Inspired by Chapter 2 of The Opposite of Cheating: Teaching for Integrity in the Age of AI by Tricia Bertram Gallant and David Rettinger Academic integrity is not a checklist or compliance form. It is a living culture shaped by what we model, how we design, and the conversations we hold with our students. Gallant… Read more »
Policies
UPDATED: Navigating Attendance Challenges in the Modern Classroom: Practical Tips for Faculty
Building a Framework for Academia-Industry Partnerships and AI Teaching and Learning Podcasts
In March, I shared the an overview of the “Practitioner to Professor (P2P)‘ survey that the CRA-Education / CRA-Industry working group analyzed. They recently released a report titled Breadth of Practices in Academia-Industry Relationships which explores a range of engagement models from research partnerships and personnel exchanges to master agreements and regional innovation ecosystems. Key… Read more »
Resources for AI Syllabus Policy Statements
IU does not currently have any specific policies around the use of generative AI, other than policies related to data security and privacy. According to Teaching@IU: Microsoft Copilot is IU’s preferred generative AI service for faculty and staff. It can handle data up to University-Internal level. When using public tools, usage of data is more restrictive, even when… Read more »
Quick Tip – Syllabus Checklist/Sample Wording
A couple of weeks ago I shared resources on how to prepare to discuss difficult topics in class. Within that post was a link to a Google Doc from the University of California, Santa Barbara. This doc compiled sample language from syllabi collected from different courses (with faculty permission) . The policies addressed in this document include: Late work Participation Plagiarism… Read more »