USCOTS 2023 SCORE Breakout Session
09:30 Welcome
- Introductions
- Session webpage https://iramler.github.io/uscots2023_score/
- Useful Tech for Session
- Internet access
- Statistical Software (e.g., R, Minitab, etc.)
09:35 Score (with Data) Network Overview
Goal: Create a national network for developing and disseminating Sports Content for Outreach, Research, and Education in data science and statistics.
Description: This four-year collaborative effort will create a network of educators and 50+ partners from sports teams and industry experts across the country to develop authentic curricular modules to introduce data science and statistics topics via sports applications.
Funding Acknowledgement: NSF Award #2142705. Building a sustainable national network for developing and disseminating Sports Content for Outreach, Research, and Education in data science.
Team: The 2023 Roster
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- Main page to get access to modules, submit your own, and contact the team.
- Data Github repository
- Curates interesting datasets across a variety of sports for use in statistics and data science education. Includes:
Social Media
09:45 Example SCORE modules
Module Overview
- Required Elements
- Motivating sports question(s)
- Data (with documentation)
- Statistics/Data Science learning goals
- Methods/topics needed to address the question(s)
- Activities/Exercises/Assessments
- Wrap-up
- Optional Elements
- Motivating video
- ISLE activity
- Sample (editable) activity handouts
- Background material on stat/data science topics
- Sample assessment items
- Instructor notes and/or solutions
- Required Elements
Details available in the Module Author Handbook
Ironman module
- Module is available on ISLE
- Break into small groups and work through handout
- A few things to consider while working on it
- How would you use this with your students?
- What other info would you like as part of the module?
- What would you modify to fit your teaching style?
- Regroup to discuss
Other modules: Break into groups based on interest
- Interactive ISLE Based
- Stolen Bases (ISLE): Testing for Normality
- Marathon (ISLE): Modeling random occurrence (using Exponential distribution)
- Unbreakable Records in Baseball: Bernoulli trial, Binomial Experiments, and Chi-Square tests
- In-progress modules
- Lacrosse: PLL vs NLL: Difference in means
- League of Legends: Outlier detection
- PGA: Correlations
- No/low tech version
- Statistical Software required (e.g., Minitab, SPSS, R, etc.)
- NCAA Div I Softball: Joining/Merging Data Tables
- dplyr based (tech - “Using R” or low tech - “sketch by hand”)
- SQL (sqlite or duckdb) also available
- Interactive ISLE Based
10:30 Joining the Network as a contributor
- Content Creator and/or Reviewer
- Submitting a module or idea for a module
- Review Process
- Coaches are members of the SCORE Network who have extensive experience developing and review modules and can shephard creators through the process of going from ideal to module.
- Involving students
- St. Lawrence University approach
- 0.25 unit course: approximately 2 - 4 students per faculty member, 1 - 2 hour load per week (for students)
- Use GitHub to store “in progress” (but usable) modules until they are ready to be submitted.
- Summer research students to polish existing and create new content.
- St. Lawrence University approach
10:40 Wrap-up
- Want to see us again?
- Birds of a Feather: Saturday, 12:00 pm - 1:00 pm (hosted by Robin Lock)
- Mathfest
- JSM
- Signup sheet to be on email list for network