Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

When does disengagement correlate with learning in spoken dialog computer tutoring?

Forbes-Riley, K and Litman, D (2011) When does disengagement correlate with learning in spoken dialog computer tutoring? In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


We investigate whether an overall student disengagement label and six different labels of disengagement type are predictive of learning in a spoken dialog computer tutoring corpus. Our results show first that although students' percentage of overall disengaged turns negatively correlates with the amount they learn, the individual types of disengagement correlate differently with learning: some negatively correlate with learning, while others don't correlate with learning at all. Second, we show that these relationships change somewhat depending on student prerequisite knowledge level. Third, we show that using multiple disengagement types to predict learning improves predictive power. Overall, our results suggest that although adapting to disengagement should improve learning, maximizing learning requires different system interventions depending on disengagement type. © 2011 Springer-Verlag Berlin Heidelberg.


Social Networking:
Share |


Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Forbes-Riley, K
Litman, Ddlitman@pitt.eduDLITMAN
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 23 June 2011
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: 6738 L
Page Range: 81 - 89
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-21869-9_13
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
ISBN: 9783642218682
ISSN: 0302-9743
Related URLs:
Date Deposited: 12 Nov 2014 19:08
Last Modified: 26 Dec 2021 13:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item