Fading and deepening: The next steps for Andes and other model-tracing tutors

Kurt VanLehn, Reva Freedman, Pamela Jordan, Charles Murray, Remus Osan, Michael Ringenberg, Carolyn Rosé, Kay Schulze, Robert Shelby, Donald Treacy, Anders Weinstein, Mary Wintersgill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Model tracing tutors have been quite successful in teaching cognitive skills; however, they still are not as competent as expert human tutors. We propose two ways to improve model tracing tutors and in particular the Andes physics tutor. First, tutors should fade their scaffolding. Although most model tracing tutors have scaffolding that needs to be gradually removed (faded), Andes’ scaffolding is already “faded,” and that causes student modeling difficulties that adversely impact its tutoring. A proposed solution to this problem is presented. Second, tutors should integrate the knowledge they currently teach with other important knowledge in the task domain in order to promote deeper learning. Several types of deep learning are discussed, and it is argued that natural language processing is necessary for encouraging such learning. A new project, Atlas, is developing natural language based enhancements to model tracing tutors that are intended to encourage deeper learning.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages474-483
Number of pages10
Volume1839
ISBN (Print)3540676554
StatePublished - 2000
Externally publishedYes
Event5th International Conference on Intelligent Tutoring Systems, ITS 2000 - Montreal, Canada
Duration: Jun 19 2000Jun 23 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1839
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Intelligent Tutoring Systems, ITS 2000
CountryCanada
CityMontreal
Period6/19/006/23/00

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Fading and deepening: The next steps for Andes and other model-tracing tutors'. Together they form a unique fingerprint.

  • Cite this

    VanLehn, K., Freedman, R., Jordan, P., Murray, C., Osan, R., Ringenberg, M., Rosé, C., Schulze, K., Shelby, R., Treacy, D., Weinstein, A., & Wintersgill, M. (2000). Fading and deepening: The next steps for Andes and other model-tracing tutors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1839, pp. 474-483). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1839). Springer Verlag.