Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Education returned 86 record(s)
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Sunday, 07/31/2016
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Distinguishing Between Statistics Education for Undergraduate and Graduate Nonstatistics Major Students
Matthew J. Hayat, Georgia State University; Michael Jiroutek, Campbell University; MyoungJin Kim, Illinois State University; Todd Schwartz, The University of North Carolina at Chapel Hill
2:00 PM
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Thinking with Data Using R and RStudio: Powerful Idioms for Analysts
Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College; Daniel Kaplan, Macalester College
4:05 PM
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Flipping an Introduction to Applied Statistics Course for Mathematics Teacher Candidates
Ananda Jayawardhana, Pittsburg State University
4:05 PM
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Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing
Abhisek Saha, University of Connecticut; Xiaojing Wang, University of Connecticut; Dipak Dey, University of Connecticut
4:05 PM
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Investigating the HyFlex (Hybrid-Flexible) Model of Course Delivery in an Introductory Statistics Course
Jackie Bryce Miller, University of Michigan
5:05 PM
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Mary Worth Teaches Statistics via Scripting
James J. Cochran, University of Alabama
5:35 PM
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Monday, 08/01/2016
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In the Shadow of the Great Recession: Experience and Perspectives of Young Workers
Barbara J. Robles, Federal Reserve Board; Heidi Kaplan, Federal Reserve Board
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Teaching Statistical Collaboration
Eric Vance, Laboratory for Interdisciplinary Statistical Analysis
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LISA 2020: Educating Statistical Collaborators
James Rosenberger, Penn State University; Eric Vance, Laboratory for Interdisciplinary Statistical Analysis
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Specifications Grading in a Statistics Course
Eric Reyes, Rose-Hulman Institute of Technology
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How to Integrate Open-Access and Open-Source Educational Materials
Andrew Bray, Reed College; Mine Cetinkaya-Rundel, Duke University
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The Evaluation of a Pedagogical Tool for Quantitative Literacy
Gerald Iacullo, Berkeley College
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Multiple Regression Replaces the Need for a Tailor
Allison Davidson, Muhlenberg College
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Using Introduction to Statistics Courses to Teach Quantitative Literacy
Cathy Poliak, University of Houston
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Incorporating Big Data into an Introductory Statistics Course
Paul Stephenson, Grand Valley State University; Laura Kapitula, Grand Valley State University
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Are Volcanic Eruptions Increasing? An Example of Teaching Data Wrangling and Visualization in Stat 2
Kelly McConville, Swarthmore College
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Augsburg Student Evaluations of STAT 102: Social Statistics for Decision Makers
Milo Schield, Augsburg College
8:50 AM
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Problems with P-Value Reform: Who Can We Blame?
Regina Nuzzo, Gallaudet University
8:55 AM
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Effect Size Really Does Matter
Jeffrey Witmer, Oberlin College
9:20 AM
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E-Learning Data Analysis for Building a Personalized Recommendation System
Shuang Liu; K.F. LAM, The University of Hong Kong
9:50 AM
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The Importance of Long-Term Retention: Preparing Students for the Workforce, Not Just for Our Tests
Michael Posner, Villanova University; Meghan Buckley, Villanova University
10:05 AM
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The Results of Blended Instruction in Quantitative Methods in Public Health: A Pilot Study
Adam Sullivan, Brown University; Marcello Pagano, Harvard
10:35 AM
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Using Introduction to Statistics Courses to Teach Quantitative Literacy
Cathy Poliak, University of Houston
10:45 AM
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Project SCHOLAR: Statistical Consulting Experiences for Undergraduates
Tracy Morris, University of Central Oklahoma; Lance Ford, University of Central Oklahoma
10:50 AM
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Incorporating Big Data into an Introductory Statistics Course
Paul Stephenson, Grand Valley State University; Laura Kapitula, Grand Valley State University
10:50 AM
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Multiple Regression Replaces the Need for a Tailor
Allison Davidson, Muhlenberg College
11:15 AM
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A Cross-Discipline Modeling Capstone Experience
Marian Frazier, Gustavus Adolphus College; Thomas LoFaro, Gustavus Adolphus College
11:20 AM
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Co-Teaching a Research Design Course to Clinicians
Amy Laird, Oregon Health & Science University
11:35 AM
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Spatial Data Analysis: An Elective Course for Advanced Undergraduates
Laura Boehm Vock, Gustavus Adolphus College
11:35 AM
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Biostatistics Training of Medical Students Through Their Own Research
Constantine Daskalakis, Thomas Jefferson University
11:55 AM
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Are Volcanic Eruptions Increasing? An Example of Teaching Data Wrangling and Visualization in Stat 2
Kelly McConville, Swarthmore College
12:05 PM
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Professional Opportunities at Smaller Colleges and Universities
KB Boomer, Bucknell University; Douglas Andrews, Wittenberg University; Monika Hu, Vassar University; Adam Loy, Lawrence University; Eric Reyes, Rose-Hulman Institute of Technology
2:00 PM
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Teaching a Large Introductory Course: Making It Work!
