This program is tentative and subject to change.
Since the release of ChatGPT in 2022, Generative AI (GenAI) is increasingly being used in higher education computing classrooms across the U.S. While we have some sense of the response from schools in the form of broad guidance to instructors, we do not know what policies and practices instructors are textit{actually} adopting and how they are being communicated to students through course syllabi. To study instructors’ policy guidance, we collected 98 computing course syllabi from 54 R1 institutions in the U.S. and studied the GenAI policies they adopted and the surrounding discourse. Our analysis shows that 1) most instructions related to GenAI use were as part of the academic integrity policy for the course and 2) most syllabi prohibited or restricted GenAI use, often warning students about the broader implications of using GenAI—e.g., lack of veracity, privacy risks, and hindering learning. Beyond this, there was wide variation in how instructors approached GenAI including a focus on how to cite GenAI use, conceptualizing GenAI as an assistant, often in an anthropomorphic manner, and mentioning specific GenAI tools for use. We discuss the implications of our findings and conclude with current best practices for instructors.
This program is tentative and subject to change.
Thu 27 FebDisplayed time zone: Eastern Time (US & Canada) change
13:45 - 15:00 | |||
13:45 18mTalk | AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce Papers Jaromir Savelka Carnegie Mellon University, Can Kultur Carnegie Mellon University, Arav Agarwal Carnegie Mellon University, Christopher Bogart Carnegie Mellon University, Heather Burte Carnegie Mellon University, Adam Zhang Carnegie Mellon University, Majd Sakr Carnegie Mellon University | ||
14:03 18mTalk | Analysis of Generative AI Policies in Computing Course Syllabi Papers Areej Ali George Mason University, Aayushi Hingle George Mason University, Umama Dewan George Mason University, Nora McDonald George Mason University, Aditya Johri George Mason University, USA | ||
14:22 18mTalk | Does Reducing Curricular Complexity Impact Student Success in Computer Science? Papers Sumukhi Ganesan Khoury College of Computer Sciences, Albert Lionelle Khoury College of Computer Sciences, Northeastern University, Catherine Gill Northeastern University, Carla Brodley Northeastern University, Center for Inclusive Computing | ||
14:41 18mTalk | Moving What's in the CS Curriculum Forward: A Proposition to Address Ten Wicked Curricular Issues Papers |