ESR 632 Data-driven Decision Making

In this course students study the methodologies, assumptions, and the techniques for various types of data collection and analysis used by educational leaders. The course begins with an overview of student data as a form of organizational performance (e.g., test scores, graduate rates, attendance, etc.) then moves to the broader issues of evaluation, experimentation, quantitative analysis, and interpretivist analyses. The course ends with a review of current research and trends in data-driven decision making. Throughout the course students analyze cases to develop a practitioner's knowledge of research, evaluation, and data use for school improvement. Prerequisite(s): Admission to the Educational Leadership Doctoral Program, Educational Specialist Program, or with permission of the Program Director. 3 semester hours

Credits

3