Concurrent Session #1: Leveraging AI for Content Generation and Personalized Assessment in Higher Education

Alternative Title

Leveraging Artificial Intelligence (AI) for Content Generation and Personalized Assessment in Higher 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 (2023 : Orlando, Fla.)

Location

Cape Florida A

Start Date

24-9-2023 10:15 AM

End Date

24-9-2023 10:30 AM

Publisher

University of Central Florida Libraries

Keywords:

AI content generation; Personalized assessment; Higher education; Student engagement; Faculty workload

Subjects

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

Description

This session will explore the innovative utilization of AI in creating course content, specifically in generating relevant discussion board topics that align with desired learning outcomes. I will further discuss AI’s potential to assess these assignments, offering personalized feedback and transforming grading. Join us to discover how faculty can leverage AI to enhance student engagement and learning efficiency, while streamlining faculty workload.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty

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Sep 24th, 10:15 AM Sep 24th, 10:30 AM

Concurrent Session #1: Leveraging AI for Content Generation and Personalized Assessment in Higher Education

Cape Florida A

This session will explore the innovative utilization of AI in creating course content, specifically in generating relevant discussion board topics that align with desired learning outcomes. I will further discuss AI’s potential to assess these assignments, offering personalized feedback and transforming grading. Join us to discover how faculty can leverage AI to enhance student engagement and learning efficiency, while streamlining faculty workload.

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.