eCOTS 2024 - Posters & Beyond

Monday, June 10th

M01: “Enhanced” Sample Data Sets for Hands-On Exercises | Monday

JMP | Kevin Potcner (Poster), Ross Metusalem (Video)

M02: AI-Enhanced Statistics Education: Transforming Learning, Assessment, and Feedback

Brianna Hitt, Jessica Hauschild

M03: Authentic Data Explorations: Exploring the Normal Distribution through Comparative Rent Data

Maria Cruciani, Justin Post, Jennifer Green, Sunghwan Byun

M04: CougarStats: An R Shiny App for Statistical Data Analysis

Ashok Krishnamurthy, Michael Myer

M05: Experimental Design Activity to Compare Performance of Generative AI Platforms

Monnie McGee, Bivin Sadler

M06: Exploring Normal Distributions with Water Quality Data

Amanda Walker, Leslie Shroyer

M07: Finding a statistical voice: Exploring rhetorical structure of student writing from introductory to advanced course levels

Meg Ellingwood

M08: Hybrid Horizons: Rethinking Introductory Statistics for Life Scientists

Bethany White, Jastaranpreet Singh

M09: Integrating API Usage in Data Science, Statistics, and Computer Science Curricula

Immanuel Williams, Adam Del Rio, Emily Zhu, Ken Xie

M10: Introducing Undergraduates to Data Science Research through Research Training Seminar Series

Christina Jamroz, Angela Antonou

M11: Moving Forward with the Integration of Generative AI in Jupyter Notebook for Teaching and Assessment of Data Science.

Kehinde Irabor

M12: Moving Online Student Discussion a Step Forward Using Social Annotation in Perusall in an Introductory Statistics

Leigh M. Harrell-Williams, Yeonji Jung, Eli Jones, Luke Walden

M13: Resources for JEDI-Informed Statistics Teaching

Jennifer Ward, Jo Hardin, Tyler George, Jess Kunke

M14: Scaling up active learning activities via LLMs in an intermediate statistics class

M15: StatsSkills web app: a tool for systematically practising statistics skills

Damien Raftery, Daire Ó Broin, Denise Earle

M16: Student-produced blog posts using Python + Quarto + Github Pages

Debbie Yuster

M17: Ungrading vs Traditional Grading in an Undergraduate Introductory Statistics Course

Wendy Rummerfield, Josue Alcaraz; Shonushka Sawant

Tuesday, June 11th

T01: “Enhanced” Sample Data Sets for Hands-On Exercises | Tuesday

JMP | Kevin Potcner (Poster), Ross Metusalem (Video)

T02: A New Look at Sampling Distribution

Andrei Perkhounkov

T03: A Shiny App for Deeper Exploration of the CLT via the K-S Statistic

Huda Saeed, Cassandra Pattanayak

T04: An Interactive Classroom Activity to Support Interpretations of Statistical Results

Janine Allwright, Stacy Bjorkman

T05: Changing the Channel on Assessments

Jennifer M. Seat

T06: Discovering Effective Study Strategies through Data Analysis: Activities for Introductory Statistics

Shannon Claxton

T07: Inquiry-Based Learning in an Undergraduate Probability Theory Course

Jessie Oehrlein

T08: Linear Regression and Lines of Best Fit in the CATALST Curriculum

T09: Moving Forward to Using the MASDER Team’s Instruments

Marjorie Bond, Leyla Batacki, Alana Unfried, Michael A Posner, Douglas Whitaker, April Kerby-Helm

T10: Passion-Driven Statistics: Brief Curriculum Overview

Kristin Flaming, Kristel M. Gallagher

T11: Revealing undergraduate biology students’ conceptions of variability within graphing

Lauren Stoczynski, Anna McCoy, David Zis, Eli Meir, Susan Maruca, Joel Abraham, Stephanie Gardner

T12: See you at the Posterior line: using an online racing game for introducing students to Bayesian data analysis

Federica Zoe Ricci, Mine Dogucu

T13: Student Collaborative Experiences & Self-Perceptsions -- A Comparison Study of Complex Instruction

Jett Palmer, Allison Theobold

T14: Teaching Introductory Data Science using interactive Jupyter notebooks

Christina Jamroz

T15: The GRAFIC Framework: Graphics-Relevant Advice to Facilitate Information Communication

