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This is a collection of resources from the CTLI and other contributors on iTeachMSU focused on syllabi at MSU. Topics include syllabus design, requirements, considerations, MSU resources and templates, and policies. Feel free to email any new syllabus resources for this playlist to the CTLI [teaching@msu.edu]

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A good portion of your students will likely use AI to some extent this semester, so plan accordingly. Many students are aware of generative AI, and at least some of them will use these tools for their course work. Critically considering your course design in the context of generative AI is an important educator practice.

The following MSU-specifics should be used to inform your decisions...

Overall guidance: We collectively share the responsibility to uphold intellectual honesty and scholarly integrity. These are core principles that may be compromised by the misuse of GenAI tools, particularly when GenAI-generated content is presented as original, human-created work.

Permitted uses in Teaching & Learning: Instructors are expected to establish a course-specific guidance that defines the appropriate and inappropriate use of GenAI tools.

Students may only use GenAI tools to support their coursework in ways explicitly permitted by the instructor.
Non-permissible uses:

Do not Use GenAI to deliberately fabricate, falsify, impersonate, or mislead, unless explicitly approved for instruction or research in a controlled environment.
Do not Record or process sensitive, confidential, or regulated information with
non-MSU GenAI tools.
Do not Enter FERPA-protected student records, PII, PHI, financial, or HR data into unapproved tools; comply with MSU’s data policy and all regulations.
Do not Use export-controlled data or CUI with GenAI tools unless approved for MSU’s Regulated Research Enclave (RRE).