Spoken interruptions signal productive problem solving and domain expertise in mathematics

Sharon Oviatt; Kevin Hang; Jianlong Zhou; Fang Chen

doi:10.1145/2818346.2820743

Spoken interruptions signal productive problem solving and domain expertise in mathematics

Sharon Oviatt, Kevin Hang, Jianlong Zhou, Fang Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

10 Citations (Scopus)

Abstract

Prevailing social norms prohibit interrupting another person when they are speaking. In this research, simultaneous speech was investigated in groups of students as they jointly solved math problems and peer tutored one another. Analyses were based on the Math Data Corpus, which includes ground-truth performance coding and speech transcriptions. Simultaneous speech was elevated 120-143% during the most productive phase of problem solving, compared with matched intervals. It also was elevated 18-37% in students who were domain experts, compared with nonexperts. Qualitative analyses revealed that experts differed from non-experts in the function of their interruptions. Analysis of these functional asymmetries produced nine key behaviors that were used to identify the dominant math expert in a group with 95-100% accuracy in three minutes. This research demonstrates that overlapped speech is a marker of group problem-solving progress and domain expertise. It provides valuable information for the emerging field of learning analytics.

Original language	English
Title of host publication	ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction
Subtitle of host publication	November 9-13, 2015 Seattle, Washington, USA
Editors	Dan Bohus, Radu Horaud, Helen Meng
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	311-318
Number of pages	8
ISBN (Electronic)	9781450339124
DOIs	https://doi.org/10.1145/2818346.2820743
Publication status	Published - 2015
Externally published	Yes
Event	International Conference on Multimodal Interfaces 2015 - Seattle, United States of America Duration: 9 Nov 2015 → 13 Nov 2015 Conference number: 17th https://icmi.acm.org/2015/ https://dl.acm.org/doi/proceedings/10.1145/2818346 (Proceedings)

Conference

Conference	International Conference on Multimodal Interfaces 2015
Abbreviated title	ICMI 2015
Country/Territory	United States of America
City	Seattle
Period	9/11/15 → 13/11/15
Internet address	https://icmi.acm.org/2015/ https://dl.acm.org/doi/proceedings/10.1145/2818346 (Proceedings)

Keywords

Collaborative problem solving
Domain expertise
Dynamic group processes
Interruption
Math Data Corpus
Multimodal learning analytics
Simultaneous speech

Access to Document

10.1145/2818346.2820743

Cite this

Oviatt, S., Hang, K., Zhou, J., & Chen, F. (2015). Spoken interruptions signal productive problem solving and domain expertise in mathematics. In D. Bohus, R. Horaud, & H. Meng (Eds.), ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction: November 9-13, 2015 Seattle, Washington, USA (pp. 311-318). Association for Computing Machinery (ACM). https://doi.org/10.1145/2818346.2820743

Oviatt, Sharon ; Hang, Kevin ; Zhou, Jianlong et al. / Spoken interruptions signal productive problem solving and domain expertise in mathematics. ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction: November 9-13, 2015 Seattle, Washington, USA. editor / Dan Bohus ; Radu Horaud ; Helen Meng. New York NY USA : Association for Computing Machinery (ACM), 2015. pp. 311-318

@inproceedings{5065a43ccbe44d3e8778ecebd825b35f,

title = "Spoken interruptions signal productive problem solving and domain expertise in mathematics",

abstract = "Prevailing social norms prohibit interrupting another person when they are speaking. In this research, simultaneous speech was investigated in groups of students as they jointly solved math problems and peer tutored one another. Analyses were based on the Math Data Corpus, which includes ground-truth performance coding and speech transcriptions. Simultaneous speech was elevated 120-143% during the most productive phase of problem solving, compared with matched intervals. It also was elevated 18-37% in students who were domain experts, compared with nonexperts. Qualitative analyses revealed that experts differed from non-experts in the function of their interruptions. Analysis of these functional asymmetries produced nine key behaviors that were used to identify the dominant math expert in a group with 95-100% accuracy in three minutes. This research demonstrates that overlapped speech is a marker of group problem-solving progress and domain expertise. It provides valuable information for the emerging field of learning analytics.",

