What professional learning do we provide on how to analyze a range of academic (e.g., state tests, district assessments, benchmarks, quizzes, exit tickets, portfolios, and teacher-made tests, etc.) and non-academic data (e.g., attendance, discipline, social-emotional information, etc.)? How much attention is paid to data analysis based on student subgroups (e.g., race, gender, disability status, English language learners, etc.) to account for marginalized students?