Discourse cohesion: A signature of collaboration

Mihai Dascalu, Stefan Trausan-Matu, Philippe Dessus, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations


As Computer Supported Collaborative Learning (CSCL) becomes increasingly adopted as an alternative to classic educational scenarios, we face an increasing need for automatic tools designed to support tutors in the time consuming process of analyzing conversations and interactions among students. Therefore, building upon a cohesion-based model of the discourse, we have validated ReaderBench, a system capable of evaluating collaboration based on a social knowledge-building perspective. Through the inter-twining of different participants' points of view, collaboration emerges and this process is reflected in the identified cohesive links between different speakers. Overall, the current experiments indicate that textual cohesion successfully detects collaboration between participants as ideas are shared and exchanged within an ongoing conversation.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450334174
StatePublished - Mar 16 2015
Event5th International Conference on Learning Analytics and Knowledge, LAK 2015 - Poughkeepsie, United States
Duration: Mar 16 2015Mar 20 2015

Publication series

NameACM International Conference Proceeding Series


Other5th International Conference on Learning Analytics and Knowledge, LAK 2015
Country/TerritoryUnited States


  • Cohesion
  • Collaboration Assessment
  • Computer Supported Collaborative Learning
  • Discourse Analysis
  • Learning Analytics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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