Framing this Resource
In updating Academic Integrity Resource for Instructors, we’ve been guided by (1) new research and resources for teachers and students about their shared roles and responsibilities for learning ways to practice academic integrity, (2) the daily realities of researching, communicating, and building knowledge while balancing Generative AI’s benefits and cautions, and (3) four principles for Fostering Academic Integrity-Minded Learning Environments that we’ve kept in mind while updating this teaching resource:
- Make academic integrity relevant to students through authentic context discussions.
- Set clear expectations for academic integrity at course and assignment level.
- Emphasize process over product by explicitly modeling and teaching practices for ethical knowledge development.
- Design responses to academic misconduct that prompt growth and learning.
Creating an integrity-minded learning environment requires attending to two AIs - artificial intelligence and academic integrity in each section of this resource. A need highlighted in Wharton professor Ethan Mollick’s August 2024 blogpost Change Blindness that “illustrate(s) how far AI has come” since late 2022, and shares May 2024 survey results about the wide use of AI tools for incoming groups of college students, reporting that “about half of (secondary-level) teachers, students and parents are using AI chatbots at least once a week for work or school.”
Generative AI Quick Links
Each section of this web resource includes links to topic-specific generative AI resources. The following University resources update their quick guides regularly: