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Legend:
CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details


9 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 202
Data Science Education - Successes and Challenges: Stories from the Classroom and Beyond — Invited Papers
Journal of Statistics Education, Business Analytics/Statistics Education Interest Group, Section on Statistical Education
Organizer(s): Soma Roy, Cal Poly, San Luis Obispo
Chair(s): Amy Wagler, The University of Texas at El Paso
2:05 PM Teaching Students to Think About Data Representation
Dennis L Sun, Cal Poly and Google
2:25 PM An Interdisciplinary Approach to Data Science Education
Presentation
Galin Jones, University of Minnesota
2:45 PM Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom
Thomas Fisher, Miami University
3:05 PM Data Science: a Recent Graduate's 'Reverse Engineered' Perspective
Presentation
Kelsey Warsinske, DePauw University, Miami University, Facebook
3:25 PM Discussant: Nicholas J. Horton, Amherst College
3:45 PM Floor Discussion
 
 

26 !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 116
Leading to Quantitative Literacy — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Committee on Professional Ethics, Committee on Applied Statisticians, Section on Statistical Education
Organizer(s): Rochelle Tractenberg, Georgetown University
Chair(s): Laila Poisson
2:05 PM Training with the Mastery Rubric for Statistical Literacy to Promote Rigor and Reproducibility Across Scientific Disciplines: Making the Journal Club Educational
Rochelle Tractenberg, Georgetown University
2:25 PM Knowledge Assessment of Statistics Educators in the Health Sciences
Presentation
Matthew Hayat, Georgia State University; Michael Jiroutek, Campbell University; MyoungJin Kim, Illinois State University; Todd Schwartz, University of North Carolina at Chapel Hill
2:45 PM Graphical and Quantitative Literacy: Empowerment Begins with Naming and Describing What We Do
Presentation
Susan Duke, FDA
3:05 PM Increasing Statistical Literacy by Thinking Like a Journalist (And Maybe Even Working with One)
Regina Nuzzo, Gallaudet University
3:25 PM Floor Discussion
 
 

35
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-East 9
Statistics in Sports, Competitions, and the Arts — Contributed Papers
Section on Statistical Education
Chair(s): Jack Follis, University of St. Thomas
2:05 PM Senior Swim Competition Times
Presentation
David P. Doane, Oakland University; Lori E Seward, University of Colorado; Kevin Murphy, Oakland University
2:20 PM Playoff Series and the Incomplete Beta Function
Presentation
Roger Johnson, South Dakota School of Mines & Tech
2:35 PM Measuring Judge Agreement for a High School Diving Competition
Presentation
Monnie McGee, Southern Methodist University
2:50 PM A Ratio-Based Method for Predicting Point Differentials in Sports
Presentation
Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha
3:20 PM Statistics in Works of Fiction - in Three Acts
André Michelle Lubecke, Lander University
3:35 PM The Nature of Reality: Was Will Hunting Really All That Smart?
Presentation
Laurence Robinson, Ohio Northern University
 
 

67 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 118
Statistics Education for Future Military Leaders — Topic Contributed Panel
Section on Statistics in Defense and National Security, Section on Statistical Education
Organizer(s): Matthew Hawks, US Naval Academy
Chair(s): Matthew Hawks, US Naval Academy
4:05 PM Statistics Education for Future Military Leaders
Presentation
Panelists: Robert Koyak, Naval Postgraduate School
Kenneth Horton, US Air Force Academy
David Ruth, US Naval Academy
Andrew Geyer, Air Force Institute of Technology
5:40 PM Floor Discussion
 
 

74 *
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 203
Challenges and Approaches to Teaching Statistics in the Health Sciences — Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Education
Chair(s): Kendra Schmid , University of Nebraska Medical Center
4:05 PM Helping New Healthcare Researchers to Consider Statistics Early
Presentation
Nicole Herrera, Children's National Medical Center; Heather Gordish-Dressman, Children's National Medical Center; James Bost, Children's National Medical Center
4:20 PM Mixing Active Learning and Lecturing: Using Interactive Visualization as a Teaching Tool
Presentation
Jessica Minnier, Oregon Health & Science University; Ted Laderas, Oregon Health & Science University
4:35 PM Effective Story Telling with Dynamic Data Visualizations
Ruth Hummel, SAS Institute, JMP Division; Mia Stephens, SAS Istitute, JMP Division
4:50 PM Overcoming Fears (My Own) Teaching Reproducible Research, Big Data and Data Mining in Nursing and Public Health Education
Presentation
Melinda Higgins, Emory University
5:05 PM Statistical Significance: Time to Look Forward
Presentation
Philip Sedgwick, St. George's, University of London
5:20 PM Floor Discussion
 
 

216503
Sun, 7/29/2018, 5:00 PM - 6:30 PM F-Burrard Suite
Isolated Statisticians Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): KB Boomer, Bucknell University
 
 

216530
Mon, 7/30/2018, 7:00 AM - 8:30 AM F-Mackenzie I
Section on Statistical Education Officers Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
 
 

118
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 209
SPEED: Teaching Statistics: Strategies and Applications — Contributed Speed
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Brenna Curley, Moravian College
Poster Presentations for this session.
8:35 AM Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Presentation
Darlene Olsen, Norwich University
8:45 AM The Statistics Workshop: Cultivating Diversity in Statistics
Presentation
Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
8:50 AM Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:55 AM Shiny Dashboards to Help Students Improve Performance
Presentation
Robert Carver, Brandeis International Business School
9:00 AM A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Presentation
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
9:05 AM How Students Make Sense of Data on an E-Learning Platform
Presentation
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
9:10 AM Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses
Presentation
Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9:15 AM The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education
Presentation
James Pleuss, United States Military Academy
9:20 AM A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Presentation
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
9:30 AM The Novel Communication Tool: Mathematics Classroom Collaborator (MC2)
Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
9:35 AM Predicting Student Performance in Undergraduate Introductory Statistics Courses
Presentation
Dusty Turner, USMA
9:45 AM Type S Error Control in Hypothesis Testing
Presentation
Andrew Neath, SIU Edwardsville
9:50 AM Affordable and Open Educational Resources (OER) in Statistical Education
Suhwon Lee, Univ of Missouri
9:55 AM Introducing Forecast Intervals with a Confidence Game
Presentation
Robin Lock, St. Lawrence University
10:00 AM Teaching Statistical Consulting at Primarily Undergraduate Institutions
Presentation
Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
10:05 AM Helping All Students Properly Design and Analyze Experiments
Presentation
Jennifer Broatch, Arizona State University
10:10 AM Recreational Statistics at the Junior High/High-School Level
Presentation
Joy Yang, MIT
10:15 AM Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
 
 

128
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 115
Curricular Considerations for Statistics and Data Science Education — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Kevin McCarter, Louisiana State University
8:35 AM Revisit: a Statistical Teaching Tool in R
Presentation
Tiffany Eunice Chen, UC Davis; Emily Watkins, UC Davis; Norman Matloff, University of California at Davis
8:50 AM Developing an Introductory Data Science Course in a Computer Science Curriculum
Presentation
Dianna Spence, University of North Georgia
9:05 AM Teaching Bayesian Statistics in Undergraduate Classes
Presentation
Ananda Jayawardhana, Pittsburg State University
9:20 AM Statistics Projects in a PIC-MATH Course
Debra Hydorn, University of Mary Washington
9:35 AM Statistical Literacy and the Log-Normal Distribution
Presentation
Milo Schield, Augsburg College
9:50 AM A Venn-Diagram Analysis of the Role of Statistics in Data Science
Presentation
John McKenzie, Babson College
10:05 AM Floor Discussion
 
 

153 !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 202
Creating and Sustaining an Undergraduate Research Program — Topic Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Justin Blaise Post, North Carolina State University
Chair(s): Nathan Tintle, Dordt College
10:35 AM Understanding the Benefits and Barriers of Undergraduate Research in Statistics
Kelly McConville, Swarthmore College; Joseph Nolan, Northern Kentucky University; Vittorio Addona, Macalester College; Nathan Tintle, Dordt College; Dennis Pearl, Penn State University
10:55 AM Mentoring Undergraduate Research Students in the Spirit of the Liberal Arts: Adding Depth to Breadth
Vittorio Addona, Macalester College
11:15 AM Implementing a Department-Wide Undergraduate Research Program
Justin Blaise Post, North Carolina State University
11:35 AM Using University Athletic Programs as a Platform for Undergraduate Research
Gilbert Fellingham, Brigham Young University
11:55 AM Finding Undergraduate Research Projects: Pipelines Within a University
Presentation
Emily Griffith, NC State University; Stephany Dunstan, Office of Assessment, North Carolina State University
12:15 PM Floor Discussion
 
 

