Education and Inequality: Big Data for Large-Scale Problems (EDUC 107, EDUC 207, SOC 205)

3 credits · Undergraduate

In this course, students will use data from the Stanford Education Data Archive (SEDA) to study the patterns, causes, consequences, and remedies of educational inequality in the US. SEDA is based on 200 million test score records, administrative data, and census data from every public school, school district, and community in the US. The course will include lectures, discussion, and small group research projects using SEDA and other data.