Regina Lisinker, Laura Allen

T16: Weekly Statistical Activities to Support Students' Learning Experience

Asal Aslemand, Zheng Yang Fei, Yusuf Kenaroglu, Dylan Galego

T17: Why come to class?--A Qualitative Look at Student’s Comparison of Video vs. In-person Class Experience

Junke "Chloe" Yang, Kelly Findley, Mehmet Aktas

T18: Discussion Boards as a Learning and Community Building Tool in Large Statistics Courses

Karen Huynh Wong

Wednesday, June 12th

W01: “Enhanced” Sample Data Sets for Hands-On Exercises | Wednesday

JMP | Kevin Potcner (Poster), Ross Metusalem (Video)

W02: Engaging Students Using Simulation-Based Introductions to Computational Statistical Methods

W03: Exploration of Effect Size Through an Interactive In-class Activity

Marian Frazier

W04: Exploring How Novices and Experts Engage in Computational Thinking with Data

Alyssa Hu, Neil J. Hatfield, Matthew D. Beckman

W05: Feasibility Study for Developing and Validating an Instrument that Includes Interactions Among Learning Objectives Related to Confidence Intervals

Susan Lloyd, Matthew Beckman

W06: Formative Assessment Cycles: The Impact on Student Attitudes in Large-Enrollment Introductory Statistics

KimberLeigh F. Hadfield

W07: Helping Students Select an Appropriate Analysis Technique in a Second Course in Data Science

Julie Deeke, Tori Ellison

W08: Identifying Challenging Topics in Online Statistics Courses

Pamela Fellers

W09: In-Class Modelling Competitions and Language Models for Data Generation

Adam Gilbert, Sarah Dumnich

W10: Integrating Machine Learning into Undergraduate Statistics Education

W11: Integrating Modern Statistic Pedagogy into Professional Health Science Education

Dana McGuire, Jane Oppenlander

W12: Minimizing Statistics Stress with The Best Possible Term Activity

Stacy Bjorkman

W13: POGIL-style Activities Introducing Students to Bayes Theorem

Angela M Ebeling, Kaitlyn Fitzgerald and Olga Glebova

W14: The Problem of Multiple Comparisons: A Role-playing Activity

Jonathan Wells

W15: Three Flavors of Introductory Statistics

W16: Topics for an Introductory Data Science Course

Michael Posner

Thursday, June 13th

Th01: “Enhanced” Sample Data Sets for Hands-On Exercises | Thursday

JMP | Kevin Potcner (Poster), Ross Metusalem (Video)

Th02: Course: Exploring Housing Inequities in Iowa

Th03: Developing Thoughtful Scientists through an Introduction to Data Science Course

Emily Grace Bolger

Th04: Did Transforming Assessments in Large-Enrollment Introductory Statistics Impact Student Achievement? Surprisingly, Only for Those Who Needed It!

KimberLeigh F. Hadfield

Th05: Direct vs. indirect assessment in a Business Analytics course at a minority-serving institution

Sinjini Mitra

Th06: Enhancing Statistical Education: A CogStat-based Manual for Efficient Learning and Adaptation Process

Evelin Haász, Attila Krajcsi

Th07: Exploring Student Struggle in Introductory Data Science Courses

Aimee Schwab-McCoy

Th08: Framing and Broadening Understanding of Research Norms in a Second Course in Data Science

Tori Ellison, Julie Deeke

Th09: How well does ChatGPT think and reason statistically? Students decide.

Th10: Inclusive teaching in Statistics: development of a new open-access teaching data resource

Th11: Modernizing the Teaching of Confidence Intervals in Mathematical Statistics Courses

Peter Freeman

Th12: Moving Measurement in Statistics Classrooms and Statistics Education Research Forward with the VMED Repository

Leigh Harrell-Williams, Stephanie Casey, Charlotte Bolch, Hartono Tjoe, Jonathan Bostic, Erin Krupa, Timothy Folger

Th13: Re-envisioning a statistics senior comprehensive requirement to promote student engagement

Nicholas Bussberg, Ryne VanKrevelen, Mark Weaver, Laura Taylor

Th14: Required vs. Optional Homework in an Introductory Probability & Statistics Course

Melanie Autin, Hope Marchionda

Th15: Setting the Stage for Statistics Learning

V.N. Vimal Rao

Th16: Study designs with ChatGPT in an introductory statistics classroom

Ariadni Papana

Th17: The Illusion of Randomness: Evaluating Student Sampling Performance

Zhaolin Li, Wenqi Zeng, Kelly Findley, Stephen Portnoy

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Note: All times are listed in Eastern Time.