A Different Way to Think About AI and Assessment, with Danny Liu
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Today on episode number 584 of the Teaching in Higher Ed podcast, Why Traffic Lights Don't Work for AI Assessment and What to Do instead with Danny Liu. Produced by Innovate Learning, Maximizing Human Potential. Welcome to this episode of Teaching in Higher Ed. I'm Bonnie Stahoviak and this is the space where we explore the art and science of being more effective at facilitating learning. We also share ways to improve our productivity approaches so we can have more peace in our lives and be even.
more present for our students. I'm thrilled to be welcoming to the show Danny Liu, who was introduced to me by Jason Lodge. Danny Liu is a professor of educational technologies at the University of Sydney, and he joins me today to talk about what it means to to trust students in the age of artificial intelligence. You are going to hear about metaphors that we are going to extend the heck out of, but have a lot of fun doing it, including the metaphor of a Disney cruise.
So get ready to travel with us today and hear about how we might rethink traffic lights as a means for assessing and and setting some parameters around artificial instead and instead use a menu framework, which Danny's going to share with us today. We're going to talk about what AI can and can't do for learning and the real danger of corroded trust between students and professors and how much we need to think about creating secure and open assessments that prepare students for real world challenges. Whether you're grappling with ChatGPT in your own teaching or looking to foster student agency in new ways, this episode offers a refreshing, practical, and as you'll hear, deeply human perspective.
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