitive skill. In this project, we have constructed GIL, an intelligent tutoring system for LISP programming, and have used GIL to conduct pedagogical experiments on skill acquisition. We have studied two ways in which an interactive learning environment can facilitate students acquisition of novel complex domains. The first set of studies examines how explanatory feedback, generated from the system's problem-solving knowledge, can facilitate students' learning. The experiments demonstrate computer-based support during learning can help students construct a more effective model for reasoning in complex domains.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA293438

Entities

People

  • Brian Reiser

Organizations

  • Princeton University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programming
  • Computer Programs
  • Computers
  • Educational Psychology
  • Instructions
  • Language
  • Lisp Programming Language
  • New York
  • Programming Languages
  • Psychology
  • Reasoning
  • Social Sciences
  • Students

Readers

  • Database Systems and Applications
  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.