Committed to STRIVE: Leveraging AI for Microteaching and Active Learning Engagement
Alternative Title
Committed to STRIVE: Leveraging Artificial Intelligence (AI) for Microteaching and Active Learning Engagement
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 (2023 : Orlando, Fla.)
Location
Cape Florida B
Start Date
25-9-2023 1:30 PM
End Date
25-9-2023 1:45 PM
Publisher
University of Central Florida Libraries
Keywords:
Microteaching; Active learning; AI framework; Student engagement; Discipline-specific strategies
Subjects
Artificial intelligence--Educational applications; Active learning; Microteaching; Teaching--Computer-assisted instruction; Artificial intelligence--Study and teaching
Description
Artificial Intelligence AI can offer different approaches depending on the end user’s needs. One such approach is a framework that adapts to user needs across disciplines. This lightning session utilizes the STRIVE (Search, Teach, Review, Innovate, Vary, Evaluate) framework to encourage AI use for micro-teaching and student engagement. In each facet of the frame, we will explore discipline-specific active learning strategies and micro-teaching opportunities using the affordances of the AI revolution and reflect on consistent implementation for positive results.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty, Educators, Instructional designers
Recommended Citation
Williams, Florence, "Committed to STRIVE: Leveraging AI for Microteaching and Active Learning Engagement" (2023). Teaching and Learning with AI Conference Presentations. 51.
https://stars.library.ucf.edu/teachwithai/2023/monday/51
Committed to STRIVE: Leveraging AI for Microteaching and Active Learning Engagement
Cape Florida B
Artificial Intelligence AI can offer different approaches depending on the end user’s needs. One such approach is a framework that adapts to user needs across disciplines. This lightning session utilizes the STRIVE (Search, Teach, Review, Innovate, Vary, Evaluate) framework to encourage AI use for micro-teaching and student engagement. In each facet of the frame, we will explore discipline-specific active learning strategies and micro-teaching opportunities using the affordances of the AI revolution and reflect on consistent implementation for positive results.