EDSL 8861 Data Driven Decision Making

In order to support teachers and school personnel in planning for effective instruction, school leaders must be knowledgeable and proficient in the collection, analysis, and use of student assessment data. This course will provide participants with background, techniques, and practice in analyzing student assessment data with the purpose of making recommendations for curricular and instructional modifications. Additionally, participants will examine the facets of school accountability, including local, state, and federal legislation. A major project will include the development of a collaborative Data Plan at the school or district level.

Credits

3

Student Learning Outcomes

SCHOOL OF EDUCATION OUTCOMES (See School of Education Syllabus A – IV)

COURSE OUTCOMES:

Upon successful completion of this course, the candidate will be able to:

1. Analyze multiple sources of data for individual students
2. Analyze multiple sources of data for disaggregated sub-groups to identify improvement needs and “symptoms”
3. Analyze root causes of deficiencies and spikes in improvement
4. Develop and use tools to collect additional data to validate assumptions about data
5. Analyze systems and processes that impact student success to find needs for improvement in processes and practices.
6. Develop personal student achievement goals based on analyzed student data.
7. Lead individuals and/or team(s) in the analysis of student data
8. Learn to use the Plan-Do-Check-Act Cycle
9. Complete a project that includes developing and presenting a School Data Profile at the school or district level