AI in Academia: Navigating the New Frontier of Student Assignments and Faculty Grading

Alternative Title

Artificial Intelligence (AI) in Academia: Navigating the New Frontier of Student Assignments and Faculty Grading

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 12:00 PM

End Date

23-7-2024 12:30 PM

Publisher

University of Central Florida Libraries

Keywords:

AI in education; Academic integrity; Grading systems; Ethical considerations; Student outcomes

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Grading and marking (Students)--Computer-assisted instruction; Artificial intelligence--Moral and ethical aspects; Education, Higher--Automation

Description

This interactive session aims to provide educators with insights into effectively navigating AI's dual role in academia, enhancing the educational experience while maintaining academic standards. This session explores the implications of AI-generated content and AI-assisted grading in higher education. We will discuss AI's impact on teaching, learning, and assessment authenticity, focusing on ethical considerations, academic integrity, and the effects on critical thinking and student outcomes. Additionally, the reliability and limitations of AI grading systems in evaluating student work will be examined.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Administrators, Students

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Jul 23rd, 12:00 PM Jul 23rd, 12:30 PM

AI in Academia: Navigating the New Frontier of Student Assignments and Faculty Grading

Sun & Surf III-IV

This interactive session aims to provide educators with insights into effectively navigating AI's dual role in academia, enhancing the educational experience while maintaining academic standards. This session explores the implications of AI-generated content and AI-assisted grading in higher education. We will discuss AI's impact on teaching, learning, and assessment authenticity, focusing on ethical considerations, academic integrity, and the effects on critical thinking and student outcomes. Additionally, the reliability and limitations of AI grading systems in evaluating student work will be examined.