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Adapting Without Surrendering: Assignments That Work in the AI Era
One-line summary
An AI research paper on Adapting Without Surrendering: Assignments That Work in the AI Era.
Engineering notes
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
Somewhere between overhead projectors and generative AI, I’ve spent 18 years at Harding helping students learn how to think—now I’m figuring out how to do that with tools that can think with them. As a mid-career professor (experienced enough to know better, curious enough to keep trying), this presentation will discuss my efforts to re-design an undergraduate course assignment to be AI-friendly, teaching students to leverage this technology to support their learning. With skepticism and optimism, I'll share the nuts and bolts of my flipped assignment, what my students thought about it, and what I'll do different next time. If you're looking for an expert in AI, this session is not for you. If you're also an AI-beginner trying to figure out how to remain relevant and keep teaching students how to think for themselves, come on in and we'll talk together.
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