TY - CHAP A1 - Prather, James A1 - Leinonen, Juho A1 - Kiesler, Natalie A1 - Benario, Jamie Gorson A1 - Lau, Sam A1 - MacNeil, Stephen A1 - Norouzi, Narges A1 - Opel, Simone A1 - Pettit, Virginia A1 - Porter, Leo A1 - Reeves, Brent N. A1 - Savelka, Jaromir A1 - Smith, David H. A1 - Strickroth, Sven A1 - Zingaro, Daniel T1 - How Instructors Incorporate Generative AI into Teaching Computing T2 - Proceedings of the 2024 on Innovation and Technology in Computer Science Education Vol. 2 N2 - Generative AI (GenAI) has seen great advancements in the past two years and the conversation around adoption is increasing. Widely available GenAI tools are disrupting classroom practices as they can write and explain code with minimal student prompting. While most acknowledge that there is no way to stop students from using such tools, a consensus has yet to form on how students should use them if they choose to do so. At the same time, researchers have begun to introduce new pedagogical tools that integrate GenAI into computing curricula. These new tools offer students personalized help or attempt to teach prompting skills without undercutting code comprehension. This working group aims to detail the current landscape of education-focused GenAI tools and teaching approaches, present gaps where new tools or approaches could appear, identify good practice-examples, and provide a guide for instructors to utilize GenAI as they continue to adapt to this new era. Y1 - 2024 U6 - https://doi.org/10.1145/3649405.3659534 SP - 771 EP - 772 PB - ACM CY - New York, NY, USA ER -