Papadopoulos, P.M. and Lagkas, T. orcid.org/0000-0002-0749-9794 (2014) Usage Data and Group Rankings in Peer Review Settings: A Case Study on Students' Behavior and Performance. In: 2014 IEEE 14th International Conference on Advanced Learning Technologies. 2014 IEEE 14th International Conference on Advanced Learning Technologies, 07-10 Jul 2014, Athens, Greece. IEEE , pp. 297-299. ISBN 978-1-4799-4038-7
Abstract
This paper focuses on the effect that usage data and group ranking information may have when are presented to students in a peer review setting. The study analyzes the performance and attitudes of 56 sophomore students enrolled in a Network Planning and Design course. The students, grouped randomly in three different conditions, followed the prescriptions of a free-selection peer review protocol that guided students in double-blind review process, allowing them to select on their own peer work for review. Students in the first condition acted as the control group without any information on their usage data or rankings. Students in the second condition had access to usage data information mirroring their activity in the study, while students in the third condition received additional information on their rankings inside their group. Result analysis suggests that, while there is not difference in domain knowledge acquisition, engagement was higher in the third group, with students spending more time in the activity and expressing a more positive attitude towards the study.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. |
Keywords: | engagement and motivation; peer review; free-selection; Computer Science Education |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Jun 2017 15:32 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | https://doi.org/10.1109/ICALT.2014.92 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICALT.2014.92 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116427 |