Comments on: Do we need a ‘Common Core’ for data science education?  https://hechingerreport.org/do-we-need-a-common-core-for-data-science-education/ Covering Innovation & Inequality in Education Tue, 09 Jul 2024 18:57:56 +0000 hourly 1 By: Cathy Kessel https://hechingerreport.org/do-we-need-a-common-core-for-data-science-education/comment-page-1/#comment-71675 Tue, 09 Jul 2024 18:57:56 +0000 https://hechingerreport.org/?p=101859#comment-71675 “[Data science] classes vary widely in content and approach, in part because there’s little agreement around what exactly data science education should look like.” Research has found considerable variability in mathematics classes, despite the existence of standards. It may be that there’s LESS variability in data science classes because there aren’t as many choices for course materials and professional development.

The Hechinger Report has noted these sources of variability in mathematics classes:

Anxious teachers may spend less time on math: “Math specialists say [math anxiety] is a pervasive issue in elementary classrooms, where educators are typically expected to teach every subject, and it often leads to teachers spending less classroom time on math content.” https://hechingerreport.org/teachers-conquering-their-math-anxiety/

DIY instructional materials: “teacher-made materials may sacrifice the thoughtful sequencing of topics planned by curriculum designers.” https://hechingerreport.org/proof-points-many-high-school-math-teachers-cobble-together-their-own-instructional-materials-from-the-internet-and-elsewhere-a-survey-finds/

I’ve discussed other reasons for variability here: https://mathvoices.ams.org/teachingandlearning/is-data-science-the-new-discrete-mathematics/.

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