Which of the following describes a method for ongoing improvement toward educational vision and goals?

Engaging in data-driven decision making is a crucial method for ongoing improvement toward educational vision and goals because it allows leaders and educators to systematically analyze data to inform their strategies and initiatives. By relying on various data sources, such as student performance metrics, attendance records, and feedback from stakeholders, educational leaders can identify trends, assess the effectiveness of current practices, and make informed decisions that align with their vision and goals.

This approach promotes accountability and transparency within the educational environment, as decisions are grounded in empirical evidence rather than intuition or anecdote. Additionally, data-driven decision making fosters collaboration among educators, as they can collectively review data findings, engage in reflective practices, and share insights that contribute to school improvement efforts. By continuously monitoring data and adjusting strategies as needed, educational institutions can effectively work toward their long-term objectives while remaining responsive to the needs of their students and community.