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K-12 IMPLEMENTATION MODELS

> 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. Hear from students who've participated in a data science pilot program here.

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Elective Course

A semester- or year-long elective or Career & Technical Education course.

Elective Course
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Mathematics Curriculum

Various models across the K-12 math curriculum, including pathways and Merge & Purge.

Mathematics Curriculum
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Across the Curriculum

Data science modules incorporated across social studies, business, and other content areas. 

Across the Curriculum
Models Overview
Elective

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. 

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