April 9, 2025 - 12:00-1:00 PM
Location: This is an online event. Register to receive the Zoom link and calendar invitation.
Intended Audience: Academic Support Staff, Faculty, Graduate Student Instructors, Instructors
As more students engage with Generative AI (GenAI) in their day-to-day lives, how can we rethink our classroom assignments to still encourage meaningful learning? Join us for an informal journal (book) club to learn more about current thinking in how GenAI may impact the way we engage and assess students in our courses. This conversation will explore the Bowen and Watson 2024 bookTeaching with AI: A Practical Guide to a New Era of Human Learning. We will focus on Chapter 10: Designing Assignments and Assessments for Human Effort, and discuss the authors’ proposed strategies for revising student assignments to account for GenAI. In so doing, we invite participants to share their own ideas for GenAI usage in their classroom.
At the end of this session, you will:
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Investigate the prevalence and impact of GenAI in student learning
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Discuss how GenAI is changing the way we think about course assignments, including issues around policies and grading
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Examine the importance of intrinsic motivation and classroom environment in leading students to productive and unproductive uses of GenAI
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Identify strategies to encourage students to demonstrate the human component of their learning through process-based assignments
Participants are encouraged, but not required to review the selected book chapter before this session. All members of the UC Berkeley community are able to access this book for free via the Libraries as either a digital PDF or an audiobook
This journal club will run for 60 minutes. Participants are invited to BYO lunch during this informal conversation.
➡️Register for this event here!⬅️
Registrants will be sent a Zoom link and bCal invite as the workshop date draws near.
***Registration for this session will close one hour before the session***
This event is part of the "Navigating Gen AI: Implications for Teaching and Learning" learning path. Be sure to check out this learning path and explore its other components!
Facilitator:
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Dr. Melissa E. Ko is the Assessment & Curriculum Design Specialist at the Center for Teaching & Learning . Dr. Ko was trained as a computational cancer biologist having received her SB from MIT and her PhD from Stanford University. She pivoted into an education-focused career through several teaching roles at Stanford and other local institutions, before focusing on partnering with instructors to provide effective and inclusive learning experiences informed by data. |