Let's Keep it Real: Real Teaching with Real Data
Give your students authentic data science experiences by working with real NC State research data from the Center for Human Health and the Environment. This workshop will guide you through best data practices and how to train your students to work with messy data. Learn how data-infused lessons can enrich your content and increase student engagement. This workshop is designed for grades 8-12 and will focus on PFAS water contamination, but we will look at other CHHE datasets and learn how to apply best data practices to any dataset or lesson.

This workshop is accepting 15 participants based on the applications submitted. Registration will close March 1, 2024 to allow for the committee to review applications and reach out to those accepted into the workshops. If you have any questions, please contact Taryn Shelton, tshelto3@ncsu.edu. If you cannot attend the date and time listed, please do not submit an application for this workshop. 

Date/Time: Saturday, March 16, 2024 from 9am to 4pm
Location: The Science House, Cherry Bldg, 715 Barbour Dr, Raleigh, NC 27606
Email *
First and Last Name *
School Name *
School District *
Grade Level *
Please list the grades you are currently teaching. If you are a pre-service teacher, please indicate that you are studying education at this time. 
Subject you teach *
Please list all subject areas if you teach more than one. If you are a pre-service teacher, please indicate that you are studying education at this time. 
What are you hoping to gain from this experience? *
In what ways do you hope we can connect the content from this workshop to your content standards?  *
How do you envision using the information and resources presented at this workshops? *
How Familiar are you with PFAS contamination?  *
Do you have any dietary restrictions or food allergies?  *
Food will be served at the event. Please let us know any restrictions you may have as we plan the menu. 
Would you like to receive the Data Science Academy's Quarterly Newsletter?  *
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