Alternative Title
Improving Quantitative and Statistical Reasoning Skills Using Artificial Intelligence (AI) Chatbot Interrogations
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
Gold Coast III/IV
Start Date
29-5-2025 9:30 AM
End Date
29-5-2025 9:55 AM
Publisher
University of Central Florida Libraries
Keywords:
AI chatbots; Quantitative reasoning; Statistical reasoning; Critical thinking; Educational technology
Subjects
Artificial intelligence--Computer-assisted instruction; Critical thinking--Computer-assisted instruction; Statistics--Computer-assisted instruction; Artificial intelligence--Educational applications; Reasoning--Computer-assisted instruction
Description
Role-playing as each other, faculty and students leverage AI chatbots across a set of case studies to help identify correct and incorrect quantitative statistical reasoning for a given hypothesis. Best practices for further interrogation of this reasoning using AI are used to help students identify incorrect or misunderstood assumptions, including utilizing a playbook for effective prompting and decisionmaking. Combined, these skills help faculty promote trust in the responsible use of AI tools for teaching and learning to showcase the gains possible in improving students' critical thinking skills while raising the ceiling on performance.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Librarians; Faculty; Students
Recommended Citation
Hellwig, Tre and Fleming, Raymond, "Improving Quantitative and Statistical Reasoning Skills Using AI Chatbot Interrogations" (2025). Teaching and Learning with AI Conference Presentations. 8.
https://stars.library.ucf.edu/teachwithai/2025/thursday/8
Improving Quantitative and Statistical Reasoning Skills Using AI Chatbot Interrogations
Gold Coast III/IV
Role-playing as each other, faculty and students leverage AI chatbots across a set of case studies to help identify correct and incorrect quantitative statistical reasoning for a given hypothesis. Best practices for further interrogation of this reasoning using AI are used to help students identify incorrect or misunderstood assumptions, including utilizing a playbook for effective prompting and decisionmaking. Combined, these skills help faculty promote trust in the responsible use of AI tools for teaching and learning to showcase the gains possible in improving students' critical thinking skills while raising the ceiling on performance.