Student perception of scalable peer-feedback design in massive open online courses

Julia Kasch, Peter van Rosmalen*, Ansje Löhr, Ad Ragas, Marco Kalz

*Corresponding author for this work

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

Abstract

There is scarcity of research on scalable peer-feedback design and student’s peer-feedback perceptions and therewith their use in Massive Open Online Courses (MOOCs). To address this gap, this study explored the use of peer-feedback design with the purpose of getting insight into student perceptions as well as into providing design guidelines. The findings of this pilot study indicate that peer-feedback training with the focus on clarity, transparency and the possibility to practice beforehand increases students willingness to participate in future peer-feedback activities and training, increases their perceived usefulness, preparedness and general attitude regarding peer-feedback. The results of this pilot will be used as a basis for future large-scale experiments to compare different designs.
Original languageEnglish
Title of host publicationTechnology Enhanced Assessment - 20th International Conference, TEA 2017, Revised Selected Papers
EditorsEric Ras, Ana Elena Guerrero Roldán
Place of Publication18650929
PublisherSpringer
Pages54-68
Number of pages15
Volume829
ISBN (Print)9783319978062
DOIs
Publication statusPublished - 1 Jan 2018
Event20th International Conference on Technology Enhanced Assessment - Barcelona, Spain
Duration: 5 Oct 20176 Oct 2017
Conference number: 20

Publication series

SeriesCommunications in Computer and Information Science
Volume829
ISSN1865-0929

Conference

Conference20th International Conference on Technology Enhanced Assessment
Abbreviated titleTEA 2017
Country/TerritorySpain
CityBarcelona
Period5/10/176/10/17

Keywords

  • Educational scalability
  • MOOCs
  • Peer-feedback
  • Scalable design

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