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Academic Integrity: Learn to Stop Worrying About It! Online

Presenter: Sophie Bury and Angela Clark

In this interactive workshop, you will learn what academic integrity is at York and how to demonstrate it. Through scenarios and discussion, you will explore common academic integrity challenges, learn how to make informed choices about sources, collaboration, and generative AI, and discover where to find support when expectations are unclear. The workshop will also help build your confidence with using and citing sources. Citation is about more than formatting references correctly; it is a way of participating in scholarly conversations, acknowledging the contributions of others, and demonstrating your own learning. Throughout the workshop, we will examine current, scenario-based examples, including situations involving generative AI. Together, we will explore how assignment expectations, responsible decision-making, and academic integrity are connected, while providing a safe space to ask questions and learn from other students' perspectives.

In this workshop, attendees can expect to:

  • experience an interactive, scenario-based workshop;
  • learn how academic integrity supports learning and why it matters;
  • explore common academic integrity challenges, including issues involving collaboration, sources, and generative AI; (bullet four) learn the fundamentals of citation and discover key library resources for ongoing support
Date:
Tuesday, September 15, 2026
Time:
12:00pm - 1:30pm
Time Zone:
Eastern Time - US & Canada (change)
Audience:
  Graduate Students     Undergraduate Students  
Categories:
  Academic Integrity     Research Skills  
Online:
This is an online event. Event URL will be sent via registration email.
Registration has closed.

In this workshop attendees can expect to: 

  • experience an interactive, scenario-based workshop,
  • learn how academic integrity supports learning and why it matters
  • explore common academic integrity challenges, including issues involving collaboration, sources, and generative AI, (bullet four) learn the fundamentals of citation and discover key library resources for ongoing support

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