181
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West Hall B
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
4: Statistical Problem-Solving Cycles While Solving Simulation Tasks During Guided Interviews
Jonathan M Brown, University of Minnesota - Twin Cities; Robert C delMas, University of Minnesota - Twin Cities; Andrew S Zieffler, University of Minnesota - Twin Cities
5: The Difference Two Data Points Can Make
Kirk Anderson, Grand Valley State University; Mary Richardson, Grand Valley State University
6: Engaging Students with Technology
Jeffrey Woo, University of Virginia
7: Creating Custom Take Home Exams for Statistics Courses with R Markdown
Michael Rutter, Penn State Erie, The Behrend College
8: Tools, Resources and Skills for Statistics Distance Learning/Blended Learning
Xiaofang Shi, University of Kentucky
9: Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
 
 

196
Mon, 7/30/2018, 10:30 AM - 11:15 AM CC-West Hall B
SPEED: Teaching Statistics: Strategies and Applications — Contributed Poster Presentations
Section on Statistical Education
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Darlene Olsen, Norwich University
3: The Statistics Workshop: Cultivating Diversity in Statistics
Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
4: Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
5: Shiny Dashboards to Help Students Improve Performance
Robert Carver, Brandeis International Business School
6: A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
7: How Students Make Sense of Data on an E-Learning Platform
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
8: Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses
Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9: The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education
James Pleuss, United States Military Academy
10: A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
11: The Novel Communication Tool: Mathematics Classroom Collaborator (MC2)
Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
12: Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA
14: Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville
15: Affordable and Open Educational Resources (OER) in Statistical Education
Suhwon Lee, Univ of Missouri
16: Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
17: Teaching Statistical Consulting at Primarily Undergraduate Institutions
Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18: Helping All Students Properly Design and Analyze Experiments
Jennifer Broatch, Arizona State University
19: Recreational Statistics at the Junior High/High-School Level
Joy Yang, MIT
20: Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
Oral Presentations for this session.
 
 

212 * !
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education, Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM Version Control: The Gain You Get for Your Pain
Presentation
Jennifer Bryan, RStudio, University of British Columbia
2:25 PM Using Data to Drive Curriculum Development
Presentation
Chester Ivan Ismay, DataCamp
2:45 PM Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Presentation
Alicia A Johnson, Macalester College
3:05 PM Aligning Inference with the Tidyverse: Development of the Infer Package
Presentation 1 Presentation 2
Andrew Paul Bray, Reed College
3:25 PM Streamline Your Class with RStudio
Presentation
Garrett Grolemund, RStudio Inc.
3:45 PM Floor Discussion
 
 

214 * !
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 110
Academic Publication Is Dead, Long Live Academic Publication — Invited Papers
Section on Statistical Computing, Section on Statistical Education
Organizer(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
2:05 PM The Lean Course: Open and Collaborative Online Course Development
Presentation
Sean Kross, The University of California San Diego
2:35 PM Growing a Book in the Open: From Blog Post to O'Reilly Paperback
Julia D Silge, Stack Overflow
3:05 PM Middle Author Dilemma: How to Recognize Critical Contributions of Multidisciplinary Teams
Melissa Gymrek, University of California San Diego
3:35 PM Floor Discussion
 
 

Register 269
Tue, 7/31/2018, 7:00 AM - 8:15 AM CC-West Ballroom D
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Stacey Hancock, Montana State University
TL08: What's for Breakfast? How About Empiricism?
Robert Carver, Brandeis International Business School
 
 

287
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 210
Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics — Topic Contributed Papers
Section on Statistical Education, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Nathan Tintle, Dordt College
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
8:35 AM Assessing Student Improvement in a Multi-Section Coordinated Simulation-Based Curriculum
Stacey Hancock, Montana State University
8:55 AM Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading
Presentation
Erin Blankenship, University of Nebraska
9:15 AM Assessing Students' Strengths and Weaknesses in Simulation-Based Introductory Statistics Courses at the Graduate and Undergraduate Levels
Anelise Sabbag, Cal Poly State University
9:35 AM Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference
Presentation
Nathan Tintle, Dordt College
9:55 AM Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Presentation
Karen McGaughey, Cal Poly State University
10:15 AM Floor Discussion
 
 

