Towards dynamic intelligent support for collaborative problem solving

Sidney D'Mello, Angela E.B. Stewart, Mary Jean Amon, Chen Sun, Nicholas Duran, Valerie Shute

Research output: Contribution to journalConference article

Abstract

We discuss progress towards the design of collaborative interfaces that automatically assess key facets of collaborative problem solving (CPS) and intervene accordingly. Our work is grounded in a generalized theoretical model of CPS including three major facets (constructing shared knowledge, negotiation/coordination, and maintaining team function), subfacets, and verbal and nonverbal indicators. We report results of two studies that validated the model followed by speech and language processing techniques to automate the assessment of the CPS facets. We conclude by discussing future plans on how to incorporate the models in next-generation CPS interfaces that support dynamical assessment and intelligent intervention.

Original languageEnglish (US)
Pages (from-to)59-65
Number of pages7
JournalCEUR Workshop Proceedings
Volume2501
StatePublished - 2019
Externally publishedYes
Event2019 Approaches and Challenges in Team Tutoring Workshop, TTW-AIED 2019 - Held in conjunction with the 20th Artificial Intelligence in Education Conference, AIED 2019 - Chicago, United States
Duration: Jun 29 2019 → …

Keywords

  • Assessing Collaborative Problem Solving
  • Machine Learning
  • Natural Language Processing

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    D'Mello, S., Stewart, A. E. B., Amon, M. J., Sun, C., Duran, N., & Shute, V. (2019). Towards dynamic intelligent support for collaborative problem solving. CEUR Workshop Proceedings, 2501, 59-65.