The University of Iowa

Peerceptiv Logo

What is Peerceptiv?

Peerceptiv is a tool to augment peer-review of writing. It enables instructors to describe assignments and the process of peer review, create reviewing rubrics, and establish a communication framework for students to share and respond to each other. The platform supports peer review not only of written work, but also videos, business plans, presentations and other types of works that can benefit from peer assessment.

Peerceptiv also has a Team Evaluation feature, a peer evaluation that does not center on documents or products, but instead gives students an opportunity to evaluate team members’ contribution in any group project. Peerceptiv Team Evaluation type assignments can be set up manually, or connect to ICON when groups are already built in the People tab. Instructors can use this tool to gain quantitative and qualitative data about the dynamics of each group, and the group members gain valuable feedback that can help them improve their collaboration skills. 

ICON and Peerceptiv are fully integrated, allowing faculty and students to participate in peer review activities online, in either synchronous or asynchronous classroom settings.

To learn about integrating Peerceptiv into your course assignments, see our Peerceptiv External Tool setup page.

Getting Started with Peerceptiv

Incorporating peer review activities into your courses can help your students become better writers, readers, and collaborators. Peerceptiv scales this peer collaboration to any course size, and integrates it within your ICON course site. 

Documentation on getting started with Peerceptiv is available at the vendor support site, where you will find step by step guides to creating an assignment and introducing Peerceptiv to students.

The Office of Teaching, Learning & Technology Center for Teaching will help instructors with the planning for peer-review objectives and rubrics. For technical questions, contact the ITS Help Desk.

Resources

 

Back to All Technology Tools

Support for Peerceptiv