Concurrent Session #2: Develop Lecture Notes for Multiple Regression for Undergraduate Students in Data Science Using ChatGPT
Alternative Title
Develop Lecture Notes for Multiple Regression for Undergraduate Students in Data Science Using ChatGPT
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
Key West A
Start Date
24-9-2023 11:30 AM
End Date
24-9-2023 12:00 PM
Publisher
University of Central Florida Libraries
Keywords:
Multiple regression; ChatGPT; Lecture materials; Data science education; Worksheet creation
Subjects
Lectures and lecturing--Computer programs; Academic writing--Computer-assisted instruction; Machine learning--Study and teaching; Lectures and lecturing--Planning; Statistics--Computer-assisted instruction
Description
Although ChatGPT is fundamentally a language model, its application goes beyond and serves as a valuable tool for assisting educators in streamlining the creation of lecture materials. Consequently, educators can free up more of their time for scholarly endeavors and administrative obligations. In the upcoming presentation, we will delve into a structured approach for effectively leveraging ChatGPT to curate an exhaustive guide pertaining to the intricacies of multiple regression. In order to facilitate a thorough grasp of the concepts, participants of the symposium will be furnished with accompanying worksheets, designed to aid them in formulating their personalized lecture notes through the utilization of ChatGPT.
Language
eng
Type
Presentation
Creator (Linked Data)
Wang, Morgan C. [LC]
Rights Statement
All Rights Reserved
Audience
Educators, Faculty
Recommended Citation
Wang, Morgan and Ni, Liqiang, "Concurrent Session #2: Develop Lecture Notes for Multiple Regression for Undergraduate Students in Data Science Using ChatGPT" (2023). Teaching and Learning with AI Conference Presentations. 17.
https://stars.library.ucf.edu/teachwithai/2023/sunday/17
Concurrent Session #2: Develop Lecture Notes for Multiple Regression for Undergraduate Students in Data Science Using ChatGPT
Key West A
Although ChatGPT is fundamentally a language model, its application goes beyond and serves as a valuable tool for assisting educators in streamlining the creation of lecture materials. Consequently, educators can free up more of their time for scholarly endeavors and administrative obligations. In the upcoming presentation, we will delve into a structured approach for effectively leveraging ChatGPT to curate an exhaustive guide pertaining to the intricacies of multiple regression. In order to facilitate a thorough grasp of the concepts, participants of the symposium will be furnished with accompanying worksheets, designed to aid them in formulating their personalized lecture notes through the utilization of ChatGPT.