Brief Peer Review Tool: Syllabus
This document offers a peer review framework with criteria and rubrics that instructors can use to evaluate a colleague’s course syllabus and provide feedback on clarity, alignment, transparency, and student support.

This document offers a peer review framework with criteria and rubrics that instructors can use to evaluate a colleague’s course syllabus and provide feedback on clarity, alignment, transparency, and student support.
This document provides a peer review tool with criteria and rubrics that instructors can use to evaluate how well a colleague’s assessments align with learning objectives and offer feedback on rigor, clarity, and equity.
This document offers a peer review framework with criteria and rubrics that instructors can use to evaluate a colleague’s course assignment descriptions and associated rubrics to provide feedback on clarity, alignment, transparency, and student support.
This six-step decision protocol helps instructors determine when and how students should use AI in assignments by anchoring those decisions in learning objectives and core thinking skills. It guides instructors to map assignment workflows, evaluate where AI supports or undermines learning, and produce clear, student-facing guidance on appropriate AI use. It includes a note-capture template and a worked example of the protocol.
This Assignment Description Template offers a clear, adaptable format you can use to support student success and transparency on assignments.
This resource supports instructors in designing purposeful, transparent assignments that promote student learning and are manageable to assess. It includes research-informed strategies, templates, and examples adaptable across course contexts.
This resource provides strategies on active learning for a variety of teaching settings, including tips for implementation, sample activity descriptions, options for planning active learning, and relevant research.