An AI Playbook for Teaching and Assessment: Practical Guidance for Effective Learning and Academic Integrity
Examine how AI is being used on campuses today.
Students have the AI tools. Do your instructors have the playbook? Recent Honorlock survey data shows a disconnect: 63% of students use AI for coursework, yet most lack the coordinated training and course-level guidance needed to protect academic integrity while supporting effective learning.
Join higher education experts and campus leaders as they connect policy with practice. Drawing on Inside Higher Ed research and Honorlock's survey of 1,005 students, they'll examine how AI is actually being used on campus, where guidance falls short and what's working at peer institutions.
Get real-world perspectives on implementing successful AI strategies, with examples of scalable training, clear course expectations, and assessments that maintain integrity while allowing productive AI use.
You'll leave ready to act, with:
- Data-driven insights on current student and faculty AI usage patterns
- A customizable AI training framework and course policy language
- Assessment design strategies proven to reduce unauthorized AI use
Can't attend the webinar? You should still register -- all registrants, including attendees and absentees, will receive a recording of the webinar and a copy of the presentation slides.
Additional resources:
- “AI-Enhanced Feedback Loops” (Canvas Commons)
- “AI-Enhanced Feedback Loops” (Google Docs) | Same resource as above. For those who can't access Canvas Commons
- “Proctored Essays & Written Assignments” (Honorlock) | Article that provides some research insights on detection tools, located in the gray box near the beginning of the article
- “AI Training, Policy, and Tools for Higher Ed" (Honorlock) | AI training guide that provides templated resources
