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Comparative framework for model-tracing and constraint-based intelligent tutoring paradigms

Research Method · All research methods
Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

The article contrasts two approaches to building intelligent tutoring systems: the "well-established model-tracing paradigm" and "the relatively newer constraint-based paradigm". It evaluates the proponents' claim that constraint-based tutors "afford performance at levels comparable to that of model-tracing tutors, but with significantly less development effort", and organizes the comparison around remediation quality, domain feasibility, and development effort.

Accounts

  • A comparative framework contrasting the model-tracing and constraint-based intelligent tutoring paradigms: The article contrasts two approaches to building intelligent tutoring systems: the "well-established model-tracing paradigm" and "the relatively newer constraint-based paradigm". It evaluates the proponents' claim that constraint-based tutors "afford performance at levels comparable to that of model-tracing tutors, but with significantly less development effort", and organizes the comparison around remediation quality, domain feasibility, and development effort. (Viswanathan Kodaganallur et al. (2005))

Claims

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Key Sources

  • Viswanathan Kodaganallur, Rob R. Weitz, David Rosenthal. (2005). A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms. International Journal of Artificial Intelligence in Education. https://telearn.hal.science/hal-00197305
Page metadata
Field Value
type research-method
id comparative-framework-for-model-tracing-and-constraint-based-intelligent-tutoring-paradigm
title Comparative framework for model-tracing and constraint-based intelligent tutoring paradigms
description The article contrasts two approaches to building intelligent tutoring systems: the "well-established model-tracing paradigm" and "the relatively newer constraint-based paradigm".
status review
generated by process:settle-candidates on 2026-10-27
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