eCOTS 2016 - Program


All times listed below are in Eastern Daylight Time (GMT -4:00).

Monday, May 16th

10:00 - 11:00 a.m.Poster Session A
11:00 - 12:00 p.m.Keynote:
Changing everything at once: Student-centered Learning, computerized practice exercises, evaluation of student progress, and a modern syllabus to create a completely new introductory statistics course
with Andrew Gelman
12:15 - 2:15 p.m.Breakout Sessions: Getting Started – Changing with Technology
12:15 - 12:45 p.m.GAISEing into the NEW Guidelines
with Robert Carver, Megan Mocko, Jeff Witmer and Beverly Wood
1:00 - 1:30 p.m.Changing with technology to facilitate learning: Ideas for using technology to find new ways to help students to achieve learning outcomes
with Bethany White and Alison Gibbs
1:45 - 2:15 p.m.Technology-Based Statistics with Limited Technology
with Brooke Orosz
2:30 - 5:15 p.m.Breakout Sessions: Teaching a Flipped or Blended Course
2:30 - 3:00 p.m.What I wish I had known when I flipped a course!
with Adam Sullivan
3:15 - 3:45 p.m.In-class Activities and Out-of-class Videos with Embedded Quizzes Encourage Student Engagement
with Ginger Holmes Rowell, Lisa Green, Nancy McCormick and Scott McDaniel
4:00 - 4:30 p.m.Blended Learning in Intermediate Applied Statistics
with Cassandra Pattanayak
4:45 - 5:15 p.m.How Do You FlipIt?: A New Project and Platform for Introductory Statistics, from WH Freeman/Macmillan Learning
with W.H. Freeman
5:15 - 6:15 p.m.Poster Session A

Tuesday, May 17th

10:00 - 11:00 a.m.Poster Session B
11:00 - 12:45 p.m.Workshop:
Teaching the Statistical Investigation Process with Simulation-Based Inference
with Nathan Tintle and Beth Chance
1:00 - 2:00 p.m.Panel:
Teaching a Flipped or Blended Course
with Alison Gibbs, Scott McDaniel, Cassandra Pattanayak, and Adam Sullivan
2:15 - 5:00 p.m.Breakout Sessions: Teaching with R
2:15 - 2:45 p.m.Technology lowering barriers: get started with R at the snap of a finger
with Mine Cetinkaya-Rundel and Nicholas Horton
3:00 - 3:30 p.m.Less Volume, More Creativity – Getting Started Teaching with R
with Randall Pruim and Nicholas Horton
3:45 - 4:15 p.m.Notebooks with R Markdown
with JJ Allaire
4:30 - 5:00 p.m.Lowering the barriers to inclusive, collaborative, reproducible analyses
with Chester Ismay and Andrew Bray
5:00 - 6:00 p.m.Poster Session B

Wednesday, May 18th

10:00 - 11:00 a.m.Poster Session C
11:00 - 12:45 p.m.Workshop:
Disseminating Passion-Driven Statistics: Instructor experiences and strategies for implementing a project-based introductory course
with Kristin Woods and Lisa Dierker
1:00 - 1:45 p.m.Panel:
Teaching with Technology: Free and Simple
with Sasha Friedman, Brooke Orosz, Matt Teachout, and Doug Tyson
2:00 - 2:45 p.m.Panel:
Teaching with R: Free and Extendable
with JJ Allaire, Mine Cetinkaya-Rundel, Chester Ismay, and Randall Pruim
3:00 - 5:00 p.m.Breakout Sessions: Teaching with Simulation-Based Inference
3:00 - 3:30 p.m.Simulation-Based Inference: Beyond a Two-Sample Test
with Robin Lock
3:45 - 4:15 p.m.Simulation-based inference after Stat 101
with Nathan Tintle and Beth Chance
4:30 - 5:00 p.m.Using Bootstrapping to Teach Statistical Concepts
with Minitab
5:00 - 6:00 p.m.Poster Session C

Thursday, May 19th

10:00 - 11:00 a.m.Poster Session D
11:00 - 12:45 p.m.Workshop:
Using and Creating On-line Materials to Flip the Introductory Statistics Classroom
with Lisa Green, Scott McDaniel, Nancy McCormick and Ginger Holmes Rowell
1:00 - 2:00 p.m.Keynote:
Computational Thinking and Inferential Thinking: Foundations of Data Science
with Michael Jordan
2:15 - 5:00 p.m.Breakout Sessions: Technology for Teaching
2:15 - 2:45 p.m.Prospective Teachers' Use of Dynamic Statistics Software
with Randall Groth
3:00 - 3:30 p.m.Potential contributions of an online formative feedback tool to enhance conceptual understanding of ANOVA
with Sait Atas, David Trumpower and Mehmet Filiz
3:45 - 4:15 p.m.Assessment at scale: challenges and opportunities in assessment in large and small statistics courses
with Julian L Parris
4:30 - 5:00 p.m.Engaging Students in Statistical Discovery with JMP Software
with JMP
5:00 - 6:00 p.m.Poster Session D

Friday, May 20th

11:00 - 12:00 p.m.Panel:
Teaching with Simulation-Based Inference
with Nicola Justice, Robin Lock, Allan Rossman, and Chris Wild
12:00 - 2:00 p.m.Regional Conferences & Birds-of-a-Feather Discussions
12:00 - 12:30 p.m.Teaching with Simulation-Based Inference
12:30 - 1:00 p.m.Teaching a Flipped or Blended Course
1:00 - 1:30 p.m.Teaching with Technology: Free and Simple
1:30 - 2:00 p.m.Teaching with R and RStudio
with Randall Pruim and Nicholas Horton
2:00 - 3:00 p.m.Panel:
Teaching Data Science
with Nicholas Horton, Jeff Leek, Deb Nolan, and Hunter Glanz
3:00 - 5:00 p.m.Regional Conferences & Birds-of-a-Feather Discussions
3:00 - 3:30 p.m.Teaching Data Science
3:30 - 4:00 p.m.Using Technology to Promote Engagement in Online Statistics Courses
with Stacy Bjorkman, Meredith L McKee, Jane Oppenlander and Phylise Banner
4:00 - 4:30 p.m.Beyond the Introductory Course: Strategies for a Second Course in Statistics
with Shonda Kuiper and Robin Lock
4:30 - 5:00 p.m.Toward Statistician Identity Achievement
with Kay Endriss

 

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