Reviewer Assignment Strategy of Peer Assessment: Towards Managing Collusion in Self-assignment

DOI

10.2991/ssphe-18.2019.75How to use a DOI?

Keywords

peer assessment, reviewer assignment, collusion, co-occurrence network, self-assignment strategy, EduPCR

Abstract

Peer assessment is an efficient and effective learning process that has been widely used in diverse fields in the higher education. Despite of its many benefits, collusion is a common challenge that makes the reliability of peer assessment a primary concern in practices, especially when self-assignment strategy is applied in reviewer assignment. This research aims to propose a model of collusion management that applies co-occurrence network as a means to identify collusion. The proposed model is implemented as a software module in a peer code review system called EduPCR. EduPCR is able to monitor this measure and trigger instructor’s inquiries to collusion suspects when it identifies suspected collusion. A verification implemented in a university-level C Programming course shows that the proposed collusion management model is reasonable and the identification algorithm is practical in diverse peer assessment contexts.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanqing Wang
AU  - Bingyu Liu
AU  - Kun Zhang
AU  - Yushan Jiang
AU  - Fuquan Sun
PY  - 2019/01
DA  - 2019/01
TI  - Reviewer Assignment Strategy of Peer Assessment: Towards Managing Collusion in Self-assignment
BT  - Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)
PB  - Atlantis Press
SP  - 313
EP  - 317
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssphe-18.2019.75
DO  - 10.2991/ssphe-18.2019.75
ID  - Wang2019/01
ER  -