A Motivation Model of Peer Assessment in Programming Language Learning

摘要

Peer assessment is an efficient and effective learning assessment method thathas been used widely in diverse fields in higher education. Despite its manybenefits, a fundamental problem in peer assessment is that participants lackthe motivation to assess others' work faithfully and fairly. Non-consensus is acommon challenge that makes the reliability of peer assessment a primaryconcern in practices. This research proposes a motivation model that usesreview deviation and radicalization to identify non-consensus in peerassessment. The proposed model is implemented as a software module in a peercode review system called EduPCR4. EduPCR4 is able to monitor this measure andtrigger teacher's arbitration when it detects possible non-consensus. Anempirical study conducted in a university-level C programming course showedthat the proposed model and its implementation helped to improve the peerassessment practices in many aspects.