1. Question to Consider Why Use Data?

2. Data Analysis Four types of data to be examined: External Trends Achievement Data Other Outcome Data Data about Culture/Conditions

3. External Trends Outside factors that affect achievement Age distribution of county population Socio economic status of district Family structures Drug abuse Crime rate Technology trends

4. Achievement Summative tests Benchmark tests Formative assessments OF learning Formative assessments FOR learning

5. Other Outcome Data Attendance Discipline Drop out rates Graduation rates

6. Culture –Conditions-Practices Monitoring reports Walk through summaries Making Middle Grades Work Reports OEPA Reports SREB Reports School self assessment of high yield strategies Questionnaires

7. Determining Root Causes Examine Possible Reasons for Not Meeting Objectives TeacherLearnerCurriculumClassroom Teaching strategies Student engagement Aligned with testInstructional materials ExpectationsSelf-efficacyMapping sequence Physical environment Understanding of CSOs and content area Understanding of CSOs Appropriate to grade level Daily interruptions Teaching experience Prior learning experiences Test administration Learning climate Classroom management skills Parental support Accommodation for learning styles Disciplinary problems

8. Establish Priorities Review the root causes Prioritize the major concerns Focus on what you can actually change

9. Lets Summarize the Utilization of Data Student Achievement Data Goals and Objectives External Trend Data Strategies Other Student Outcome Data Strategies Culture, Conditions, and Practices Strategies

10. Lets Summarize WHAT to ImproveHOW to Improve GOALSSTRATEGY ObjectiveAction step ObjectiveAction step