Building Data Literacy Through the Arts
This NSF-funded cross-institutional project explores the value of arts-integrated instruction for promoting middle school students' data literacy.
View an overview at the 2022 STEM for All Video Showcase!
We partnered with middle school art and math teachers to engage students in exploring personally and socially relevant issues through data and art, including dance, comics, photography, and mixed media.
The videos below summarize our experiences and preliminary insights from the 2020-2021 school year, which we used to iterate on our designs in 2021-2022.
You are invited to share your thoughts on any or all of these projects. Please add comments directly to the slides linked below each video, or email Camillia Matuk.
Lesson plans
Making DataMemes (led by Co-PI Ralph Vacca) and Data Stories Street Photography (led by PhD student, Anna Amato) are two middle school lesson plans based on our DLTA work. They received honorable mentions in the Data Science for Everyone (DS4E) Coalition's Bite-Sized Data Science Lesson Plan Competition. They are now publicly available alongside many other notable data science lesson plans.