Data Clubs: Engaging Middle School Youth in Data Science (2020)
Description
Data are the currency of the current era, yet most youth have not had the opportunity to develop the skills that allow them to deal productively and powerfully with data. Being “data fluent” is critical for both work and life, but data science is largely not taught at school, so informal settings are essential for filling this gap. Our project explores how we can make data science accessible to middle school youth through developing data clubs modules that are delivered in after-school programs and summer camps. Through choosing topics of interest to youth and using a highly accessible and free data analysis program, we have been able to successfully involve participants in meaty data analysis practices.
Other team members: Ada Ren-Mitchell, MIT Media Lab; Jan Mokros, Tumblehome Learning; Jacob Sagrans, Tumblehome Learning; Meggie Harvey, Gulf of Maine Research Institute.
NSF Awards: 1742255
We would love to learn more about how your work and ours might intersect. Where are youth in your own classes/programs/projects engaging with real-world data? What supports would you like to see for developing data literacy and empowering youth as they engage with real-world data?
I really like how this program makes data accessible to students by finding the topics that are of most interest to them. Presented in this way, I imagine that it creates natural excitement and engagement in ways that I’m sure leaves them wanting to learn more. Thank you for sharing this work!