From Theory to Practice: AI-Powered Active Learning with Top Hat

Alternative Title

From Theory to Practice: Artificial Intelligence (AI)-Powered Active Learning with Top Hat

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2024 : Orlando, Fla.)

Location

Gold Coast I-II

Start Date

22-7-2024 4:00 PM

End Date

22-7-2024 4:30 PM

Publisher

University of Central Florida Libraries

Keywords:

AI in education; Active learning techniques; Evidence-based teaching; Faculty training; Educational technology

Subjects

Artificial intelligence--Educational applications; Active learning; Artificial intelligence--Study and teaching; Educational technology--Study and teaching (Higher); Teaching--Practice

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.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Instructional designers

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Jul 22nd, 4:00 PM Jul 22nd, 4:30 PM

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.