Peerceptiv’s assessment technology and grading algorithms were developed over a decade of peer learning research at the University of Pittsburgh Learning Research & Development Center.
Peerceptiv grew out of a research project from the University of Pittsburgh. Findings from this research clearly demonstrate that critiquing the work of one’s peers improves learning outcomes at the LRDC.
Key peer learning research findings include:
- Student writing performance improves significantly when students provide peer feedback. Students learn through engaging in teaching their peers as they review.
- Student writing performance improves more through feedback from multiple peers than through feedback from a single instructor or expert.
- Students who only provide feedback on the work of others perform better than those students who only write.
- Grades generated from multiple peers tend to be more reliable and just as valid as those generated from a single expert instructor.
- Peer assessment uniformly benefits weaker and stronger writers regardless if the feedback is generated from weaker or stronger reviewers. There is no discernible improvement from breaking peers into similarly-skilled subgroups.
More than ten years of peer learning research has proven the efficacy of peer assessment from Peerceptiv. Improve efficiency of instruction, while promoting high quality learning for any size classroom.