295
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 217
Innovative Approaches to Teaching Biostatistics Partially or Fully Online — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Education
Organizer(s): Ann M Brearley, University of Minnesota
Chair(s): Laura J Le, University of Minnesota
8:35 AM Adult Learners , a Flipped Classroom, and an Online Biostatistics Course: a Recipe for Disaster?
Presentation
Martina Mueller, Medical University of South Carolina; Mary Dooley, Medical University of South Carolina
8:55 AM Double Time: Integrating Online Learning Tools with a Flipped Classroom in a Public Health Statistics Course
Presentation
Brandon George, Thomas Jefferson University
9:15 AM Active Learning Approaches for a Large Online Biostatistics Course
Rebecca Andridge, The Ohio State University College of Public Health
9:35 AM Flipping Online: Creating an Active Learning Classroom in an Online Biostatistics Course
Presentation
Ann M Brearley, University of Minnesota; Laura J Le, University of Minnesota
9:55 AM Ideas for Creating and Teaching Online Biostatistics Courses for Those with Limited Resources
Presentation
Michael Jiroutek, Campbell University
10:15 AM Floor Discussion
 
 

348
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 112
Investigations into the Teaching and Learning of Statistics — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Joy Yang, MIT
10:35 AM Developing a Student Survey of Motivational Attitudes Toward Statistics
Presentation
Alana Unfried, California State University, Monterey Bay; Sarah Coffin, California State University, Monterey Bay; April Kerby, Winona State University
10:50 AM The Impact of a Growth Mindset Lecture on Traditional and Non-Traditional Statistics Students' Attitudes, Perceptions, Performance, and Retention
Dr Nandini Bhowmick, Indiana State University; Dr Wendi Benson, Nevada State College
11:05 AM Dynamic Patterns in Student Evaluations of Teaching After Switching from a Traditional to Blended Format
Presentation
James Schmidt, University of Nebraska - Lincoln
11:20 AM Ensemble Learning for Estimating Individualized Treatment Effects in Student Success Studies
Presentation
Richard Levine, San Diego State University; Joshua Beemer, San Diego State University; Juanjuan Fan, San Diego State University
11:35 AM Implementing the HyFlex (Hybrid-Flexible) Model of Course Delivery in a Probability and Statistics Course for Engineers and Scientists
Presentation 1 Presentation 2
Jackie Miller, University of Michigan; Melinda E Baham, Baham Consulting
11:50 AM Concept Maps, Feedback, and Statistics Learning: Exploring the Effects of Expert Map Feedback and Peer Feedback on Concept Map Structure
Terry Hickey, St. Martin's University
12:05 PM Statistics Education Across the University: a Systematic Review
Presentation
Aimee Schwab-McCoy, Creighton University
 
 

380
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 206/207
Bringing Intro Stats into a Multivariate and Data-Rich World — Invited Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Jeff Witmer, Oberlin College
Chair(s): Ann Cannon, Cornell College
2:05 PM Inference in Three Hours, and More Time for the Good Stuff
Presentation
Allen Downey, Olin College of Engineering
2:25 PM Multivariable Thinking with Data Visualization
Presentation
Kari Lock Morgan, Pennsylvania State University
2:45 PM Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Presentation
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
3:05 PM Intro Stats and Intro Data Science: Do We Need Both?
Presentation
Mine Cetinkaya-Rundel, Duke University
3:25 PM Discussant: Jeff Witmer, Oberlin College
3:45 PM Floor Discussion
 
 

404 *
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM Effectively Explaining Statistical Concepts to Researchers from Other Fields
Presentation 1 Presentation 2 Presentation 3
Panelists: Natalie Blades, Brigham Young University
Beth Chance, Cal Poly - San Luis Obispo
Paul Roback, St Olaf College
Heather Smith, Cal Poly
Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM Floor Discussion
 
 

471 *
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM Effective Pedagogy in Large-Enrollment Statistics Courses
Presentation
Matthew D Beckman, Pennsylvania State University
8:55 AM Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
9:15 AM Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley; Ani Adhikari, University of California, Berkeley
9:35 AM Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class
Catherine Case
9:55 AM Discussant: Chris Wild, University of Auckland
10:15 AM Floor Discussion
 
 

496 * !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 215/216
Building a Computing Age #StatisticsCurriculum for Biomedical Scientists — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Learning and Data Science, Section on Statistical Education
Organizer(s): Sujata M Patil, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM A Guide to Teaching Data Science
Presentation
Rafael Irizarry, Harvard University
10:55 AM Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Presentation
Sujata M Patil, Memorial Sloan Kettering Cancer Center; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
11:15 AM Experiences with Teaching Genomic Data Science Online
Kasper Daniel Hansen, Johns Hopkins University
11:35 AM Teaching Statistics to Basic Scientists: #KnowYourAudience
Presentation
Stacey J Winham, Division of Biomedical Statistics and Informatics, Mayo Clinic; Natasa Milic, University of Belgrade; Tracey L Weissgerber, Division of Nephrology and Hypertension, Mayo Clinic
11:55 AM Discussant: Naomi S Altman, Pennsylvania State University
12:15 PM Floor Discussion
 
