Peerceptiv’s assessment technology and grading algorithms were developed over two decades of Peer Learning research at the University of Pittsburgh Learning Research & Development Center.
Key Peer Learning research findings include:
- Student performance improves significantly when students provide peer feedback. Students learn through engaging in teaching their peers as they review.
- Student performance improves more through feedback from multiple peers than through feedback from a single instructor or expert.
- Students who participate exclusively in peer review tend to perform better than those who only complete and submit their own assignments.
- Grades generated from multiple peers tend to be more reliable and just as valid as those generated from a single expert instructor.
- Peer assessment benefits learners at all proficiency levels, regardless of whether the feedback comes from less or more advanced peers. There is no discernible improvement from breaking peers into similarly-skilled subgroups.
More than twenty years of Peer Learning research has proven the efficacy of peer assessment from Peerceptiv.