Reviewer Assignment Strategy of Peer Assessment: Towards Managing Collusion in Self-assignment
Yanqing Wang, Bingyu Liu, Kun Zhang, Yushan Jiang, Fuquan Sun
Available Online January 2019.
- https://doi.org/10.2991/ssphe-18.2019.75How to use a DOI?
- peer assessment, reviewer assignment, collusion, co-occurrence network, self-assignment strategy, EduPCR
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/ssphe-18.2019.75 ID - Wang2019/01 ER -