Teaching & Learning Track
Self-paced track · 5 topics · novice → moderate
Two sides of the same classroom. Topics 1, 2, and 5 are for instructors: writing a course AI policy students can actually follow, designing assignments that build competence whether or not students use AI, and setting up a course (groups, pages, due dates) with AI and the Canvas API. Topics 3–4 are for graduate students: reading those policies accurately and disclosing use specifically, then carrying the same habits into a thesis or dissertation that will become papers and fellowship applications.
Read the other side. The clearest instructors are the ones who have seen what a syllabus policy looks like from the seat it’s read in, and the students who read policies best are the ones who understand how they get written. Every page assumes you’ve done Core 1 (prompting and the Drexel data rules); instructors will also want the AI for Curriculum Development elective. ChatGPT Edu is available to Drexel faculty, staff, and students — see Tools & Access for what each group has.
Difficulty levels
Novice getting started — no prior experience needed. Moderate comfortable with some AI use. Advanced experienced users going deep.
Topics
| # | Topic | For | Level | You’ll be able to… |
|---|---|---|---|---|
| 1 | Writing Your Course AI Policy | Instructors | Novice | Write a clear, enforceable AI policy for your syllabus |
| 2 | Assignment & Assessment Design in the AI Era | Instructors | Moderate | Design assignments that develop competence whether students use AI or not |
| 3 | AI in Your Coursework | Students | Novice | Read course AI policies in good faith, disclose specifically, and ask before you submit |
| 4 | AI for Your Thesis or Dissertation | Students | Moderate | Apply the “AI critiques, never drafts” rule before a funder or journal makes it formal |
| 5 | Setting Up Your Course with AI | Instructors | Moderate | Form groups from a de-identified survey and update Canvas in bulk with the API |
Not sure where to start?
Answer a few questions to find your starting point in this track.
Instructors: use fabricated examples — never put real student submissions, grades, or advising notes into an AI tool. Students: your unpublished thesis work and any practicum or assistantship data belong in an approved tool, not a consumer one. See Tools & Access and Drexel’s AI Tools page.
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