Feedback Loop's new real-time peer feedback coach can improve the quality of feedback that students give. As students write, it checks their comments for consistency with the ratings and other comments they have given, for being specific, constructive, and professional, and for several other qualities based on faculty feedback we have received. Feedback Loop uses a structured decision engine to avoid the downsides of a freeform AI tool, while providing coaching for any custom survey content you create as well as Feedback Loop's provided survey templates.
Helpful and High Quality Peer Feedback
This check analyzes students' written comments for being specific, constructive, and professional. Feedback that is off-topic or otherwise unhelpful is flagged. As students edit their feedback or continue typing, it is continually rechecked, providing students with real-time insights on their feedback.
Consistency Across Ratings and Comments
This check looks at students' written comments for consistency across the scores they gave within the same question category. Results may vary across the peer feedback survey, and that's okay, but within a category (e.g., teamwork and professionalism, pictured below) students' ratings should be consistent with the comments they provide. This check flags when comments are inconsistent.
You Are In Control: Disable or Enable Feedback Coach
We know different courses have different needs, so we have built flexibility into Feedback Loop across the platform. Feedback Loop Peer Feedback Coach can be disabled by faculty and instructor users at any time from the settings menu.
