Teaching & Learning in the AI Revolution
Alternative Title
Teaching & Learning in the Artificial Intelligence (AI)Revolution
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 III-IV
Start Date
23-7-2024 2:00 PM
End Date
23-7-2024 2:30 PM
Publisher
University of Central Florida Libraries
Keywords:
Higher education; Inclusive teaching; Universal Design for Learning; Machine learning; Educational strategies
Subjects
Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; Education, Higher--Technological innovations; Learning and scholarship--Technological innovations; Education, Higher--Effect of technological innovations on
Description
The introduction of artificial intelligence (AI) and machine learning in higher education are causing disruptions. The US higher education system's response to AI reflects a nuanced blend of acceptance and hesitation. This dynamic situation underscores the need for a comprehensive approach, emphasizing inclusive teaching, the development of high-impact practices, and other strategies. These measures are crucial in addressing challenges such as declining college enrollments and the persistent underrepresentation of traditionally marginalized populations. This presentation will discuss leveraging the Universal Design for Learning (UDL) framework in the AI revolution to facilitate higher-order learning and skills development for students.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Educators
Recommended Citation
Ramos, Jennifer Garcia and Wilson-Kennedy, Zakiya, "Teaching & Learning in the AI Revolution" (2024). Teaching and Learning with AI Conference Presentations. 79.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/79
Teaching & Learning in the AI Revolution
Sun & Surf III-IV
The introduction of artificial intelligence (AI) and machine learning in higher education are causing disruptions. The US higher education system's response to AI reflects a nuanced blend of acceptance and hesitation. This dynamic situation underscores the need for a comprehensive approach, emphasizing inclusive teaching, the development of high-impact practices, and other strategies. These measures are crucial in addressing challenges such as declining college enrollments and the persistent underrepresentation of traditionally marginalized populations. This presentation will discuss leveraging the Universal Design for Learning (UDL) framework in the AI revolution to facilitate higher-order learning and skills development for students.