In the domain of mathematics, data-driven assessment and instruction refers to a methodical way to use student data to improve teaching and learning outcomes. It starts with the meticulous gathering of many types of information, such as test results from standardized exams to observations and evaluations made in the classroom. By carefully examining this data, teachers can learn a great deal about their pupils' areas of strength, weakness, and need for more help. Armed with these insights, educators establish precise, quantifiable objectives that are in line with learning objectives and curriculum standards. After that, they create lesson plans that are specifically designed to meet the needs that have been determined by the data analysis. Continuous assessment procedures are used during the teaching process to track students' progress and give prompt feedback, allowing teachers to modify their lesson plans as necessary. Teachers can also assess the success of their ideas through regular reviews of student data, which promotes an ongoing cycle of improvement. Educators may enhance teaching procedures, tailor learning experiences, and eventually enable students to attain mathematical proficiency by employing data-driven approaches.

Resource: https://www.nctm.org/Research-and-Advocacy/Research-Brief-and-Clips/Using-Data/