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QEP Writing Through Revision

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For the 2018-2019 academic year, Spalding has purchased a Moodle-integrated tool called Peerceptiv, which supports student-to-student peer review of course-based writing.

Peerceptiv is meant to process-focused writing, student engagement, and active learning across the curriculum by streamlining and automating the elements of teaching writing that instructors report to be onerous: namely, an increased demand on scheduling classroom time for reflection and an increased grading burden.

With Peerceptiv, Instructors specify the submission windows and content parameters for both drafts and peer reviews, and upload a rubric that facilitates the peer review.

The peer reviews are double-blind, the weighting of grades is flexible (either student-driven or instructor-driven according to your needs), and students are held accountable to high standards for their peer reviews because the reviews are rated for “helpfulness” by the author of the original paper.

For assessment purposes, use of Peerceptiv (or another peer-review process, approved by the QEP Steering Committee, if the instructor does not want to use Peerceptiv) will be required for all courses designated by each Spalding program as writing-intensive for the QEP.

However, we believe that this tool has inherent utility for any course, undergraduate or graduate, across the curriculum. We hope you’ll give it a try with your students!

Peerceptiv Orientation Webinar

What is Peerceptiv?

Why Peerceptiv?

Why should you be excited to use Peerceptiv?

According to the Peerceptiv website:

Peerceptiv is a cloud-based, double-blind, peer-to-peer student assessment system, with no software to download or servers to support.  Students upload their assignments into Peerceptiv, which automatically and anonymously assigns the document to 3 to 6 of the student’s classmates.

Peerceptiv uses accountability and analytics to ensure consistently high learning outcomes…

  • Peerceptiv Holds Students Accountable – Students have to apply themselves in the review phase, which research has shown is the key to effective peer assessment for both the receiver and giver of feedback.
  • Peerceptiv Generates Instructor Analytics – Only Peerceptiv generates the data to confirm for instructors that learning objectives are being met, identify students in need of intervention, and provide guidance on rubric improvement.

Peerceptiv’s design and outcomes are the result of a decade of research at the University of Pittsburgh, validating that feedback from multiple peers is more reliable and just as valid as from a single expert instructor.  Peerceptiv has been used all over the world in some of the top institutions of higher education.

Most important, students benefit from the learning value of critiquing the work of one’s peers.   You don’t know a subject until you try to teach it, and many studies have confirmed the learning benefit in participating on the ‘giving’ side of the feedback loop.

What's the research behind Peerceptiv?

A decade of research, to be exact!

According to the Peerceptiv website:

Peerceptiv™ has been developed and validated by a decade of research under the name SWoRD Peer Assessment at the University of Pittsburgh Learning Research & Development Center.  Findings from this research clearly demonstrate the learning value in critiquing the work of one’s peers…

  • Student writing performance improves significantly when students provide peer feedback – students understand the art better when they try to teach it.  While the intent is to improve writing skills in students by having them write and critique the work of their peers, research has shown that learning outcomes are higher in students who only provide feedback on the work of others compared with those who only write.
  • Writing assignments improve more from multiple peer feedback than they do from single instructor (expert) feedback.
  • Grades generated from multiple peers tend to be more reliable and just as valid as those generated from a single expert instructor.
  • The benefit derived is uniform among 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.)

Click here to see the main research publications validating the learning benefits of Peerceptiv

Having trouble accessing Peerceptiv?

Please try opening Peerceptiv through either Google Chrome or Mozilla Firefox to avoid any compatibility issues.  If you continue to have any issues accessing Peerceptiv, please try having the browser set to accept cookies (it must be set to accept cookies for Peerceptiv to work well).  You can also clear the browser cache in order for Peerceptiv to work correctly.