AI and the Classroom: Policy & Practice
Explore York’s Artificial Intelligence (AI) policies and resources that support course design. AI can help instructors with more quickly prototyping some of the more time intensive pieces of course design like designing rubrics, creating different versions of assessments and ideating teaching approaches. The pages below also share important considerations when using AI tools, including information security, privacy, academic honesty, and other factors.

Key Idea
Prototyping with AI can help move forward elements of course design from draft to final, inspiring new ideas and leaving more time for instructors to keep their focus on key aspects of the process.

AI Policies and Guidelines


Pause & Reflect
The following questions invite instructors to pause and reflect on their current practices and explore opportunities related to Gen AI and course design:
- How are disciplines changing with the rapid development of AI tools and technologies?
- How might instructors leverage AI tools to ethically and responsibly support course design?
- Could using AI tools help support some more timing-consuming aspects of course design or redesign?
Learn More
Beckingham, S., Lawrence, J., Powell S. & Hartley, P., eds. (2024). Using generative AI effectively in higher education: sustainable and ethical practices for learning, teaching and assessment.
Cornell University Centre for Teaching Innovation. (n.d.). AI & academic integrity.
Joyner, D.A. (2024). A teacher's guide to conversational AI: Enhancing assessment, instruction, and curriculum with chatbots.
Schluer J., & Arndt, M. (2024). Digital feedback in higher education: teaching practices, student voices, and research findings.
Teaching Commons. (n.d.). Teaching Commons certificates in AI pedagogy.

