eCOTS 2020 - Posters

Presenters will be standing by during each virtual poster session to answer your questions. If you would like to post a comment, simply log in with one of the social media services listed on the comments panel or post as a guest by signing up with Disqus (first name and e-mail required).

Monday, May 18th

P1-01: Discipline-Specific Activities in Introductory Statistics

By Ciaran Evans, Philipp Burckhardt, Rebecca Nugent, & Gordon Weinberg (Carnegie Mellon University)

P1-02: The Interactive Lecture

By Philipp Burckhardt, Christopher R. Genovese, & Rebecca Nugent (Carnegie Mellon University)

P1-03: Enhance curiosity and learning by getting students to make predictions

By Damien Raftery (Institute of Technology Carlow)

P1-04: Data-Driven Project-Based Elementary Statistics

By Shurong Fang (John Carroll University)

P1-05: Increasing Active Learning in an Online Introductory Statistics Course with Low-Stakes Assignments

By Whitney Alicia Zimmerman (Pennsylvania State University)

P1-06: Mixing It Up: The Impact of Resequencing Topics in an Undergraduate Introductory Statistics Course

By Samantha Robinson (University of Arkansas)

P1-07: Using Socrative's Space Race to Engage and Assess Statistics Students

By Laura Taylor (Elon University)

P1-08: The Benefits of an Inquiry Based Science Education (IBSE) Assessment in an Undergraduate-Level Statistics Course

By Brenna Butler & Jennifer Ann Morrow (University of Tennessee - Knoxville)

P1-09: Teaching Nursing Students Statistics for Matched Data with Pain Rating Activity

By Shuying Sha (University of North Carolina at Greensboro)

P1-10: Using Python in an Advanced Placement Statistics Class

By JaCoya Thompson (Northwestern University)

Tuesday, May 19th

P2-01: Examining the Impact of Discussion Activities on Student Understanding in Introductory Statistics

By Rachael N. Becker (Southern Methodist University)

P2-02: Using Cognitive Task Analysis to Uncover Misconceptions in Statistical Inference Courses

By Mikaela Meyer, Josue Orellana, & Alex Reinhart (Carnegie Mellon University)

P2-03: Exploring how students reason about correlation and causation

By Ciaran Evans, Alex Reinhart, Philipp Burckhardt, Rebecca Nugent, & Gordon Weinberg (Carnegie Mellon University)

P2-04: Bayesian Network Analysis of Log File Data from Students Using SMILES Interactive Statistics Songs

By Dennis Pearl, Matthew Beckman, Neil Hatfield, Yiyun Gong, & Sean Klavans (Pennsylvania State University); Larry Lesser (University of Texas at El Paso)

P2-05: Measuring Statistics Attitudes and Anxieties

By Douglas Whitaker & Aaron White (Mount Saint Vincent University)

P2-06: Teaching Modeling Through an Online Farming Game

By Zhaoqing (Kandice) Wu, Shonda Kuiper, Grace Tsui, & Henry Firestone (Grinnell College)

P2-07: Using an Online Game to Demonstrate the Challenges of p-Values

By Devansh Chandgothia, Liden, Liam Liden, Ryuta Kure, & Shonda Kuiper (Grinnell College)

P2-08: Designing Experiments with an Online Racing Game

By Shonda Kuiper, James Msekela, Dev Nalwa, & Anaan Ramay (Grinnell College)

P2-09: Cognitive Retention and how it affects learning (Statistics)

By Joshua Daniel (Grand Valley State University)

P2-10: Illustrative examples to promote and encourage the appropriate use of survey data

By Pamela Fellers (Grinnell College)

Wednesday, May 20th

P3-01: Drawing the normal curve: A visual thematic analysis of community college Students experiences with writing-to-learn assignments in an introductory statistics course

By Samantha Estrada (University of Texas at Tyler)

P3-02: Examining the relationship between Student Learning and Engagement in a traditional Statistics course and one that incorporates the use coding language

By Venessa N Singhroy (Queensborough Community College - CUNY)

P3-03: Personalized Assessment Reports to Inform and Motivate Students within Introductory Statistics Courses using R and Akindi

By Immanuel Williams (California Polytechnic State University)

P3-04: Implementing a Senior Statistics Practicum: Lessons and Feedback from the First Offering

By Kirsten Doehler & Sierra Paloian (Elon University)

P3-05: Stats Live! How to Plan an Impactful Event for Statistics Students

By Maria Ferrara & Krista Varanyak (University of Virginia)

P3-06: A Whale of a Tale: Explorations of Bias in Surveys on Marine Life

By Brianna Kurtz & Sarah Smith (Crooms Academy of Information Technology)

P3-07: That's So Unfair! Statistics Ethics Case Studies for Increasing Engagement in Statistics Education

By Dane Christian Joseph (George Fox University)

P3-08: The Great P-Value Debate

By Jerry Krantz & Beverly Wood (Embry-Riddle Aeronautical University)

P3-09: The Daily Question: Engaging Students in Your Course

By Matthew Hawks (US Naval Academy)

P3-10: Controlling for Context by Standardizing

By Milo Schield (Augsburg University)

Legend

Birds of a Feather
Breakout
Keynote / Panel
Workshop
Poster Session
Tech Talk
Sponsored
Other

※ Denotes tentative session.

* Denotes repeated session.

Note: All times are listed in Eastern Time.