Peer Learning Tool from Peerceptiv

Peerceptiv®, a research-validated, data-driven peer learning tool, actively engages learners and improves instructional efficiency.

Peerceptiv supports a wide range of assignment types including writing, presentations, video uploads, computer code, and more. Students receive more formative feedback while generating grades that correlate highly with how an expert would assess those same artifacts.

When students engage in peer learning, they internalize the standards expected of themselves by reviewing others against those same standards. The incentivized engagement in peer learning naturally leads to the biggest learning gains in those students most at-risk of not completing their coursework, leading to improved retention and lower cost. Actionable learning data allows instructors to personalize learning for students in their specific area of need.

Peer & Self Assessment

Team Member Evaluation

Collaborative Learning

Instructor Analytics

Bias-Free

Validated Grading

Peer & Self Assessment

Peer assessment allows your classroom to become a community of learners working toward each others’ academic success. As students review each other, they gain a deeper understanding of the course content while improving writing and critical thinking skills.

Assessment is no longer a one-time event, but an ongoing process of feedback, understanding and improvement. Students receive quality feedback to take into the next assignment. As they act in the role of teacher to their peers, students improve their:

Metacognitive skills
Understanding of course materials
Writing across the disciplines

Peerceptiv’s online peer learning tool encourages students to be active learners throughout the assessment process.

Team Member Evaluation

Peerceptiv’s Team Member Evaluation tool is an anonymous way to evaluate team members’ contribution in any group project. Instructors, administrators, or HR professionals can use the completely customizable tool to gain quantitative and qualitative data about the dynamics of each group. Team members can comment on metrics such as Professionalism, Communication, Content Knowledge and Skills, Work Ethic, Overall Contribution, as well as custom metrics. Group members gain valuable insight that can help them improve their collaboration skills. Team Member Evaluation can be used as part of a Peerceptiv group assessment or on its own.

Collaborative Learning

Peerceptiv’s research-validated framework provides a platform for truly collaborative learning. Collaboration is most successful when students with diverse perspectives push each other to improve.

With instructor-created commenting prompts, students are encouraged to provide high-quality, constructive, and specific comments to one another. Commenting on a classmate’s work, both good and bad, is a valuable learning opportunity. Students not only benefit from receiving constructive feedback, but also from giving it. Peerceptiv gives students the opportunity to act as teacher to their peers, providing a valuable opportunity for growth.

Instructor Analytics

Peerceptiv offers instructors a powerful tool to verify and improve learning outcomes through the analytics dashboard. Based on algorithms developed over a decade at the University of Pittsburgh, Peerceptiv’s data dashboard allows instructors to:

quickly identify students in need of intervention
differentiate instruction on future assignments
analyze the efficacy of assignment rubrics
track student progress through assignments.

These analytics are specifically designed to improve higher order skills, like critical thinking, writing, and argumentation.

Instructors can track student growth in any of these skills by utilizing Peerceptiv’s standards-based rubric dimensions. With IMS Global Caliper Analytics compliance, institutions can see metrics that measure the success of using Peerceptiv.

Bias-Free

Peerceptiv is a double-blind peer assessment technology. Reviewers do not know the identity of authors, and authors do not know which classmates wrote the reviews they received.

Peerceptiv reduces inherent bias that is common in traditional assessment practices. Instructors can feel confident that feedback and grades are based solely on predetermined performance rubrics, resulting in a true measure of student mastery.

With anonymous reviewing, students are empowered in the role of reviewer, no matter their ability level or cultural background. When peers review each other anonymously, diverse perspectives accelerate student growth.

Over a decade of research has demonstrated how our bias-free online peer assessment tool ensures higher quality feedback.

Validated Grading

Peerceptiv’s automated grading algorithms are a result of a decade of research at the University of Pittsburgh’s Learning Research & Development Center.

Using peer ratings and reliability data, Peerceptiv can generate grades that are as accurate as traditional instructor grading, removing the grading bottleneck and allowing for more efficient instruction at lower cost.