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Interactive event: the rimac tutor-a simulation of the highly interactive nature of human tutorial dialogue

Jordan, P and Albacete, P and Ford, MJ and Katz, S and Lipschultz, M and Litman, D and Silliman, S and Wilson, C (2013) Interactive event: the rimac tutor-a simulation of the highly interactive nature of human tutorial dialogue. In: UNSPECIFIED.

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Rimac is a natural-language intelligent tutoring system that engages students in dialogues that address physics concepts and principles, after they have solved quantitative physics problems. Much research has been devoted to identifying features of tutorial dialogue that can explain its effectiveness (e.g., [1]), so that these features can be simulated in natural-language tutoring systems. One hypothesis is that the highly interactive nature of tutoring itself promotes learning. Several studies indicate that our understanding of interactivty needs refinement because it cannot be defined simply by the amount of interaction nor the granularity of the interaction but must also take into consideration how well the interaction is carried out (e.g., [2]). © 2013 Springer-Verlag Berlin Heidelberg.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Jordan, Ppjordan@pitt.eduPJORDAN
Albacete, P
Ford, MJmjford@pitt.eduMJFORD
Katz, Skatz@pitt.eduKATZ
Lipschultz, Mmil28@pitt.eduMIL28
Litman, Ddlitman@pitt.eduDLITMAN
Silliman, S
Wilson, C
Centers: Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date: 1 January 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 7926 L
Page Range: 928 - 929
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-39112-5_148
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Computer Science > Intelligent Systems Technical Reports
School of Education > Instruction and Learning
Refereed: Yes
ISBN: 9783642391118
ISSN: 0302-9743
Related URLs:
Date Deposited: 14 Aug 2014 15:49
Last Modified: 22 Sep 2023 10:55


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