Educating at the Intersection of Data Science and Social Justice
Computer science mathematics education
|Audience:||Researchers in the topic|
|Conference dates:||Fri Jul 21 to Sat Jul 22|
|*contact for this listing|
This workshop is designed to highlight the intersections between data science and social justice in K-16 education. The goals of this workshop are to 1) explore, and identify avenues to expand, current research on and methods for using data science in education; 2) raise awareness about research on issues of social justice in education and teaching pedagogy; and 3) work with community partners to create, evaluate and disseminate new K-16 curricular materials.
The week will focus on integrating computational social justice research methods, open problems, and best practices across different levels of training. Participants will collaborate on curating professional artifacts, such as: articulating collections of open problems in data science research in social justice; compiling a collection of computational social justice research projects; and developing course modules suitable for use in K-16 education. The results of these collaborations will be shared publicly by the organizers and participants to achieve the broadest impact.
While the workshop will be open to and beneficial for all researchers and educators who teach computationally focused courses, priority will be given to early-career faculty and advanced graduate students.