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Academic Integrity

Explore instructor guidelines for details about Laurier's policies and procedures for engaging with generative AI tools, including academic misconduct guidelines. Find generative AI guidelines for students.

Panel Discussion on Academic Integrity and Generative AI Use

This recorded panel discussion provides insights into how instructors might consciously design courses to take generative AI use into consideration; updates on university guidelines surrounding generative AI; and examples of how faculty are using generative AI in their courses to demonstrate its potential and weaknesses. Find strategies for talking to students about generative AI and designing assessments that keep academic integrity at their core. Highlights include:


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Communicating with Your Students 

As a course instructor, you will need to clearly state within your course outline if and how students can use generative AI in your course. We have developed three sample course outline statements, but for courses where you permit some level of generative AI use, you will need to define the parameters of use. For example, some instructors may allow their students to use generative AI tools for finding general information about the topic but require students to write the assessment on their own. Other instructors may allow students to use generative AI only for editing their completed work. Laurier has example statements for students to acknowledge the use of generative AI in their work. 

In order to support students in understanding and navigating academic integrity while at the same time harnessing potentially productive and ethical engagement with generative AI tools in courses, the following should be clearly defined for students

  • a shared understanding of generative AI’s uses and limitations as a tool for scholarship;

  • articulating appropriate uses of generative AI in course activities and assessments; 

  • defining how students should cite generative AI when it is used;

  • making students aware of privacy implications of how the data is collected and used.

Sound practices for encouraging students to engage productively and ethically with generative AI can include: 

  • beginning a dialogue about generative AI in the classroom and then open discussion boards to continue the conversation and provide a forum for questions. 

  • collaborating with your students to co-create a course policy on the use of generative AI, including how to cite generative AI if it is used in the course. Learn more about class contracts in this guide. 

  • using in-class activities to model productive engagement with generative AI and address questions related to attributions, citations, and authorship. The next section provides ideas for ways to adapt activities and assessments to maximize ethical engagement with AI.

Academic Integrity: A Three-Pronged Approach

Lisa Kuron from Laurier's Leadership program discusses how fostering a climate of trust and respect, encouraging self-reliance, and adapting assessment designs to reflect critical thinking and personal engagement can mitigate some of the challenges posed by generative AI. She highlights the importance of teaching about the limitations of AI, using generative AI as an educational tool to demonstrate its biases and limitations, and encouraging students to rely more on their knowledge and skills. 

The next section outlines strategies to both mitigate and incorporate generative AI tools into teaching and learning activities.



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