Faculty Development Menu 2026–27

OEET’s professional development team is here to help you design high-quality online courses, make the most of educational technology, and stay ahead of the curve with emerging tools like generative AI. Our AY 2026-2027 offerings are practical, timely, and ready to use in your courses right away. 

Fall 2026 Webinar Series

Session (full descriptions available when registering)	Date, Time, Registration Link
AI Syllabus Statements: Tips & Tools Intended audience: faculty, staff	August 20, 2026, 10:00 AM – 11:00 AM View the Resources from AI Syllabus Statements: Tips & Tools
Getting the Most Out of Gradebook Intended audience: faculty, staff	September 3, 2026, 11:30 AM – 12:30 PM
Up & Running with Panorama Intended audience: faculty, staff	September 17, 2026, 1:00 PM – 2:00 PM View the Recording for Up & Running with Panorama
LEAD: Conversations on AI and University Learning (Institutional Learning) Intended audience: faculty, staff	September 29, 2026, 1:00 PM – 2:00 PM View the Resources from LEAD: Conversations on AI and University Learning (Institutional Learning)
Leveraging Canvas Analytics for Success Intended audience: faculty, staff	October 1, 2026, 11:00 AM – 12:00 PM View the Resources from Leveraging Canvas Analytics for Success
The Good, the Bad, and the Bot: AI in Communication & Media (Student and Faculty Panel) Intended audience: students, faculty, staff Eligible for BCR credit	October 5, 2026, 12:00 PM – 1:00 PM
AI for the Job Search: Tools, Strategies, and Realistic Expectations (CaPS + OEET) Intended audience: students, faculty, staff	October 8, 2026, 2:00 PM – 3:00 PM
Generating Individualized Learning with Google Gemini in Canvas Intended audience: faculty, staff	October 9, 2026, 11:00 AM – 12:00 PM
Beyond the AI Add-On: Using SAMR to Rethink Teaching and Learning Intended audience: faculty, staff	October 15, 2026, 12:00 PM – 1:00 PM
Digital Accessibility: PPT and DOC Design Intended audience: students, faculty, staff	October 22, 2026, 1:00 PM – 2:00 PM Register for Digital Accessibility: PPT and DOC Design
LEAD: Conversations on AI and University Learning (Disciplinary Inquiry) Intended audience: faculty, staff	November 6, 2026, 2:00 PM – 3:00 PM Register for LEAD: Conversations on AI and University Learning (Disciplinary Inquiry)
SWOTing AI: Strengths, Weaknesses, Opportunities, and Threats in Business (Student and Faculty Panel) Intended audience: students, faculty, staff Eligible for BCR credit	November 6, 2026, 11:00 AM – 12:00 PM Register for SWOTing AI: Strengths, Weaknesses, Opportunities, and Threats in Business (Student and Faculty Panel)
Teaching-as-Research: Foundations Intended audience: faculty, staff	December 2, 2026, 12:00 PM – 1:00 PM Register for Teaching-as-Research: Foundations

Spring 2027 Webinar Sessions 

Session (full descriptions available when registering)	Date, Time, Registration Link
Spring Course Design Refresh: SAMR & TPACK Quick-Start Intended audience: faculty, staff	January 14, 2027, 1:00 PM – 2:00 PM Register for Spring Course Design Refresh: SAMR & TPACK Quick-Start
LEAD: Conversations on AI and University Learning (Liberal Learning) Intended audience: faculty, staff	January 28, 2027, 12:00 PM – 1:00 PM Register for LEAD: Conversations on AI and University Learning (Liberal Learning)
Critical Intelligence: AI Across the Liberal Arts & Sciences (Student and Faculty Panel) Intended audience: students, faculty, staff Eligible for BCR credit	February 24, 2027, 12:00 PM – 1:00 PM Register for Critical Intelligence: AI Across the Liberal Arts & Sciences (Student and Faculty Panel)
LEAD: Conversations on AI and University Learning (Knowledge Creation) Intended audience: faculty, staff	March 25, 2027, 12:00 PM – 1:00 PM Register for LEAD: Conversations on AI and University Learning (Knowledge Creation)
Accessibility: Highest-Impact Starting Points for Your Course Intended audience: students, faculty, staff	March 30, 2027, 12:00 PM – 1:00 PM Register for Accessibility: Highest-Impact Starting Points for Your Course
Artificial vs. Authentic: AI, Assistive Tech, and Access in Teaching & Learning (Student and Faculty Panel) Intended audience: students, faculty, staff Eligible for BCR credit	April 7, 2027, 12:00 PM – 1:00 PM Register for Artificial vs. Authentic: AI, Assistive Tech, and Access in Teaching & Learning (Student and Faculty Panel)
LEAD: Conversations on AI and University Learning (Experiential Learning) Intended audience: faculty, staff	April 22, 2027, 12:00 PM – 1:00 PM Register for LEAD: Conversations on AI and University Learning (Experiential Learning)

Additional Training

Navigate to the Training page to watch prior training recordings, enroll in a self-paced course, register for upcoming live vendor trainings, and more.