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ERIC Number: EJ1076319
Record Type: Journal
Publication Date: 2015-Apr
Pages: 19
Abstractor: As Provided
ISSN: ISSN-0735-6331
Toward Motivating Participants to Assess Peers' Work More Fairly: Taking Programing Language Learning as an Example
Wang, Yanqing; Ai, Wenguo; Liang, Yaowen; Liu, Ying
Journal of Educational Computing Research, v52 n2 p180-198 Apr 2015
Peer assessment is an efficient and effective learning assessment method that has been used widely in diverse fields in higher education. Despite its many benefits, a fundamental problem in peer assessment is that participants lack the motivation to assess others' work faithfully and fairly. Nonconsensus is a common challenge that makes the reliability of peer assessment a primary concern in practices. This research proposes a motivation model that uses review deviation and radicalness to identify nonconsensus in peer assessment. The proposed model is implemented as a software module in a peer code review system called EduPCR4. EduPCR4 is able to monitor peer assessment results and trigger teacher's arbitration when it detects possible nonconsensus. An empirical study conducted in a university-level C programing course showed that the proposed model and its implementation helped to improve the peer assessment practices in many aspects.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A