CEITL&DE TRAINING SCHEDULE
All training sessions will be held online, via Zoom unless otherwise noted. Please use the session links below to register, if applicable. When registering for sessions please do not include @nation in your email address.
NOVEMBER
Canvas Advanced: Assignments and Discussions– Wednesday, November 1- 2:00 PM- Register in advance for this training.
QOT 1: Canvas Fundamentals- Thursday, November 2- 2:00 PM- Register in advance for this training.
IN PERSON- AI’s Impact on Learning: A Balanced Discussion Moderated by Dr. Selden– Tuesday, November 7- 3:00 PM- Capers Auditorium
QOT 2: Best Practices in Teaching Online- Tuesday, November 8- 2:00 PM- Register in advance for this training.
*NEW TRAINING SESSION* Adapting Classes and Assignments for the AI Era- Thursday, November 9- 2:00 PM- Register in advance for this training.
IN PERSON- Faculty 101: New Faculty Training– Tuesday, November 14- 12:15 PM- Bond Hall 295
*NEW TRAINING SESSION* Spring Semester Syllabus Prep– Tuesday, November 14- 2:00 PM- Register in advance for this training.
QOT 3: Best Practices in Curriculum Mapping- Wednesday, November 15- 1:00 PM- Register in advance for this training.
Turnitin: Originality Checker and AI Detector- Tuesday, November 28- 12:30 PM- Register in advance for this training.
Canvas Advanced: Studio– Wednesday, November 29- 2:00 PM- Register in advance for this training.
QOT 4: Best Practices in Assessments and Grading- Thursday, November 30- 2:00 PM- Register in advance for this training.
DECEMBER
QOT 1: Canvas Fundamentals- Friday, December 1- 1:00 PM- Register in advance for this training.
*NEW TRAINING SESSION* Adapting Classes and Assignments for the AI Era- Monday, December 4- 12:30 PM- Register in advance for this training.
IN PERSON- Faculty 101: New Faculty Training– Tuesday, December 5- 12:15 PM- Bond Hall 295
Respondus Lockdown Browser and Monitor- Tuesday, December 5- 2:00 PM- Register in advance for this training.
QOT 4: Best Practices in Assessments and Grading- Thursday, December 7- 1:00 PM- Register in advance for this training.