Alternative Title

Artificial Intelligence (AI) in Academia: A Structured Approach to Embedding Generative Technologies in Higher Education

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

Seminole E

Start Date

24-7-2024 10:15 AM

End Date

24-7-2024 10:45 AM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Course design; Prompt engineering; Student engagement; Ethical integration

Subjects

Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; Education, Higher--Technological innovations; Artificial intelligence--Methodology; Universities and colleges--Technological innovations

Description

Generative AI (GenAI) has become an integral part of various industries, and education is no exception. This proposal is focused on exploring the usage of generative AI for professors to enhance their courses. The presentation will showcase systematic steps which include gaining a foundational knowledge of generative AI, using prompt engineering, policy development, course design, student engagement, and learning support while leveraging its capabilities ethically and productively. Ultimately the goal is to provide a framework that has options to integrate AI Technologies in higher ed courses.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Instructional designers

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Jul 24th, 10:15 AM Jul 24th, 10:45 AM

AI in Academia: A Structured Approach to Embedding Generative Technologies in Higher Education

Seminole E

Generative AI (GenAI) has become an integral part of various industries, and education is no exception. This proposal is focused on exploring the usage of generative AI for professors to enhance their courses. The presentation will showcase systematic steps which include gaining a foundational knowledge of generative AI, using prompt engineering, policy development, course design, student engagement, and learning support while leveraging its capabilities ethically and productively. Ultimately the goal is to provide a framework that has options to integrate AI Technologies in higher ed courses.