As generative AI changes what students can produce and how they engage with learning, it invites us to reconsider what meaningful assessment looks like. This seven-part webinar series explores how AI is challenging long-standing assessment practices while opening new possibilities for making student thinking visible, emphasizing process, cultivating curiosity, and creating authentic learning experiences. [...]

As generative AI changes what students can produce and how they engage with learning, it invites us to reconsider what meaningful assessment looks like. This seven-part webinar series explores how AI is challenging long-standing assessment practices while opening new possibilities for making student thinking visible, emphasizing process, cultivating curiosity, and creating authentic learning experiences. [...]

As generative AI changes what students can produce and how they engage with learning, it invites us to reconsider what meaningful assessment looks like. This seven-part webinar series explores how AI is challenging long-standing assessment practices while opening new possibilities for making student thinking visible, emphasizing process, cultivating curiosity, and creating authentic learning experiences. [...]

As generative AI changes what students can produce and how they engage with learning, it invites us to reconsider what meaningful assessment looks like. This seven-part webinar series explores how AI is challenging long-standing assessment practices while opening new possibilities for making student thinking visible, emphasizing process, cultivating curiosity, and creating authentic learning experiences. [...]

About Today's Session To meet a teaching and learning landscape reshaped by generative AI, educators need a strong understanding of the outcomes they are trying to assess and why. This opening session introduces UT Austin's working definition of responsible AI use for education, one centered on learning outcomes and human development rather than the [...]