Readerbench: The learning companion

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

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

4 Scopus citations

Abstract

Continuous progress tracking in terms of automated essay scoring, assessment of reading strategies, and evaluation of learners' involvement in collaboration groups represents a key component in technology-scaffolded learning. Our educational software, ReaderBench [1, 2], is based on current research in the automated essay scoring field (E-rater, iSTART, Coh-Metrix), but provides an integrated approach centered on cohesion. ReaderBench supports both tutors and students, affording automated evaluations of reading strategies, course materials selection, and CSCL collaboration. ReaderBench has been designed to flexibly allow multiple configurations for various educational scenarios and languages (English, French, and Italian).

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings
EditorsCristina Conati, Neil Heffernan, Antonija Mitrovic, M. Felisa Verdejo
PublisherSpringer Verlag
Pages915-916
Number of pages2
ISBN (Print)9783319197722
StatePublished - 2015
Event17th International Conference on Artificial Intelligence in Education, AIED 2015 - Madrid, Spain
Duration: Jun 22 2015Jun 26 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9112
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Artificial Intelligence in Education, AIED 2015
CountrySpain
CityMadrid
Period6/22/156/26/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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