EDUC 231A: Curriculum and Instruction Elective in Data Science, Teaching Data Science in Secondary School Syllabus

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Abstract/Contents

Abstract: Syllabus for course in Stanford Teacher Education Program (STEP) to prepare secondary teachers in all subject areas (math, science, computer science, history, social studies, art, language arts) to integrate and teach about data science. Topics include overview of current techniques used by professional data scientists, ethics, bias, privacy, standalone data science curricula, data science and social studies integration, data science and science integration, data science and arts education integration, educational platforms for teaching with data, fundamental ideas about how students think about data, and guidance for teachers in selecting data

Author	Lee, Victor R.

Subject	data science
Subject	high school data science
Subject	data science education
Subject	data science teacher education
Subject	teacher education
Subject	Stanford Graduate School of Education
Subject	Stanford Data Science
Subject	Teaching data science
Subject	Syllabus
Genre	Text

Location	https://purl.stanford.edu/rp596gf3979

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Preferred citation: Lee, Victor R. and . (2021). EDUC 231A: Curriculum and Instruction Elective in Data Science, Teaching Data Science in Secondary School Syllabus. Stanford Digital Repository. Available at: https://purl.stanford.edu/rp596gf3979

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