EDU 588-Data Driven Decision Making for School Improvement- introduces students to the basic language and processes of data analysis in preparation for the development of a School Improvement Plan. The goals of the course are to prepare students to develop a School Improvement Plan (SIP) proposal; select a unit of study for proposal (typically a school or a part of a school such as a department); decide on a focus for school improvement within the unit of study; analyze student achievement data; and begin to formulate a plan for data collection.
Students are exposed to different types of data collection methods both quantitative (with a focus on surveys and analysis of existing data) and qualitative (through a focus on case study, interviews and focus groups).
This course seeks to answer the following questions:
What is data driven decision making?
What is a School Improvement Plan?
How do I determine the focus of my plan?
What is the difference between quantitative and qualitative data collection and analysis?
How can I collect and verify my data for my plan?
- Survey (quantitative)
- Interview (qualitative)
- Focus group (qualitative)
- Document review
- Instructor: Mike Hensgen
Resources and information regarding this session will all be located on this Moodle site.
- Teacher: Jeannine Ramsey