JSM2025
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Contributed Posters

Contributed Poster Presentations: Section on Statistics and Data Science Education

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-Hall B Music City Center
Shirin GolchiChair
Section on Statistics and Data Science Education

9 Presentations

41: Central Limit Theorems and Approximation Theory
10:30 AM - 12:20 PM
Co-authors: ARISINA BANERJEE (Cornell University), ARISINA BANERJEE (Cornell University)
multidimensionalcentral limit theoremBerry-Esseen bounddependence on dimensiondependence on function
42: Data Science Modules for K-12 Afterschool Clubs
10:30 AM - 12:20 PM
Co-authors: Jingtian Yu (Oregon State University), Yanming Di (Oregon State University)
data scienceK-12STEMeducationAI
43: Enhancing Statistics Classroom Review Through A Cooperative Fantasy-Themed Board Game
10:30 AM - 12:20 PM
Co-authors: Will Boyles, Will Boyles
Statistics EducationGame-Based Learning
44: Free LLMs versus Paid LLMs: Do They Widen the Gap in Education?
10:30 AM - 12:20 PM
Co-authors: Sophie Yang (Bucknell University), Sophie Yang (Bucknell University), Sophie Yang (Bucknell University), Dulguun Soyol-Erdene (Bucknell University), Keegan Kang (Bucknell University)
AI in educationLarge Language Modelsdigital divide
45: Measuring Curiosity in Introductory Statistics Students
10:30 AM - 12:20 PM
Co-authors: Visruth Srimath Kandali (California Polytechnic State University), Visruth Srimath Kandali (California Polytechnic State University), Amy Truong (Cal Poly - California Polytechnic State University), Ella Smith (Cal Poly - California Polytechnic State University), Beth Chance (California Polytechnic State University)
CuriosityStatistics EducationIntrinsic MotivationLearningStudent EngagementTeaching Environment
46: Multivariate Time Series Analysis of Lung and Colon Cancer Mortality in Jamaica and the U.S.
10:30 AM - 12:20 PM
Co-authors: Shanice Douglas (East Tennessee State University), Mostafa Zahed (East Tennessee State University), Shanice Douglas (East Tennessee State University)
Cancer MortalityTime Series Analysis, VARMA, Multivariate ForecastingMonte Carlo Simulation, Predictive AnalyticsPublic HealthGeographic Analysis: Jamaica, United States
47: Order Restricted Cluster Randomized Block Design
10:30 AM - 12:20 PM
Co-authors: Gregory Hopper (Centre College), Omer Ozturk (The Ohio State University), Gregory Hopper (Centre College), Olena Kravchuk (The University of Adelaide)
order restricted randomizationranked set samplingintracluster correlation coefficientLatin squareoptimal design
48: Removing barriers to better data practices through Capability, Opportunity, and Motivation
10:30 AM - 12:20 PM
Co-authors: Andrew Brown (University of Arkansas for Medical Sciences), Andrew Brown (University of Arkansas for Medical Sciences), Stephanie Dickinson (Indiana University, Department of Epidemiology and Biostatistics), CJ Fortune (Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences), Sydney Howk (Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences), Kimberly Lamb (Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences), Anna Macagno (Indiana University School of Public Health-Bloomington), Erik Parker (Indiana University)
EducationReproducibilityData sharingVerificationBehavior change
49: Risk Factors and Individualized Prediction of Student Retention
10:30 AM - 12:20 PM
Co-authors: Juanjuan Fan (San Diego State University), Erin Jacobs (San Diego State University), Xi Yan (San Diego State University), Richard Levine (San Diego State University), Jeanne Stronach (San Diego State University)
student retentiondiscrete-time survival analysisrandom forestvariable importanceindividualized prediction
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