Alternative Title

Innovative Instruction Techniques Using Artificial Intelligence (AI) in Graduate 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 (2025 : Orlando, Fla.)

Location

Mangrove

Start Date

29-5-2025 2:45 PM

End Date

29-5-2025 3:10 PM

Publisher

University of Central Florida Libraries

Keywords:

AI applications; Graduate education; Ethical considerations; Adaptive learning; Student engagement

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Educational technology--Study and teaching (Graduate); Artificial intelligence--Moral and ethical aspects; Educational innovations

Description

This roundtable will explore innovative and ethical applications of Artificial Intelligence (AI) in graduate education, focusing on research, course design, assignments, and class activities. Presenters will share examples of AI-driven tools, such as adaptive learning platforms and automated feedback systems, that enhance student engagement and learning outcomes. Discussions will address ethical considerations, including data privacy, algorithmic bias, and maintaining the human elements of teaching. Supported by current research (Zawacki-Richter et al., 2019), attendees will engage in interactive dialogue and receive practical resources to integrate AI responsibly into their teaching, fostering interdisciplinary collaboration and ethical decision-making across disciplines.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty; Graduate Students

Download

Share

COinS
 
May 29th, 2:45 PM May 29th, 3:10 PM

Innovative Instruction Techniques Using AI in Graduate Education

Mangrove

This roundtable will explore innovative and ethical applications of Artificial Intelligence (AI) in graduate education, focusing on research, course design, assignments, and class activities. Presenters will share examples of AI-driven tools, such as adaptive learning platforms and automated feedback systems, that enhance student engagement and learning outcomes. Discussions will address ethical considerations, including data privacy, algorithmic bias, and maintaining the human elements of teaching. Supported by current research (Zawacki-Richter et al., 2019), attendees will engage in interactive dialogue and receive practical resources to integrate AI responsibly into their teaching, fostering interdisciplinary collaboration and ethical decision-making across disciplines.