The Statistics Debate II: Teaching Statistics vs. Data Science in Grades K-12?

Wednesday, May 19, 2021 11:00 am - 12:45 pm ET

Teaching Statistics vs. Data Science in Grades K-12?

Where do YOU stand?

How to define statistics education and data science education in grades K-12? Statistics or data science? 

Is statistics and data science education too ambitious a goal to pursue in grades K-12, for both the students and teachers? 

Has K-12 statistics and data science education been successful so far? By what measures? 

Can data sense, or data acumen, be trained well at K-12 or even younger? Are there any unique challenges and benefits of developing data acumen in K-12? 

Small datasets or big data for teaching and practice at this level? 

If you are intrigued by these questions and have an interest in how these questions might be answered - one way of the other – then this is the event for you!

Want to get a sense of the thinking behind the practicality (or not) of various educational approaches?  Interested in hearing both sides of the story – during the same session!?  

This event will be held in a debate type of format. The participants will be given selected questions ahead of time so they have a chance to think about their responses, but this is intended to be much less of a presentation and more of a give and take between the debaters.

So – let’s have fun with this!  The best way to find out what happens is to register and attend!

Debate Host 

Piaomu Liu (Bentley University)

Participants

Anna Bargagliotti (Loyola Marymount University) 
Christine Franklin (University of Georgia)
Rob Gould (University of California, Los Angeles)

Register for this Event Here!

Event Type

Host

National Institute of Statistical Sciences

Sponsor

National Institute of Statistical Sciences

Cost

Registration is free!

Location

Online Webinar Debate
Moderator: Piaomu Liu (Bentley)  Participants: Anna Bargagliotti (Loyola Marymount University), Christine Franklin (University of Georgia) and Rob Gould (UCLA).