keywords = "Collaborative problem solving, Domain expertise, Dynamic group processes, Interruption, Math Data Corpus, Multimodal learning analytics, Simultaneous speech",

author = "Sharon Oviatt and Kevin Hang and Jianlong Zhou and Fang Chen",

year = "2015",

doi = "10.1145/2818346.2820743",

language = "English",

pages = "311--318",

editor = "Bohus, {Dan } and Horaud, {Radu } and Meng, {Helen }",

booktitle = "ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on Multimodal Interfaces 2015, ICMI 2015 ; Conference date: 09-11-2015 Through 13-11-2015",

url = "https://icmi.acm.org/2015/, https://dl.acm.org/doi/proceedings/10.1145/2818346",

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Oviatt, S, Hang, K, Zhou, J & Chen, F 2015, Spoken interruptions signal productive problem solving and domain expertise in mathematics. in D Bohus, R Horaud & H Meng (eds), ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction: November 9-13, 2015 Seattle, Washington, USA. Association for Computing Machinery (ACM), New York NY USA, pp. 311-318, International Conference on Multimodal Interfaces 2015, Seattle, Washington, United States of America, 9/11/15. https://doi.org/10.1145/2818346.2820743

Spoken interruptions signal productive problem solving and domain expertise in mathematics. / Oviatt, Sharon; Hang, Kevin; Zhou, Jianlong et al.

ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction: November 9-13, 2015 Seattle, Washington, USA. ed. / Dan Bohus; Radu Horaud; Helen Meng. New York NY USA : Association for Computing Machinery (ACM), 2015. p. 311-318.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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T1 - Spoken interruptions signal productive problem solving and domain expertise in mathematics

AU - Oviatt, Sharon

AU - Hang, Kevin

AU - Zhou, Jianlong

AU - Chen, Fang

N1 - Conference code: 17th

PY - 2015

Y1 - 2015

N2 - Prevailing social norms prohibit interrupting another person when they are speaking. In this research, simultaneous speech was investigated in groups of students as they jointly solved math problems and peer tutored one another. Analyses were based on the Math Data Corpus, which includes ground-truth performance coding and speech transcriptions. Simultaneous speech was elevated 120-143% during the most productive phase of problem solving, compared with matched intervals. It also was elevated 18-37% in students who were domain experts, compared with nonexperts. Qualitative analyses revealed that experts differed from non-experts in the function of their interruptions. Analysis of these functional asymmetries produced nine key behaviors that were used to identify the dominant math expert in a group with 95-100% accuracy in three minutes. This research demonstrates that overlapped speech is a marker of group problem-solving progress and domain expertise. It provides valuable information for the emerging field of learning analytics.

AB - Prevailing social norms prohibit interrupting another person when they are speaking. In this research, simultaneous speech was investigated in groups of students as they jointly solved math problems and peer tutored one another. Analyses were based on the Math Data Corpus, which includes ground-truth performance coding and speech transcriptions. Simultaneous speech was elevated 120-143% during the most productive phase of problem solving, compared with matched intervals. It also was elevated 18-37% in students who were domain experts, compared with nonexperts. Qualitative analyses revealed that experts differed from non-experts in the function of their interruptions. Analysis of these functional asymmetries produced nine key behaviors that were used to identify the dominant math expert in a group with 95-100% accuracy in three minutes. This research demonstrates that overlapped speech is a marker of group problem-solving progress and domain expertise. It provides valuable information for the emerging field of learning analytics.

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ER -

Oviatt S, Hang K, Zhou J, Chen F. Spoken interruptions signal productive problem solving and domain expertise in mathematics. In Bohus D, Horaud R, Meng H, editors, ICMI'15 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction: November 9-13, 2015 Seattle, Washington, USA. New York NY USA: Association for Computing Machinery (ACM). 2015. p. 311-318 https://doi.org/10.1145/2818346.2820743

Spoken interruptions signal productive problem solving and domain expertise in mathematics

Abstract

Conference

Keywords

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