Surveying 513 high school students who had used SWoRD — the system that became Peerceptiv — researchers found most valued peer review, and three specific features stood out as most beneficial.
Godley, A. J., DiMartino, S., Loretto, A. (2016). "Secondary Students’ Perceptions of Peer Review in Writing." Research in the Teaching of English, 51(2).
Most peer-review research measures outcomes: does the writing get better, are the ratings valid. This study asked a different question, directly of the people doing the reviewing: what do students actually think of the experience, and which specific features of the system do they find genuinely useful?
Researchers administered a questionnaire to 513 high school students across four schools who had used SWoRD, the online peer review system built at the University of Pittsburgh that was later renamed and commercialized as Peerceptiv. Responses were analyzed both quantitatively and qualitatively.
Most students viewed peer review as genuinely helpful to their writing development. Three specific features were consistently rated most valuable: the anonymity of both writers and reviewers, the opportunity to review other students' work, and receiving feedback from multiple readers rather than one.
These aren't incidental preferences; they're the same three structural choices Peerceptiv still builds its platform around today: anonymous review, every participant reviewing peers' work, and multiple reviewers per submission. When employees resist a peer-feedback program, this research suggests the fix usually isn't abandoning peer review — it's checking whether these three specific structural elements are actually in place.
Chris Schunn's research group conducted this survey on what students actually valued about SWoRD, the system that became Peerceptiv. He is a Professor of Psychology, Learning Sciences and Policy, and Intelligent Systems at the University of Pittsburgh and a Senior Scientist at the University's Learning Research and Development Center (LRDC), where he has directed research projects backed by more than $80M in federal grants. As Peerceptiv's Chief Learning Scientist, his research directly shapes how the platform structures reviewer prompts, rubrics, and feedback workflows.
