Ringenberg, Michael Aleksandr
(2007)
Scaffolding Problem Solving with Embedded Examples to Promote Deep Learning.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
This study compared the relative utility of an intelligent tutoring system that uses procedure-based hints to a version that uses worked-out examples. The system, Andes, taught college level physics. In order to test which strategy produced better gains in competence, two versions of Andes were used: one offered participants graded hints and the other offered annotated, worked-out examples in response to their help requests. We found that providing examples was at least as effective as the hintsequences and was more efficient in terms of the number of problems it took to obtain the same level of mastery.
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Details
| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Ringenberg, Michael Aleksandr | mringenb@pitt.edu | MRINGENB | |
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| ETD Committee: |
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| Date: |
23 January 2007 |
| Date Type: |
Completion |
| Defense Date: |
10 August 2006 |
| Approval Date: |
23 January 2007 |
| Submission Date: |
9 August 2006 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Intelligent Systems |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
intelligent tutoring system; worked-out examples |
| Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-08092006-163545/, etd-08092006-163545 |
| Date Deposited: |
10 Nov 2011 19:58 |
| Last Modified: |
15 Nov 2016 13:48 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/9013 |
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