A teaching strategy known as "Data-Driven Assessment and Instruction" in the curriculum areas uses data analysis to guide and customize teaching methods, giving students across a range of subjects more focused and successful learning opportunities. Fundamentally, this approach combines the methodical gathering, analysis, and use of data on student performance to inform instructional decision-making. To regularly monitor student growth and knowledge, teachers use a variety of assessment tools, including as formative assessments, summative assessments, standardized examinations, and observational data. By carefully examining this data, teachers might discover patterns in learning, the requirements of specific students, and the curriculum's strong and weak points. Teachers can then modify their teaching tactics, timing, and content delivery to fulfill specific learning objectives and accommodate a variety of learning styles by finding patterns and gaps in students' knowledge. Moreover, as teachers can monitor their own efficacy and the results of their methods over time, data-driven instruction promotes a culture of accountability and openness. It also makes it possible for instructors to work together, exchanging best practices and creating focused interventions to help students who are having difficulty. Ultimately, data-driven instruction and evaluation enable teachers to make well-informed choices that maximize learning outcomes for students and encourage ongoing development across subject areas.

Resource: https://www.hmhco.com/blog/what-is-data-driven-instruction