eCOTS 2016 - Virtual Poster Sessions

Poster Session A – Monday, May 16th

  1. Using Blueprints to Align Learning Objectives and Assessments
    Whitney Alicia Zimmerman & Glenn Johnson, The Pennsylvania State University
  2. Investigating the Teaching of Statistics with Technology Through the Use of Annotated Lesson Plans
    Elizabeth Arnold, Montana State University
  3. Creating Consultants in Introductory Statistics: Utilizing Facebook Data
    Adam Childers, Roanoke College
  4. Learning and Motivation from Basic versus Enhanced Statistics Video Lessons
    Jennifer Cooper, Wesleyan University
  5. R-Shiny Apps to Empower a Simulation-Based Curriculum
    Allison Theobold & Jim Robison-Cox, Montana State University
  6. Dynamic Data in the Classroom
    Jo Hardin, Pomona College
  7. Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success?
    Laura Hildreth, Jim Robison-Cox & Jade Schmidt, Montana State University
  8. Gender Differences in Statistical Anxiety
    Hyen Oh (PSU), Dennis Pearl (PSU), Larry Lesser (UTEP) & John Weber (GSU)

Poster Session B – Tuesday, May 17th

  1. Linking Statistical Literacy and Practice
    Eric Gerber, Laura Cayon & Christa Sorola, Purdue University
  2. Diverse Undergraduate Research Experiences in Statistics: New NSF REU Sites Administered Through the ASA
    Mark Daniel Ward & Donna LaLonde, American Statistical Association
  3. Multiple regression replaces the need for a tailor
    Allison Davidson, Muhlenberg College
  4. Using Code-Based Statistical Software in an Introductory Statistics Course
    Laura Taylor & Kirsten Doehler, Elon University
  5. Using Technology to Increase Readability of Instructional Materials
    Amy Wagler & Larry Lesser, The University of Texas at El Paso
  6. Learning Communities for Data Analysis and Statistics Technology
    Mark Daniel Ward, Purdue University
  7. A new randomization add-in for JMP to teach basic inference
    Julian L. Parris, SAS Institute/JMP
  8. Writing about Simulations in a Theoretical Statistics Course
    Amy Wagaman, Amherst College
  9. Using the SAMR model to evaluate technological innovations
    Paul Hewson, Plymouth University

Poster Session C – Wednesday, May 18th

  1. Beginning with Bayes - Statistical Inference for Everyone
    Brian Blais, Bryant University
  2. Are Volcanic Eruptions Increasing?: An Example of Teaching Data Wrangling and Visualization in Stat 2
    Kelly McConville, Swarthmore College
  3. E-portfolios in Statistics Course Assessment: Sexier and Smarter
    Dane Christian Joseph, George Fox University
  4. Intro Stats for Future Data Scientists
    Brianna Heggeseth & Richard De Veaux, Williams College
  5. Making Changes with Technology in Mathematical Statistics
    Jennifer L. Green (MSU) & Jennifer Broatch (ASU)
  6. Statistics as a Potential Way to Change Mathematics Instruction in High School Teachers
    Douglas Whitaker, University of Florida
  7. Teaching in a Flipped, Hybrid, or Online Statistics Classroom: Practical Considerations
    Todd A. Schwartz & Jane Monaco, University of North Carolina at Chapel Hill
  8. Interactive Math Stat Visualizations Using R Shiny
    Justin Post, North Carolina State University

Poster Session D – Thursday, May 19th

  1. Pre-Service Teacher Responses to Technology-Specific Items from the Self-Efficacy to Teach Statistics Instrument
    Leigh M. Harrell-Williams (UM), M. Alejandra Sorto (TSU), Rebecca L. Pierce (BSU) & Lawrence M. Lesser (UTEP)
  2. Challenges to Integrity of Online Statistics Courses
    Carl Miller, & Joe Nolan, Northern Kentucky University
  3. ASA DataFest: Weekend-long data analysis hackathon sweeping the globe
    Mine Cetinkaya-Rundel, Duke University
  4. Diner Beware: Building the Capacity to Assess Design and Interpretation in a Study of Studies
    Azka Javaid & Nicholas J. Horton, Amherst College
  5. The gap between tools for learning and for doing statistics
    Amelia McNamara, Smith College
  6. Visualizations Designed to Engage Student Learning
    Shonda Kuiper, Ying Long, Zachary Segall & Krit Petrachai, Grinnell College
  7. Engaging Business Students with a T-Shirt Marketing Project Using Excel
    Georgette Nicolaides, Syracuse University
  8. Beyond the SRS: A Weighted Survey Data Example
    Pamela Fellers, Ruby Barnard-Mayers & Karin Yndestad, Grinnell College