Megan Mocko, University of Florida; Stacey Hancock, University of California at Irvine; Christopher Wild, University of Auckland; Brenda Gunderson, University of Michigan
2:05 PM
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Motivated Student Engagement in an Online Biostatistics Course
Wei Zhuang, Creighton University
2:05 PM
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Didactic Exercises for Teaching Meta-Analysis to Students in the Health Sciences
Deborah Dawson, University of Iowa
2:35 PM
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Tuesday, 08/02/2016
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Practical Considerations for Teaching Statistics in a Hybrid, Flipped, or Online Format
Jane Monaco, The University of North Carolina Gillings School of Global Public Health; Todd Schwartz, The University of North Carolina at Chapel Hill
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Utilizing Technology Tools Without Detracting Focus from Statistical Concepts
Jennifer Daddysman, University of Kentucky
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Data Science: Bridging Academia and Industry
Justin Dyer, Google; Donal McMahon, Google
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Increasing Awareness of Careers and an Education in Biostatistics Among Quantitatively Talented Under-Represented High-School Students
Mallorie Fiero, University of Arizona; Kevin Doubleday, University of Arizona; Grant Schissler, University of Arizona; Joseph Watkins, University of Arizona; Melanie L. Bell, University of Arizona
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On the Optimality of Sliced Inverse Regression in High Dimensions
Qian Lin, Harvard; Xinran Li, Harvard; Jun S. Liu, Harvard
8:35 AM
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If You Build It, They Will Come: Wisdom Gained and Lessons Learned from a Five-Year NSF Training Grant
Rebecca Nugent, Carnegie Mellon University; Chad Schafer, Carnegie Mellon University
8:50 AM
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Addressing Challenges to Implementing Active Learning for All Sections of Introductory Statistics at a Large University
Ginger Rowell, Middle Tennessee State University; Lisa Holmes Green, Middle Tennessee State University; Nancy Holmes McCormick, Middle Tennessee State University; Scott Holmes McDaniel, Middle Tennessee State University; Jeremy Holmes Strayer, Middle Tennessee State University
9:05 AM
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Introductory Statistics: Preparing In-Service Middle-Level Mathematics Teachers for Classroom Research
Jennifer Green, Montana State University; April T. Kerby, Winona State University; Erin E. Blankenship, University of Nebraska - Lincoln; Kendra K. Schmid, University of Nebraska Medical Center; Wendy M. Smith, University of Nebraska - Lincoln
9:35 AM
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Learning Communities: An Emerging Platform for Research in Statistics
Mark Daniel Ward, Purdue University
11:00 AM
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Increasing Awareness of Careers and an Education in Biostatistics Among Quantitatively Talented Under-Represented High-School Students
Mallorie Fiero, University of Arizona; Kevin Doubleday, University of Arizona; Grant Schissler, University of Arizona; Joseph Watkins, University of Arizona; Melanie L. Bell, University of Arizona
11:15 AM
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The ASA DataFest: Learning by Doing
Robert Gould, University of California at Los Angeles
11:25 AM
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Ethical Reasoning with the 2016 Revised ASA Ethical Guidelines for Statistical Practice
Nilupa Gunaratna, Harvard T.H. Chan School of Public Health
11:35 AM
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Statistical Computing as an Introduction to Data Science
Colin Rundel, Duke University
11:50 AM
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Traditional vs. Simulation-Based: Curricula Comparison in a Small-Scale Educational Experiment
Karsten Maurer, Miami University; Dennis Lock, Miami Dolphins
2:05 PM
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Using a Journal Club to Review and Reinforce Concepts for Medical Researchers
Brian Healy, Massachusetts General Hospital; Amy Shui, Massachusetts General Hospital
2:35 PM
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Wednesday, 08/03/2016
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Teaching Bayesian Statistics to Undergraduates
Jeffrey Witmer, Oberlin College
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Improving Retention in an Online Introductory Statistics Course
Whitney Zimmerman, Penn State University; Glenn Johnson, Penn State University
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Modern Teaching Methods for Graduate Statistics Courses
Jana Anderson, Colorado State University
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Lexical Ambiguity in Statistics: The Development of High-Impact, Little-Time Activities to Help Students Better Understand the Meaning of Parameter
Neal Rogness, Grand Valley State University; Jennifer Kaplan, University of Georgia; Diane Fisher, University of Louisiana at Lafayette
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Training Statisticians to Be Effective Instructors
Jennifer Kaplan, University of Georgia
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Perception and Deception: What Students Assume About an Introductory Business Statistics Course
Deborah Gougeon, University of Scranton
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Knowledge and Understanding of Biostatistics Among Sports and Exercise Medicine Professionals
Abdulaziz Farooq, Aspetar-Orthopaedic and Sports Medicine Hospital
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Creating a Course on Statistical Learning
Sam Behseta, California State University at Fullerton
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RepASA: A Virtual Repository to Improve Statistics Teaching in High Schools in Puerto Rico
