195
Mon, 7/29/2019,
11:35 AM -
12:20 PM
CC-Hall C
SPEED: Modernization of What, How, and Where We Teach Statistics Part 2 — Contributed Poster Presentations
Section on Statistics and Data Science Education
Chair(s): Kameryn Denaro, University of California, Irvine
Oral Presentations
for this session.
1:
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
3:
Students’ Understanding of Definitional and Relational Characteristics of Confidence Intervals: Initial Results
Kristen E. Roland, University of Georgia ; Jennifer J. Kaplan, University of Georgia
4:
Creating Labs to Solve an Investigative Question Using Both Individual and Team Components
Megan Mocko, University of Florida
5:
Transition from Education to Profession: Experiences of Statisticians
Layla Guyot, Texas State University
6:
Successful and Sustainable Undergraduate Research in Statistics Through Vertical Integration of Experience and Horizontal Integration of Disciplines
Audrey E Hendricks, University of Colorado Denver
7:
Statistics Races and Jeopardy Games
David DiMarco ; Ryan Savitz, Neumann University
8:
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:
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
10:
Undergraduate Statistics Research: a Viewpoint from a Non-Statistician
Ryan Scherenberg ; Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
11:
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
12:
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
13:
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
14:
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
15:
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
16:
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
17:
Paradox Problems as a Tool for Understanding Statistical Reasoning
Andrew Neath, SIU Edwardsville
18:
Computational Workshops to Facilitate Implementation of Statistics in Scientific Research
Allison Theobold, Montana State Univ ; Stacey Hancock, Montana State University
19:
Interactive Examples in Statistics Courses Using R Shiny
Ryne VanKrevelen, Elon University
20:
Teaching Data Intuition: a Book
Rebecca Barter, University of California Berkeley ; Bin Yu, UC Berkeley
