Building AI-Resilient Academic Courses: Supporting Faculty to Preserve Pedagogy

Susan Codone, Mercer University

Alternative Title

Building Artificial Intelligence (AI)-Resilient Academic Courses: Supporting Faculty to Preserve Pedagogy

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

Key West B

Start Date

25-9-2023 1:30 PM

End Date

25-9-2023 2:00 PM

Publisher

University of Central Florida Libraries

Keywords:

Pedagogy; Faculty training; Course design; Assessment strategies; AI tools

Subjects

Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; College teaching--Methodology; Computer-assisted instruction--Planning; Teaching--Computer-assisted instruction

Description

An AI-resilient course remains authentic to its objectives whether students or faculty members use AI or not and deploys authentic instruction and assessment that are not compromised by use of AI. Building upon a semester of leading Provost-mandated faculty training on AI awareness, this interactive session will use case scenarios in course design to discuss methods for preserving pedagogy and adapting assessments to maintain resilience regardless of student use of AI tools. Through interaction, participants will leave with a plan to help faculty members mitigate bias while offering them strategies to adapt to AI availability and preserve their pedagogical methods.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Instructional designers, Administrators

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Sep 25th, 1:30 PM Sep 25th, 2:00 PM

Building AI-Resilient Academic Courses: Supporting Faculty to Preserve Pedagogy

Key West B

An AI-resilient course remains authentic to its objectives whether students or faculty members use AI or not and deploys authentic instruction and assessment that are not compromised by use of AI. Building upon a semester of leading Provost-mandated faculty training on AI awareness, this interactive session will use case scenarios in course design to discuss methods for preserving pedagogy and adapting assessments to maintain resilience regardless of student use of AI tools. Through interaction, participants will leave with a plan to help faculty members mitigate bias while offering them strategies to adapt to AI availability and preserve their pedagogical methods.