Alternative Title

Teaching and Assessing Artificial Intelligence (AI)-enhanced Courses: An Institutional Initiative

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 (2025 : Orlando, Fla.)

Location

Seminole D

Start Date

29-5-2025 10:15 AM

End Date

29-5-2025 10:40 AM

Publisher

University of Central Florida Libraries

Keywords:

AI integration; Course redesign; Personalized learning; Instructional strategies; Educational technology

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Computer-assisted instruction--Design; Teaching--Computer-assisted instruction; Education, Higher--Computer-assisted instruction

Description

The OHIO Center for Teaching, Learning, and Assessment supports faculty redesigning courses with AI enhancements through a GenAI in Teaching and Learning Design Institute. Participants infuse GenAI into their courses following one of three pathways or a combination of these pathways: 1) AI as instructional strategy; 2) AI to personalize learning; and 3) AI as course content from a disciplinary lens. Redesign results in a robust instructional redesign portfolio upon implementation and assessment. Session participants are invited to envision their own use cases as the three models are presented by institute faculty in person and through multimedia.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty; Students

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May 29th, 10:15 AM May 29th, 10:40 AM

Teaching and Assessing AI-enhanced Courses: An Institutional Initiative

Seminole D

The OHIO Center for Teaching, Learning, and Assessment supports faculty redesigning courses with AI enhancements through a GenAI in Teaching and Learning Design Institute. Participants infuse GenAI into their courses following one of three pathways or a combination of these pathways: 1) AI as instructional strategy; 2) AI to personalize learning; and 3) AI as course content from a disciplinary lens. Redesign results in a robust instructional redesign portfolio upon implementation and assessment. Session participants are invited to envision their own use cases as the three models are presented by institute faculty in person and through multimedia.

Accessibility Statement

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