Communicating with Learners

Talking with students about academic integrity involves demystifying - making explicit - our expectations regarding purposes and practices of integrity related to (1) What constitutes originality, (2) how students will be expected to maintain integrity in completing coursework, and (3) where they’ll find specific information about integrity expectations within stand-alone descriptions of assignments and examinations. This page offers links to resources for each of these considerations, and opens with a few words from students:

UMN Students Share: Why is Academic Integrity Important?

Communicating Support

Learners working with Disability Resource Centers and their access consultants will work directly with faculty in setting up official accommodations that may draw on uses of assistive technologies that cluster under the Generative AI umbrella. It is also common for a broad range of learners to use a variety of technology-mediated tools as accessibility supports while learning course content and completing course work. 

Communicating about Originality

What constitutes originality for you and within your field? Consider the diverse audiences that you communicate with?

Communication about Integrity Policies and Practices

How might you embed policy and practices regarding academic integrity in the syllabus narrative you compose, keeping in mind that learners new to you, your course, and your field are the primary audience for this document?

  • Drawing from a selection of learning-centered syllabuses recently composed UMN faculty, and one Canvas site example addressing contract cheating, this Syllabus Statements and Course Site Language document is meant to serve as a springboard for thinking about ways to tailor integrity-related language to your own course.
  • AI in the Syllabus” provides three examples to what the writer calls “the challenge” instructors face in creating syllabus policies even as tools and access change.
  • A crowdsourced “Syllabi Policies for Generative AI” spreadsheet can be overwhelming, so we suggest starting with Daniel Stanford’s “The Best AI Syllabus Policies I've Seen So Far” that distills key characteristics in three examples - one open use, one moderate use, and one don’t use.
  • Interested in co-creating AI academic policies with your students - at course and assignment level? This Google document combination offers a glimpse into that process.
  • Do you use exam proctoring tools for high-stakes exams? See Privacy in Video Proctoring Guidelines and share this information with students. 

Communicating about Using AI in Course Assignments 

Where might you outline integrity expectations within descriptions of assignment purposes, tasks, and skills, and in setting out your expectations regarding exam preparation and completion processes?

  • In Reference, Appropriation, or Plagiarism (PDF), Heather Layton (University of Rochester) combines narrative and examples to distinguish among these three field specific practices for her “Introduction to Painting” students.
  • The Transparency Framework resource offers short videos, examples of revised assignments, and a template for setting out an assignment's core purpose in learning; criteria, tasks, and skills to be assessed; and main audience for that specific assignment.
  • With an awareness of how to effectively Prepare Students for Assessments and Reduce Anxiety we can, as instructors, also work to enhance academic integrity.
  • Online Assessments and e-Proctoring resource documents are curated to support faculty in building exam questions and exam settings that foster student learning.