Automating an Engine to Extract Educational Priorities for Workforce City Innovation

PilotCity Mathematics, 2018-19

Liaison(s): Derick Lee
Advisor(s): Talithia Williams
Students(s): Jean Selasi Adedze, Aanya Alwani, Madison Hobbs (PM), Xuming Liang, Dominique Macias

Our Clinic team was tasked with developing software and algorithms to automate PilotCity programming. Our solutions involve creating web interfaces with which teachers, students and employers involved in the PilotCity Program can engage as well as designing recommender systems that facilitate the process of matching employers to high school classrooms. Additionally, we are using topic modeling to extract educational priorities from community college and high school syllabi in order to inform work-based learning community partnerships.