Data Centric Problem-Based Learning for Humanizing Purposes

Focuses on humanizing science, technology, engineering, and mathematics (STEM) education through integration of data science and connections to computational thinking into project-based learning (PBL) pedagogical approach. Integration of data connections to computational thinking further contextualizes humanizing STEM education. Participants (pre-service teachers) explore how their K-12 students’ identities and lived experiences connect with STEM challenges. Critical analysis of data and practices of computational thinking (CT) are leveraged toward humanizing STEM purposes within curricular design and implementation of PBL project. Methods course is aligned with California state frameworks and California content standards for grades K-12, including English Language Development Standards—all of which address needs and various interests of diverse students.

Letter grading.