Liz Karns, Provost Fellow, has developed a new Canvas course module, available through Canvas Commons, as a resource designed to encourage students to reflect on their personal values and learning goals within the context of your course. 

To access the module, please follow these instructions and search for "Academic Values and Integrity Module". 

The module takes a developmental approach to academic integrity, focusing on authentic learning, core values, and ethical academic practices. We hope this resource supports your efforts to foster meaningful conversations about academic integrity in your classroom.

Every course is different with respect to the content, assignments and expectations, therefore students should be encouraged to think about how academic integrity applies to each specific course by going through the exercises.

In the module, students are given a brief reminder about academic integrity more broadly and then they work with your course material to identify their own learning goals and values. They’re then encouraged to critically examine your course syllabus and assignments, to anticipate potential challenges they may face. As a final step, students create a personalized plan to address these concerns.  

Importantly, the module is designed to be completed before their first major course assessment—whether it’s an essay, prelim, or project—providing a strong awareness of academic integrity from the outset. Student responses can give instructors valuable insights into the obstacles they anticipate and the strategies they plan to implement, which in turn helps to foster a proactive approach to successful and ethical learning.

Instructor Role 

To make this resource effective, instructors will need to customize the module to fit a specific course. This includes referencing relevant course deadlines, linking to specific materials and assignments aligned with your teaching goals. Make sure to include a statement on the use of generative AI and related tools for each assessment in your course.

To think more about this module in the context of generative AI, visit AI & Academic Integrity. 

Features to Note

• Adaptable Content: Topics and prompts that can be tailored to fit your course objectives. Add content that makes sense for your course and your specific style of teaching.
• Flexible Assignments: No preset point values—how you choose to grade your assignments is entirely up to you. You can look over the responses and consider incorporating them into your next lecture.
• Early Implementation: Intended to be used before the first major essay, test, or project deadline, ensuring students engage with the material at a meaningful time.