From Theory to Practice: AI-Powered Active Learning with Top Hat
Location
Gold Coast I-II
Start Date
22-7-2024 4:00 PM
End Date
22-7-2024 4:30 PM
Description
Evidence-based teaching practices like frequent, low stakes assessment have been widely praised for improving academic outcomes, fostering belonging, and reducing achievement gaps for historically underrepresented students. Yet a variety of issues have meant that adoption of these practices is more of an exception than the rule. In this session you’ll learn how Top Hat is harnessing AI to bridge the gap between theory and practice by making it faster and simpler for faculty to implement active learning techniques based on the context of their course content. You’ll also learn how the Center for Instructional Technology at Louisiana Tech is harnessing these advances to scale sustainable, high-impact teaching practices across faculty and students.
Recommended Citation
Sivils-Sawyer, Whitney and Cohen, Bradley, "From Theory to Practice: AI-Powered Active Learning with Top Hat" (2024). Teaching and Learning with AI Conference Presentations. 55.
https://stars.library.ucf.edu/teachwithai/2024/monday/55
From Theory to Practice: AI-Powered Active Learning with Top Hat
Gold Coast I-II
Evidence-based teaching practices like frequent, low stakes assessment have been widely praised for improving academic outcomes, fostering belonging, and reducing achievement gaps for historically underrepresented students. Yet a variety of issues have meant that adoption of these practices is more of an exception than the rule. In this session you’ll learn how Top Hat is harnessing AI to bridge the gap between theory and practice by making it faster and simpler for faculty to implement active learning techniques based on the context of their course content. You’ll also learn how the Center for Instructional Technology at Louisiana Tech is harnessing these advances to scale sustainable, high-impact teaching practices across faculty and students.