> Models for schools, districts, and states
There are many implementation models through which individual schools, school districts, or entire states can integrate data science into K-12 education. Many stakeholders have already developed curricula and lesson plans for K-12 data science, or are actively working to do so.
Explore three possible models below. Many have already been adopted by schools and districts, and some will be soon by entire states.
1-Year Elective Course
> Model: an elective course dedicated to teaching the basics of data science.
> Case study: Los Angeles Unified School District (LAUSD) launch a course with the IDS curriculum in 2014. 3,200 students across 51 schools in Southern California enrolled in the 2020-21 school year. The course is also approved as a "C" course in the University of California A-G requirements, and validates the Algebra II requirement.
> Model: Various options including a pathways model where data science becomes one available high school math pathway, or Merge & Purge where the traditional math sequence condenses Geometry and Algebra II into a semester courses and integrates a full year of topics in data science, statistics, and mathematical modeling.
Partnered with districts in Georgia, Texas, and Washington on pilot pathways projects.
Proposing a 2+1 model with 2 credits of core math plus one credit of student choice, including data science options.
Partnered with Khan Lab School to pilot a merge and purge model.
Across the Curriculum
> Model: data science modules are incorporated across social studies, business and other courses.
> Case study: NYC Schools has developed a Blueprint for Computer Science Education that includes an emphasis on data science. The district offers schools flexible implementation models including standalone courses and units that can be used integrated across disciplines.