Readerbench: An integrated cohesion-centered framework

Mihai Dascalu, Larise L. Stavarache, Philippe Dessus, Stefan Trausan-Matu, Danielle McNamara, Maryse Bianco

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

9 Scopus citations


ReaderBench is an automated software framework designed to support both students and tutors by making use of text mining techniques, advanced natural language processing, and social network analysis tools. ReaderBench is centered on comprehension prediction and assessment based on a cohesion-based representation of the discourse applied on different sources (e.g., textual materials, behavior tracks, metacognitive explanations, Computer Supported Collaborative Learning – CSCL – conversations). Therefore, Reader‐ Bench can act as a Personal Learning Environment (PLE) which incorporates both individual and collaborative assessments. Besides the a priori evaluation of textual materials’ complexity presented to learners, our system supports the identification of reading strategies evident within the learners’ self-explanations or summaries. Moreover, ReaderBench integrates a dedicated cohesion-based module to assess participation and collaboration in CSCL conversations.

Original languageEnglish (US)
Title of host publicationDesign for Teaching and Learning in a Networked World - 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Proceedings
EditorsJohannes Konert, Tomaž Klobučar, C. Rensing, Gráinne Conole, Élisé Lavoue
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783319242576
StatePublished - 2015
Event10th European Conference on Technology Enhanced Learning, EC-TEL 2015 - Toledo, Spain
Duration: Sep 15 2015Sep 18 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th European Conference on Technology Enhanced Learning, EC-TEL 2015


  • Comprehension prediction
  • Identification of reading strategies
  • Participation and collaboration evaluation
  • Textual complexity assessment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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