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 10:15 AM
End Date
23-7-2024 10:45 AM
Publisher
University of Central Florida Libraries
Keywords:
Artificial intelligence; Marketing education; Higher education; Teaching methods; Educational technology
Subjects
Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; Marketing--Study and teaching (Higher); Education, Higher--Marketing; Teaching--Marketing
Description
AI is revolutionizing many industries, and educational institutions are no exception. Given that marketing is a primary component of higher education, it is most likely one that will need to be reviewed and updated in order to keep up with the ever-changing landscape of AI, not to mention the newly developed skillset corporations (the ones hiring our students) desire of marketing graduates. Universities have a responsibility to their students to adopt AI applications and ultimately shape the landscape of teaching and learning. This paper investigates the relationship between AI and marketing education at the undergraduate level. It seeks to address the growing demand for educators to utilize AI's capabilities and to understand its implications for teaching and learning.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Educators, Administrators
Recommended Citation
Shuayto, Nadia, "An Examination of the Impact of Artificial Intelligence (AI) on Teaching and Learning in Marketing Education" (2024). Teaching and Learning with AI Conference Presentations. 21.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/21
An Examination of the Impact of Artificial Intelligence (AI) on Teaching and Learning in Marketing Education
Seminole A
AI is revolutionizing many industries, and educational institutions are no exception. Given that marketing is a primary component of higher education, it is most likely one that will need to be reviewed and updated in order to keep up with the ever-changing landscape of AI, not to mention the newly developed skillset corporations (the ones hiring our students) desire of marketing graduates. Universities have a responsibility to their students to adopt AI applications and ultimately shape the landscape of teaching and learning. This paper investigates the relationship between AI and marketing education at the undergraduate level. It seeks to address the growing demand for educators to utilize AI's capabilities and to understand its implications for teaching and learning.