This document discusses assessment and data-driven decision making in education. It begins by asking teachers about the types of assessments they experienced as students and explores reasons for assessing student learning, such as understanding how well students are learning and reflecting on teaching practices. It then describes different forms of assessment, such as quizzes, rubrics, and tools available in learning management systems. Finally, it discusses using assessment data to differentiate instruction and defines data-driven decision making as systematically examining student progress to improve teaching.