AI for All Learners: AI Education for Non-Traditional Students

Alternative Title

Artificial Intelligence (AI) for All Learners: AI Education for Non-Traditional Students

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

Sun & Surf I-II

Start Date

23-7-2024 3:15 PM

End Date

23-7-2024 3:45 PM

Publisher

University of Central Florida Libraries

Keywords:

AI education; Non-traditional students; Technical colleges; Inclusive learning; Career readiness

Subjects

Artificial intelligence--Study and teaching; Artificial intelligence--Educational applications; Nontraditional college students; Adult education--Technological innovations; Technical education--Computer-assisted instruction

Description

This presentation will focus on AI deployment in two-year technical colleges in the Technical College System of Georgia (TCSG), using the examples of AI in college classes and partnerships with R1 institutions in the development and implementation of the software. It will highlight the necessity of preparing students of diverse backgrounds to use AI in their careers, not just in “white collar” sectors, but in manufacturing, construction, and other “trade-oriented” sectors. Overcoming hesitancy of older and non-traditional college students around AI and how professors and tech-designers can overcome these challenges to make educational AI more inclusive will also be discussed.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Administrators

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Jul 23rd, 3:15 PM Jul 23rd, 3:45 PM

AI for All Learners: AI Education for Non-Traditional Students

Sun & Surf I-II

This presentation will focus on AI deployment in two-year technical colleges in the Technical College System of Georgia (TCSG), using the examples of AI in college classes and partnerships with R1 institutions in the development and implementation of the software. It will highlight the necessity of preparing students of diverse backgrounds to use AI in their careers, not just in “white collar” sectors, but in manufacturing, construction, and other “trade-oriented” sectors. Overcoming hesitancy of older and non-traditional college students around AI and how professors and tech-designers can overcome these challenges to make educational AI more inclusive will also be discussed.