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AI and Academic Integrity Online

As AI tools continue to shape higher education, faculty are navigating new questions about academic integrity, course design, and institutional processes. This session combines practical teaching strategies with guidance from the Director of Student Conduct Christopher Trautman on navigating AI-related academic integrity concerns. Participants will explore strategies for designing assessments that support authentic learning, responding to cheating, and gain a clearer understanding of campus procedures and available resources.

Seats filled up? Join us for the next installment in November! https://montclair-faculty-excellence.libcal.com/event/17482661 

Date:
Tuesday, October 6, 2026
Time:
10:00am - 11:00am
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event. Event URL will be sent via registration email.
Audience:
  Faculty     Instructors  
Categories:
  Generative AI     Teaching Faculty  
Registration has closed.

Organizer(s)

Profile photo of Christopher Trautman
Christopher Trautman

Christopher Trautman is thrilled to come back to Montclair as the Director of Student Conduct, after previously working in Residence Life while earning his MA in Higher Education Leadership at the University from 2015-2017. Prior to joining Montclair, Chris served as the Associate Director for Educational Initiatives and Assessment in Residential Education at The College of New Jersey, where he oversaw the advancement of the department's residential curriculum and helped lead various assessment projects to demonstrate student learning and improve the student experience.

 

Chris has also taught several courses at the college level, including a first-year student writing class at TCNJ and a first-year student transition to college seminar at Fairleigh Dickinson University. When not at work, Chris loves to attend theater productions, watch movies, and listen to podcasts. 

Profile photo of Vera Senina
Vera Senina

Dr. Vera Senina is a cross-disciplinary teacher and scholar in the humanities, critical theory, medical narratives, and computational linguistics. Vera has experience teaching in diverse modalities, designing innovative student-centered courses, and organizing conference panels and workshops on inclusive curriculum development, assessment strategies, and project-based learning. She also has top-company industry experience in language AI, team development, and project management.

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