125
Mon, 7/29/2019,
8:30 AM -
10:20 AM
CC-502
SPEED: Modernization of What, How, and Where We Teach Statistics Part 1 — Contributed Speed
Section on Statistics and Data Science Education
Chair(s): Kameryn Denaro, University of California, Irvine
Poster Presentations
for this session.
8:35 AM
Causal Inference in Introductory Statistics Courses
Kevin Cummiskey, West Point ; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point
8:40 AM
Teaching Data Intuition: a Book
Rebecca Barter, University of California Berkeley ; Bin Yu, UC Berkeley
8:45 AM
Students’ Understanding of Definitional and Relational Characteristics of Confidence Intervals: Initial Results
Kristen E. Roland, University of Georgia ; Jennifer J. Kaplan, University of Georgia
8:50 AM
Creating Labs to Solve an Investigative Question Using Both Individual and Team Components
Megan Mocko, University of Florida
8:55 AM
Transition from Education to Profession: Experiences of Statisticians
Layla Guyot, Texas State University
9:00 AM
Successful and Sustainable Undergraduate Research in Statistics Through Vertical Integration of Experience and Horizontal Integration of Disciplines
Audrey E Hendricks, University of Colorado Denver
9:05 AM
Statistics Races and Jeopardy Games
David DiMarco ; Ryan Savitz, Neumann University
9:10 AM
Service Learning in Analytics Courses: a Case Study of the Benefits of Teaching Through Helping Others
Kathleen Garwood, Saint Joseph's University ; Vipul Gupta, Saint Joseph's University
9:15 AM
Active-Learning for Bayesian Inference: An Introductory Exercise Using MandM's Candy
Gwendolyn Marie Eadie, University of Washington ; Daniela Huppenkothen, University of Washington; Aaron Springford, Weyerhaeuser; Tyler McCormick, University of Washington
9:20 AM
Undergraduate Statistics Research: a Viewpoint from a Non-Statistician
Ryan Scherenberg ; Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
9:30 AM
Digital Metaphors: a Tool to Provide Insights into Introductory Statistics Students’ Motivation and Success
Ginger Holmes Rowell, Middle Tennessee State University ; Ameneh Kassaee, Middle Tennessee State University
9:35 AM
Studying the Relationship Between Students’ Perception of the Mean and Their Understanding of Variance
Robert Sigley, Texas State University ; Layla Guyot, Texas State University; Alexander White, Texas State University
9:40 AM
Online Learning and Student Experience—a Study of the Impact of Non-Traditional Learning Environments on the Development of Students’ Relationships and Academic Performance
Alicia Lamere, Bryant University ; Kristin Kennedy, Bryant University
9:45 AM
Making an Impact - Take-Aways from Creating a Student-Driven Statistical Consulting Group for Non-Profits
Kristin Kennedy, Bryant University ; Alicia Lamere, Bryant University; Rick Gorvett, Bryant University; Son Nguyen, Bryant University
9:50 AM
Using Think-Aloud Interviews and Cognitive Task Analysis to Identify Misconceptions in Undergraduate Statistics Education
Mikaela Meyer, Carnegie Mellon University ; Josue Orellana, Carnegie Mellon University; Alex Reinhart, Carnegie Mellon University
9:55 AM
Incorporating Real-Time Clustering of Student Responses into an E-Learning System
Philipp Burckhardt, Carnegie Mellon University ; Christopher Genovese, Statistics, CMU; Rebecca Nugent, Carnegie Mellon University; Ronald J. Yurko, Carnegie Mellon University
10:00 AM
Paradox Problems as a Tool for Understanding Statistical Reasoning
Andrew Neath, SIU Edwardsville
10:05 AM
Computational Workshops to Facilitate Implementation of Statistics in Scientific Research
Allison Theobold, Montana State Univ ; Stacey Hancock, Montana State University
10:10 AM
Interactive Examples in Statistics Courses Using R Shiny
Ryne VanKrevelen, Elon University
10:15 AM
Floor Discussion
