Data Science for Maine Students
Data Science is a dynamic discipline relevant to today’s world! These Data Science modules are designed to integrate all students with their communities through data science. The Data Science process requires all students to formulate statistical investigative questions, collect and consider the data, analyze the information, then interpret and communicate the findings.
Teachers from all over the state of Maine collaboratively built five developmentally appropriate learning modules that increase in complexity. These modules are interdisciplinary, meaning they embed a variety of disciplines into the data science process: math, the arts, humanities, and sciences. Modules in the Data Science Learning Progression answer the following guiding question: How can I use data science to understand, describe, and improve my world?
The Data Science Learning Progression
Before building the modules a team of Maine teachers collectively studied data science to develop a collective understanding. Then, teachers developed a learning progression of essential knowledge and critical skills students would need at each grade-span in order to be successful as data scientists. This work was largely informed by Stanford University’s Big Ideas.