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[DO NOT APPROVE - JHB 05-05-14] Analyzing Prosodic Features and Student Uncertainty using Visualization.

Xiong, Wenting and Litman, Diane J. and Marai, G. Elisabeta (2009) [DO NOT APPROVE - JHB 05-05-14] Analyzing Prosodic Features and Student Uncertainty using Visualization. In: AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 05-07 Nov 2009, Arlington, United States of America.

Abstract

It has been hypothesized that to maximize learning, intelligent tutoring systems should detect and respond to both cognitive student states, and affective and metacognitive states such as uncertainty. In intelligent tutoring research so far, student state detection is primarily based on information available from a single student-system exchange unit, or turn. However, the features used in the detection of such states may have a temporal component, spanning multiple turns, and may change throughout the tutoring process. To test this hypothesis, an interactive tool was implemented for the visual analysis of prosodic features across a corpus of student turns previously annotated for uncertainty. The tool consists of two complementary visualization modules. The first module allows researchers to visually mine the feature data for patterns per individual student dialogue, and form hypotheses about feature dependencies. The second module allows researchers to quickly test these hypotheses on groups of students through statistical visual analysis of feature dependencies. Results show that significant differences exist among feature patterns across different student groups. Further analysis suggests that feature patterns may vary with student domain knowledge.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Xiong, Wentingwex12@cs.pitt.eduWEX12
Litman, Diane J.litman@cs.pitt.eduDLITMAN
Marai, G. Elisabeta
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2009
Series Name: AAAI Technical Report
Volume: FS-09
Publisher: AAAI
Event Title: AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems
Event Dates: 05-07 Nov 2009
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Uncontrolled Keywords: dblp
Title of Book: Cognitive and Metacognitive Educational Systems: Papers from the AAAI Symposium
Official URL: http://dblp.uni-trier.de/db/conf/aaaifs/aaaifs2009...
Date Deposited: 10 Jul 2018 17:35
Last Modified: 10 Jul 2018 17:35
URI: http://d-scholarship.pitt.edu/id/eprint/23168

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