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Why You Should Give Your Students Automatic Process Feedback on Their Collaboration: Evidence from a Randomized Experiment

  • Lukas Menzel*
  • , Sebastian Gombert
  • , Joshua Weidlich
  • , Aron Fink
  • , Andreas Frey
  • , Hendrik Drachsler
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

    Abstract

    In Computer-Supported Collaborative Learning (CSCL), students learn in small groups to achieve learning benefits outside what would be possible for individual students. As in other forms of learning, students need feedback on the quality of their work. Still, writing high-quality informative feedback requires time on the part of educators. This makes it less feasible to provide quality feedback at scale. Given the importance of group dynamics in CSCL, quality feedback should also contain information about group processes and discussion quality. Emergent roles provide a natural anchor point for this.
    We propose a method to automatically deliver highly informative, textual process feedback for CSCL forum discussion tasks in an introductory teacher education class, focusing on individual students’ group communication. This feedback is generated from several discourse indicators, that are used to derive emergent roles of the students. From that we derive feedback about strengths and potential for improvement. In a randomized control trial, we show that the highly informative feedback generated with our method is preferred by the students. Implications and avenues for future research are discussed in light of these findings.
    Original languageEnglish
    Title of host publicationResponsive and Sustainable Educational Futures
    Subtitle of host publication18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal, September 4–8, 2023, Proceedings
    EditorsOlga Viberg, Ioana Jivet, Pedro J. Muñoz-Merino, Maria Perifanou, Tina Papathoma
    PublisherSpringer, Cham
    Pages198-212
    Number of pages15
    Volume14200
    ISBN (Electronic)978-3-031-42682-7
    ISBN (Print)9783031426810
    DOIs
    Publication statusPublished - Aug 2023
    Event18th European Conference on Technology Enhanced Learning, ECTEL 2023 - Aveiro, Portugal
    Duration: 4 Sept 20238 Sept 2023
    https://ea-tel.eu/ectel2023

    Publication series

    SeriesLecture Notes in Computer Science
    Volume14200
    ISSN0302-9743

    Conference

    Conference18th European Conference on Technology Enhanced Learning, ECTEL 2023
    Country/TerritoryPortugal
    CityAveiro
    Period4/09/238/09/23
    Internet address

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