The National Academies of Sciences, Engineering, and Medicine will convene a public workshop on the Foundations of Data Science for Students in Grades K-12. The workshop will explore the questions, such as the following:

Goals and outcomes

• What outcomes matter the most for learners in data science?
• What competencies make up data fluency?
• How can these data fluency competencies be measured?

Tools and instruction

• What kinds of learning experiences might help bring about these data fluency competencies?
• What tools and data sets are needed to support young learners in acquiring data understanding and skills?
• How can K-12 data science education be designed to specifically reach students who have been traditionally marginalized and/or underrepresented in STEM?

Integrating datascience into the K-12 system

• How can learning with data be meaningfully integrated with K–12 education, in both STEM and non-STEM classes?
• How well prepared is the current teacher workforce for teaching data science-related content in K-12 settings? What strategies can be used to enhance teachers’ expertise related to data science?

The evidence base and future directions

• What bodies of research can be leveraged to gain insight on the development of data fluency and how best to support students?
• What are the critical gaps in the current knowledge base?
• What are the highest priority next steps for research and practice?

The workshop planning committee will refine the specific topics to be addressed, develop the agenda, and select and invite speakers and other participants. After the workshop, a proceedings of a workshop will be prepared by a designated rapporteur in accordance with institutional guidelines.