A study of students' heuristics and strategy patterns in web-based reciprocal peer assessment for science learning

Abstract

This study examined the strategies of undergraduate student teachers participating in web-based reciprocal peer-assessment and how they were associated with learning gains in an inquiry-oriented, science learning environment. Twenty-seven participants from a university in Cyprus reciprocally assessed the digital learning products they prepared as they engaged in a web-based study unit on marine ecosystems and in particular prey-predator relationships. Data were collected through screen-video capture, peer feedback protocols, pre- and post-instructional tests and interviews, as well as the students' learning products. Data were exposed to qualitative analysis and then also treated quantitatively through the use of non-parametric tests. Our analysis led to the identification of a range of student profiles characterizing different peer-assessment patterns. In the peer-assessor role, students were distinguished into autonomous and informed assessors; whereas in the case of the assessee role they were discriminated into engaged but unlucky, disinterested and engaged assessees. Students' learning gains were associated with their actions as peer-assessees and their attitudes towards peer feedback. The findings have implications for teaching practice as well as policy for teaching and learning in web-based learning environments. © 2015 Elsevier Inc.