Guidance, Tools and Real Examples for Teaching with AI
AI is changing what students arrive knowing, what they expect from coursework, and what skills they'll need after graduation. Kent State supports faculty in navigating this thoughtfully, with practical tools, syllabus resources and a community of colleagues working through the same questions.
Syllabus guidance and course policy
The Center for Teaching and Learning has developed model syllabus language for three approaches: AI prohibited, AI permitted with disclosure, and AI integrated as a course tool. These are starting points, course-level policy is your call.
AI in the classroom, real examples
Kent State faculty across colleges are using AI for case study generation, rubric drafting, feedback acceleration, and structured student reflection on AI outputs. CTL maintains a growing library of real examples, contributed with faculty permission.
Approved tools for teaching
Microsoft Copilot, Google Gemini/NotebookLM, and Adobe Firefly are sanctioned for university use. NotebookLM is particularly strong for teaching, create a shared notebook from course readings for students to interact with. Do not process FERPA-protected student data through any AI tool without IT guidance.
Using AI in research
AI use in research contexts, for data analysis, literature review, or grant writing, carries additional considerations around attribution, reproducibility, and publisher and funder policy. Kent State Libraries and the Office of Research can help you navigate these.