EDUC 231A: Curriculum and Instruction Elective in Data Science, Teaching Data Science in Secondary School Syllabus
- 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
|Type of resource
|August 11, 2023
|Lee, Victor R.
|high school data science
|data science education
|data science teacher education
|Stanford Graduate School of Education
|Stanford Data Science
|Teaching data science
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).
- 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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