Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?.

Arabella J Sinclair, Bertrand Schneider

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

Collaborative dialogue is rich in conscious and subconscious coordination behaviours between participants. This work explores collaborative learner dialogue through theories of alignment, analysing inter-partner movement and language use with respect to our hypotheses: that they interrelate, and that they form predictors of collaboration quality and learning. In keeping with theories of alignment, we find that linguistic alignment and gestural synchrony both correlate significantly with one another in dialogue. We also find strong individual correlations of these metrics with collaboration quality. We find that linguistic and gestural alignment also correlate with learning. Through regression analysis, we find that although interconnected, these measures in combination are significant predictors of collaborative problem solving success. We contribute additional evidence to support the theory that alignment takes place across multiple levels of communication, and provide a methodological approach for analysing inter-speaker dynamics in a multimodal task based setting. Our work has implications for the teaching community, our measures can help identify poorly performing groups, lending itself to informing the design of real time intervention strategies or formative assessment for collaborative learning
Original languageEnglish
Title of host publicationProceedings of the International Conference on Educational Data Mining (EDM)
EditorsI-Han Sharon Hsiao, Shaghayegh Sahebi, François Bouchet, Jill-Jênn Vie
PublisherInternational Educational Data Mining Society
Pages431-438
Number of pages8
ISBN (Electronic)978-1-7336736-2-4
Publication statusPublished - 30 Jun 2021
EventInternational Conference on Educational Data Mining - Online Event, Paris, France
Duration: 29 Jun 20212 Jul 2021
https://educationaldatamining.org/edm2021/

Conference

ConferenceInternational Conference on Educational Data Mining
Country/TerritoryFrance
CityParis
Period29/06/212/07/21
Internet address

Bibliographical note

Acknowledgements: First author funded under grant agreement No. 819455 from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme.

Keywords

  • Dialogue
  • Gesture
  • Natural Language Processing
  • Alignment
  • Collaborative Learning

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