Alternative Title

Building Artificial Intelligence (AI) into Gateway Courses to Work for All Faculty

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 A

Start Date

23-7-2024 9:30 AM

End Date

23-7-2024 10:00 AM

Publisher

University of Central Florida Libraries

Keywords:

Personalized learning; Adaptive learning; Student outcomes; Real-time data; Introductory statistics

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Learning and scholarship--Technological innovations; Computer-assisted instruction--Study and teaching (Higher); Statistics--Computer-assisted instruction

Description

As faculty and departments plan for the implementation of personalized learning powered by AI, we must also work through how we integrate tools. Our experience with adaptive learning is clear that technology tools that help students practice with current and relevant materials through active learning is better for them. The benefits to faculty and departments are having real-time data are critical too. This presentation will share lessons learning through grant funded work partnering with Lumen One to improve student outcomes in introductory statistics.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Administrators, Instructional designers

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Jul 23rd, 9:30 AM Jul 23rd, 10:00 AM

Building AI into Gateway Courses to Work for All Faculty

Seminole A

As faculty and departments plan for the implementation of personalized learning powered by AI, we must also work through how we integrate tools. Our experience with adaptive learning is clear that technology tools that help students practice with current and relevant materials through active learning is better for them. The benefits to faculty and departments are having real-time data are critical too. This presentation will share lessons learning through grant funded work partnering with Lumen One to improve student outcomes in introductory statistics.

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.