Sustainable case studies in the age of AI: Creating a sharable resource list towards keeping student active, engaged and learning!
Session Type
Workshop
Room
Physics and Astronomy, room 150
Start Date
17-7-2025 3:00 PM
End Date
17-7-2025 4:00 PM
Keywords
case studies, generative AI, group work, engagement, classroom, critical thinking
Primary Threads
Teaching and Learning Science
Abstract
Generative artificial intelligence (GenAI) is increasingly used by students to complete coursework in and out of the classroom. While its sanctioned use is dictated by instructors and/or their institutions, its use has ongoing impacts on the learning activities we develop and the way we assess student learning, as some studies suggest its use can promote cognitive off-loading and more shallow learning. Case studies are effective teaching and learning tools meant to build knowledge through step-wise exploration of a problem or scenario. They often include prompts for students to investigate a subject further through research, either through materials provided to them, or by seeking answers through other means, such as online searches. With the introduction of GenAI, finding the answers to prompt questions is easier than ever and can diminish the effectiveness of using case studies as a teaching and learning strategy. This workshop will briefly summarize one instructor’s challenges with using case studies in the age of AI, followed by facilitated discussion and group-based brainstorming on how we as science instructors can continue to keep students active, engaged and learning through case studies even with GenAI at everyone’s fingertips. The final workshop product will be a list of ideas, advice and resources that can be leveraged in future case study development. This workshop may be of interest to educators who use case studies, scenarios or other critical thinking activities in their classes that rely on access to digital resources as a part of the learning process. A device (smartphone/laptop/tablet) is recommended to engage in the workshop activities.
Elements of Engagement
Breakout groups (online and in person) to brainstorm ideas on ways to circumvent GenAI use in case studies and ways that GenAI can be incorporated into case studies, audience polling (Mentimeter), completing a sharable resource list in Google Docs
Sustainable case studies in the age of AI: Creating a sharable resource list towards keeping student active, engaged and learning!
Physics and Astronomy, room 150
Generative artificial intelligence (GenAI) is increasingly used by students to complete coursework in and out of the classroom. While its sanctioned use is dictated by instructors and/or their institutions, its use has ongoing impacts on the learning activities we develop and the way we assess student learning, as some studies suggest its use can promote cognitive off-loading and more shallow learning. Case studies are effective teaching and learning tools meant to build knowledge through step-wise exploration of a problem or scenario. They often include prompts for students to investigate a subject further through research, either through materials provided to them, or by seeking answers through other means, such as online searches. With the introduction of GenAI, finding the answers to prompt questions is easier than ever and can diminish the effectiveness of using case studies as a teaching and learning strategy. This workshop will briefly summarize one instructor’s challenges with using case studies in the age of AI, followed by facilitated discussion and group-based brainstorming on how we as science instructors can continue to keep students active, engaged and learning through case studies even with GenAI at everyone’s fingertips. The final workshop product will be a list of ideas, advice and resources that can be leveraged in future case study development. This workshop may be of interest to educators who use case studies, scenarios or other critical thinking activities in their classes that rely on access to digital resources as a part of the learning process. A device (smartphone/laptop/tablet) is recommended to engage in the workshop activities.