Resources: CET


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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.

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Brief Peer Review Tool: Active Learning

This document provides a structured peer review tool with submission guidelines and a rubric that instructors can use to evaluate a colleague’s active learning lesson plan and offer targeted feedback on engagement, inclusion, and effectiveness.

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Student Use of AI in Assignments: A Decision Protocol for Instructors

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.

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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.

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Teaching With AI

A practical guide to navigating the opportunities and challenges of generative artificial intelligence (AI) in your teaching. It offers strategies, examples, and prompts to enhance learning, streamline teaching, support students, and address key ethical and pedagogical concerns.

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What’s your p(doom)?

For this Spring 2025 Faculty Showcase on AI in Teaching, Helen Choi, Viterbi School of Engineering, shares her “What’s your p(doom)?” assignment in which students make and justify a personal calculation of the probability of “doom” (e.g., social, environmental, political, economic collapse) in relation to AI technology. Keywords: AI, artificial intelligence.

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