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Scaffolding Problem Solving with Embedded Examples to Promote Deep Learning

Ringenberg, Michael Aleksandr (2007) Scaffolding Problem Solving with Embedded Examples to Promote Deep Learning. Master's Thesis, University of Pittsburgh. (Unpublished)

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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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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Ringenberg, Michael Aleksandrmringenb@pitt.eduMRINGENB
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairVanLehn,
Committee MemberAshley, Kevinashley@pitt.eduASHLEY
Committee MemberKatz, Sandrakatz@pitt.eduKATZ
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:, etd-08092006-163545
Date Deposited: 10 Nov 2011 19:58
Last Modified: 15 Nov 2016 13:48


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