Augmenting Instructional Design: A Frontline View of Generative AI’s Transformative Role

Laura McNeill, University of Alabama

Alternative Title

Augmenting Instructional Design: A Frontline View of Generative Artificial Intelligence (GenAI)’s Transformative Role

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

Space Coast

Start Date

23-7-2024 1:30 PM

End Date

23-7-2024 2:00 PM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Instructional design; AI adoption; Educational technology; Human expertise

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching; Artificial intelligence--Social aspects; Computer-assisted instruction--Design; Educational innovations--Decision making

Description

This interactive session shares survey results on current AI adoption patterns from more than 100 instructional design professionals across the United States. Based on quantitative and qualitative analysis of the data, the presentation poses thought-provoking discussion around human expertise versus full automation, prompting reflection on AI’s potential and limitations. The presentation will outline criteria faculty can use to evaluate different AI technologies, determine which are best suited to specific instructional activities based on a tool's unique capabilities and limitations, and make informed adoption choices. Participants will leave equipped with an informed perspective on prioritizing instructional innovation through AI while establishing necessary safeguards against detrimental impacts on students.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Instructional designers, Faculty, Administrators

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Jul 23rd, 1:30 PM Jul 23rd, 2:00 PM

Augmenting Instructional Design: A Frontline View of Generative AI’s Transformative Role

Space Coast

This interactive session shares survey results on current AI adoption patterns from more than 100 instructional design professionals across the United States. Based on quantitative and qualitative analysis of the data, the presentation poses thought-provoking discussion around human expertise versus full automation, prompting reflection on AI’s potential and limitations. The presentation will outline criteria faculty can use to evaluate different AI technologies, determine which are best suited to specific instructional activities based on a tool's unique capabilities and limitations, and make informed adoption choices. Participants will leave equipped with an informed perspective on prioritizing instructional innovation through AI while establishing necessary safeguards against detrimental impacts on students.