Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench

Mihai Dascalu, Maria-Dorinela Sirbu, Stefan Ruseti, Scott A. Crossley, Stefan Trausan-Matu, Gabriel Gutu-Robu

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Computer Supported Collaborative Learning (CSCL) environments facilitated by technology have become a viable learning alternative from which valuable data can be extracted and used for advanced analyses centered on evaluating participants’ involvement and their interactions. Such automated assessments are implemented within the ReaderBench framework, a Natural Language Processing platform that contains multiple advanced text analysis functionalities. The ReaderBench framework is based on Cohesion Network Analysis from which different sociograms, relying on semantic similarity, are generated in order to reflect interactions between participants. In this paper, we briefly describe the enforced mechanisms used to compare two Math communities, namely an online knowledge building community and an online course.
Original languageEnglish
Title of host publicationLifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings
EditorsRaymond Elferink, Hendrik Drachsler, Viktoria Pammer-Schindler, Mar Perez-Sanagustin, Maren Scheffel
PublisherSpringer UK
Number of pages5
ISBN (Electronic)978-3-319-98572-5
ISBN (Print)978-3-319-98571-8
Publication statusPublished - 2018
Externally publishedYes
Event13th European Conference on Technology Enhanced Learning: Lifelong Technology-Enhanced Learning (EC-TEL 2018) - Leeds, United Kingdom
Duration: 3 Sept 20186 Sept 2018


Conference13th European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL 2018
Country/TerritoryUnited Kingdom
Internet address


  • Cohesion Network Analysis
  • Natural Language Processing
  • ReaderBench framework
  • Sociograms
  • Text cohesion


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