 

523
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 217
Fresh Approaches to Statistical Pedagogy — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Sybil Nelson
10:35 AM On Assessing Large Sample Properties of Estimators: An Empirical Approach
Presentation
Sadia Sarker, Eastern Michigan University; Khairul Islam, Eastern Michigan University
10:50 AM Extending the Applications of Simulation-Based Approaches in the Teaching of Elementary Statistics
Sherry Hix, University of North Georgia; Dianna Spence, University of North Georgia
11:05 AM Using Simulation Processes to Close the Background Gap Among Students
Presentation
Arturo Valdivia, Indiana University
11:20 AM Early Introduction of Hypothesis Testing in Introductory Statistics: a Pilot Study
Presentation
Wei Wei, Metropolitan State University; Heidi Hulsizer, Benedictine College; Aminul Huq, University of Minnesota Rochester
11:35 AM STEM Storytellers: Improving Graduate Students' Oral Communication Skills
Jennifer L Green, Montana State University; Shannon Willoughby, Montana State University; Brock LaMeres, Montana State University; Bryce Hughes, Montana State University; Leila Sterman, Montana State University; Christopher Organ, Montana State University; Kent Davis, Montana State University
11:50 AM Reflections on 10 Years of Teaching Online
Iain Pardoe, Thompson Rivers University
12:05 PM A Generalized Z Score for Both Symmetric and Asymmetric Distribution
Mian Adnan, Indiana University Bloomington
 
 

558 !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM Teaching Probability via Stories and Mistakes
Presentation
Joseph Blitzstein, Harvard University
2:25 PM A Simulation-Based Approach to Teaching Probability Using the Symbulate Package
Presentation
Kevin J Ross, Cal Poly; Dennis L Sun, Cal Poly and Google
2:45 PM Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
3:05 PM Using Texas Hold 'Em Examples to Teach Probability
Presentation
Frederic Paik Schoenberg, UCLA
3:25 PM Discussant: Amy Wagaman, Amherst College
3:45 PM Floor Discussion
 
 

560 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator
Richard De Veaux, Williams College
2:25 PM Data for Good: Staying Sharp While Giving Back
David Corliss, Peace-Work
2:45 PM An Old Dog Self-Teaching New Tricks
Presentation
Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM Project Redux: If I Knew Then What I Know Now
Presentation
Mary J Kwasny, Northwestern University
3:25 PM Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM Floor Discussion
 
 

216529
Wed, 8/1/2018, 6:00 PM - 7:30 PM F-Cheakamus
Section on Statistical Education Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
 
 

624 !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 210
GAISEing into Introductory Service Courses in Light of Analytics/Data Science — Topic Contributed Panel
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Amy L Phelps, Duquesne University
Chair(s): John Draper, The Ohio State University
8:30 AM GAISEing into Introductory Service Courses in Light of Analytics/Data Science
Presentation
Panelists: Amy L Phelps, Duquesne University
Beverly Wood, Embry-Riddle Aeronautical University, Worldwide
Mark Eakin, University of Texas Arlington
Mia Stephens, SAS Istitute, JMP Division
George Recck, Babson College
10:10 AM Floor Discussion
 
 

651 * !
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 203
Expanding the Tent: Undergraduate Majors in Data Science — Invited Papers
Section on Statistical Education, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Ben Baumer, Smith College
Chair(s): Ben Baumer, Smith College
10:35 AM Dismantling Math, Stats, and CS Silos: PCMI Guidelines for Undergraduate Majors in Data Science
Presentation
Albert Y. Kim, Smith College
10:50 AM Pathways Through the Major in Statistical and Data Science at Smith
Presentation
Randi L. Garcia, Smith College
11:05 AM Herding Cats: Pros and Cons of a Large-Team Approach to Data Science at a Major Research University
David Hunter, Penn State University
11:20 AM Designing a Group Major in Data Science
Deborah Nolan, University of California, Berkeley
11:35 AM Discussant: Joseph Blitzstein, Harvard University
11:50 AM Discussant: Mine Cetinkaya-Rundel, Duke University
12:05 PM Floor Discussion