DATA-DRIVEN LEADERSHIP FOR EDUCATIONAL EQUITY AND SYSTEMIC SCHOOL IMPROVEMENT
Engages educational leaders in data-driven decision-making from a system-wide perspective, and developing basic data analysis skills.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Evaluate existing improvement processes, use research and data to develop an improvement process, and develop an implementation plan to support the improvement process. Audience: Graduate 2. Evaluate ethical dimensions of issues, analyze decisions in terms of established ethical frameworks, and develop a communication plan to advocate for ethical decisions. Audience: Graduate 3. Interpret data from formative and summative assessments for use in educational planning and engage faculty in gathering, synthesizing, and using data to evaluate the quality, coordination, and coherence of the school’s curriculum, instruction, and assessment practices. Audience: Graduate 4. Master principles of systems management and continuous improvement. Audience: Graduate Learning Outcomes: 1. Evaluate existing improvement processes, use research and data to develop an improvement process, and develop an implementation plan to support the improvement process. Audience: Graduate 2. Evaluate ethical dimensions of issues, analyze decisions in terms of established ethical frameworks, and develop a communication plan to advocate for ethical decisions. Audience: Graduate 3. Interpret data from formative and summative assessments for use in educational planning and engage faculty in gathering, synthesizing, and using data to evaluate the quality, coordination, and coherence of the school’s curriculum, instruction, and assessment practices. Audience: Graduate 4. Master principles of systems management and continuous improvement. Audience: Graduate
Sources
- Course catalogue ↗2026-2027