Pedro Torres-Saavedra, University of Puerto Rico at Mayaguez; Roberto Rivera, University of Puerto Rico at Mayaguez
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The Vocabulary Knowledge of Introductory Statistics Students and Its Relationship to Conceptual Understanding
Amy Froelich, Iowa State University
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Tell Me About the ROSA Symposium 2016
Marjorie Bond, Monmouth College
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Data Visualization of Science Test Score Distribution Across Districts
Leila Jamoosian; Kathryn Hayes , California State University at East Bay; Eric Suess, California State University at East Bay
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STAT-MAPS: A Matrix-Based Electronic Learning Tool for Beginning Statistics Students
Concetta DePaolo, Indiana State University
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Access and Explore NCES Survey and Administrative Data Through Self-Guided Online Training Modules
Andrew A. White, National Center for Education Statistics
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Statistical Models of Faculty Retention: Logistic Regression, COACHE, and Support Mechanisms
Mack Shelley, Iowa State University; LIsa Larson, Iowa State University; Sandra Gahn, Iowa State University; Diane Rover, Iowa State University; Beate Schmittmann, Iowa State University; Megan Heitmann, Iowa State University
8:35 AM
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Optimal Multilevel Matching Using Network Flows: An Application to a Summer Reading Intervention
Luke Keele, Penn State University; Samuel D. Pimentel, University of Pennsylvania
9:20 AM
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Using Empirical Bayes Residual Estimates to Identify Effective Schools
D. Betsy McCoach, University of Connecticut; M. Shane Tutweiler, University of Connecticut; Rashea Hamilton, University of Connecticut
9:35 AM
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Access and Explore NCES Survey and Administrative Data Through Self-Guided Online Training Modules
Andrew A. White, National Center for Education Statistics
9:40 AM
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Development of a Record Linkage System for Analysis of Education Data
Mark Krzeminski, Statistics Canada; Kim Bornais, Statistics Canada; Dany Faucher, Statistics Canada; Carole Morin, Statistics Canada; Martin Pantel, Statistics Canada
9:50 AM
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Data Science Education
Constantine Gatsonis, Brown University; Alfred Hero, University of Michigan; John Lafferty, The University of Chicago; Raghu Ramakrishnan, Microsoft
10:35 AM
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Longitudinal Latent Space Network Model with VAR Evolution
Samrachana Adhikari, Carnegie Mellon University; Brian W. Junker, Carnegie Mellon University
11:25 AM
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Propensity Score Matching Using Random Forest in Educational Data Mining Problems
Richard Levine, San Diego State University
2:05 PM
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Fired from School: Evaluating Health Risk Factors Among Young Adults After High-School Suspension Using Matched Sampling and Causal Mediation Methods
Janet Rosenbaum
2:20 PM
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The Influences of a Student's Race and Sex on Confidence and Performance in Introductory Statistics
Cindy Van Es, Cornell University; Michelle Weaver, Cornell University
2:50 PM
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Determining the Nesting Structure for Hierarchical Models Fitted to Education Data
Ulrike Genschel, Iowa State University; Jillian Downey, Iowa State University; Mark Kaiser, Iowa State University
3:05 PM
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Evaluation Transition: Comparing RealVAMS and Current Value-Added Models
Jennifer Broatch, Arizona State University; Jennifer Green, Montana State University
3:20 PM
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Thursday, 08/04/2016
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A Data Visualization Course for Undergraduate Data Science Students
Silas Bergen, Winona State University
8:50 AM
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Intro Stats for Future Data Scientists
Brianna Heggeseth, Williams College; Richard De Veaux, Williams College
9:05 AM
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Modernizing an Undergraduate Multivariate Statistics Class
David Hitchcock, University of South Carolina; Xiaoyan Lin, University of South Carolina; Brian Habing, University of South Carolina
9:35 AM
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Business Analytics and Implications for Applied Statistics Education
Samuel Woolford, Bentley University
9:50 AM
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DataSurfing on the World Wide Web: Part 2
Robin Lock, St. Lawrence University
10:05 AM
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I Was a Statistician Before I Was a Pharmacometrician, I Swear!
Kevin Dykstra, Qpharmetra
10:35 AM
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Cross-Disciplinary Minor in Data Science: A New Paradigm for Partnership Across Disciplines
Andrew Schaffner, Cal Poly; Alexander Dekhtyar, Cal Poly
10:55 AM
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Statistics for Nonstatisticians: A Mixed Bag Is Better Than a String Bag
Felicity Enders, Mayo Clinic
10:55 AM
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Using Student Test Scores for Teacher Evaluations: The Pros and Cons of Student Growth Percentiles
J.R. Lockwood, Educational Testing Service; Katherine E. Castellano, Educational Testing Service; Daniel F. McCaffrey, Educational Testing Service
11:25 AM
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The Best of Two Worlds: Collaborative Assessment and Two-Stage Testing
Anne Michele Millar, Mount Saint Vincent University
11:35 AM
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