TRAIIL Open House

Alternative Title

Teaching Repository for AI-Infused Learning (TRAIIL) Open House

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

Gold Coast I-II

Start Date

23-7-2024 11:30 AM

End Date

23-7-2024 12:30 PM

Publisher

University of Central Florida Libraries

Keywords:

AI education; Higher education; Teaching strategies; Case studies; Educational resources

Subjects

Artificial intelligence--Educational applications; Open learning--Study and teaching; Learning and scholarship--Technological innovations; Artificial intelligence--Study and teaching (Higher); Teachers' workshops

Description

Join us to learn more about the Teaching Repository for AI-Infused Learning (TRAIIL), the new AI collection for higher ed professionals built by you. Discover how TRAIIL aims to enhance educational experiences by serving as a resource of collective strategies, case studies, assignments, etc. This session will include an overview of the TRAIIL submission process and serve as open Q&A time to address your inquiries. Don’t miss this opportunity to be a TRAIILblazer at the forefront of teaching with AI.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Instructional designers, Educators

This document is currently not available here.

Share

COinS
 
Jul 23rd, 11:30 AM Jul 23rd, 12:30 PM

TRAIIL Open House

Gold Coast I-II

Join us to learn more about the Teaching Repository for AI-Infused Learning (TRAIIL), the new AI collection for higher ed professionals built by you. Discover how TRAIIL aims to enhance educational experiences by serving as a resource of collective strategies, case studies, assignments, etc. This session will include an overview of the TRAIIL submission process and serve as open Q&A time to address your inquiries. Don’t miss this opportunity to be a TRAIILblazer at the forefront of teaching with AI.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.