Graduate Studies and Postdoctoral Affairs (GSPA) announced the launch of new guidance on the use of Generative Artificial Intelligence (GenAI) for graduate students and supervisors. It covers best practices for GenAI use across graduate coursework, research proposals, thesis writing, and other academic milestones.
Wednesday, October 16th is the International Day of Action for Academic Integrity!
UWaterloo students can participate by entering the IDoA Student Social Media contest. Winners will receive gift cards of up to $150 (USD) and their posts will be displayed on the IDoA 2024 site. Deadline to enter is Wed Oct. 16th, 11:59 PM EDT.
https://mailchi.mp/academicintegrity.org/its-nearly-time-for-the-international-day-of-action-5869381
Amanda McKenzie from the University of Waterloo wrote this week's ICAI Integrity Matters blog post, #Makeitsomeonesjob - Building an Academic Integrity Office.
The Generative Artificial Intelligence Overview aims to provide readers with a foundational understanding of GenAI from a University of Waterloo perspective. These slides can be incorporated into LEARN courses or class instruction.
Generative artificial intelligence (GenAI) is a black box to most of us. Since November 2022 it has been making headlines and challenging instructors and students to consider how it can be used in academia and when it’s appropriate.
While people would like a hard and fast rule to attach to the use of GenAI – this is easier said than done. Making a strict rule can be detrimental, especially when this technology is evolving so quickly.
For students and instructors who are wondering where the line should be drawn for using GenAI in the completion of assessments, the answer is simple. Assessments must be, and have always been required to be, the students own work.
Check out the full piece: Wrestling with a giant: how GenAI is impacting academia at Waterloo in the Daily Bulletin to review what is your own work and how to use GenAI ethically.
An overview for University of Waterloo instructors on considerations for generative artificial intelligence in teaching and learning. Includes recommendations instructors may wish to implement in their teaching practice.
Academic Integrity 101 is a set of modules for undergraduate students that provides information about academic expectations at the University of Waterloo and highlights ways to maintain academic integrity. The four modules include topics such as citation and paraphrasing practice, strategies to avoid academic misconduct, and exploring campus support services. Enrollment in Academic Integrity 101 is voluntary; however, instructors may recommend the workshop to students who require guidance in this area.
Amanda McKenzie, Director, Office of Academic Integrity, University of Waterloo, recently co-authored a chapter published in the Handbook of Academic Integrity.