EDL 632 Utilizing Data to Inform Decision Making

In this course candidates 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 trends in data-driven decision-making. Throughout the course candidates analyze cases to develop a practitioner's knowledge of research, evaluation, and data use for school improvement. Pre-requisite(s): Admission to an NLU doctoral program or with permission of the EDL doctorate program coordinator. Co-requisite(s): None. 3 semester hours

Credits

3