Boosting Data Science Teaching and Learning in STEM is a project that seeks to improve teachers’ and students’ “data fluency,” which includes understanding sources of data, structuring data for analysis, interpreting representations of data, inferring meaning from data, and explaining data and findings to diverse audiences.
This project is funded by the National Science Foundation (NSF) and brings together WestEd and their proven Making Sense of SCIENCE teacher professional learning model and The Concord Consortium with their open-source, user-friendly Common Online Data Analysis Platform (CODAP) learning tool.
The goals of the project include the creation of teacher professional learning modules that engage middle school teachers in data-rich learning, along with cases of classroom practice that illustrate teaching and learning progressions in data science for middle school students.
The project will also have a strong research focus which will clearly articulate the knowledge and skills teachers require to support students in achieving data fluency in mathematics, science, and computer science in grades 5–9, the common roadblocks that students face as they progress toward data fluency, and an effective model of professional learning that supports teacher and student data fluency.
Project Timeline
WestEd is looking for math & science teachers in grades 6–9 to participate in a Data Fluency Professional Learning event and associated research activities.
Who:
Math and science teachers, grades 6–9, who have at least one year of experience and anticipate teaching at least one math or science course at these grades in the upcoming school year. Public, private, and charter school teachers are welcome.
When:
- Professional Learning is June 6–9, 2023
- Communities of Practice is during the school year
Where:
North Central Valley Location near Manteca.
Project Details
Summer 2021– Winter 2024
Project Contact
Director