Data teams and cf as (1)
- 1. Monday, September 10, 2012 Working Together to Help OUR Students Grow
- 4. I am only one, But still I am one. I cannot do everything, But still I can do something; And because I cannot do everything I will not refuse to do the something that I can do. Edward Everett Hale
- 5. Descriptions Data teams use common priority standards, generate common formative assessments (CFAs), and use common scoring guides to monitor and analyze student performance. Data teams are small, grade-level, department, course, content, or organizational teams that examine work generated from a common formative assessment in order to drive instruction and improve professional practice. Data Teams have scheduled, collaborative, structured meetings that concentrate on the effectiveness of teaching and learning.
- 6. Common Formative Assessments Formative assessment is the “monitoring of student progress during instruction and learning activities that includes feedback and opportunities to improve. The “common” aspect of a CFA is important during data team meetings as it allows your team to have consistent data across the spectrum in order to guide future planning decisions.
- 7. Common Formative Assessments The most important aspect of formative assessment is the fact that it allows students an opportunity to improve themselves because of the feedback given, as well as guide teachers to make future decisions. This means formative assessments are not grades for your grade book, it is a tool to assess growth and further needs.
- 8. Data Team Meetings Data Team meetings must be scheduled to make it possible to monitor goals, strategies, and achievement. As a team you will need to schedule data team meetings every few weeks in addition to the first Monday of each month that we meet after school. Ideally, meetings should be scheduled every 2 to 3 weeks to monitor results of pre- and post- assessments. At each meeting, the team should schedule the next meeting.
- 9. Data Team Facilitators To allow each team to take ownership of student data, a teacher at each grade level has been chosen to be data team facilitators. Data team facilitators will be responsible for scheduling and leading meetings, collecting data from each teacher on the team, and guiding the team through the Data Teams process steps. Team members should submit their data to the facilitator by the requested time so that meetings are not focused on disseminating data. The facilitator will come to the meeting with all data ready for discussion.
- 10. Data Teams Process 1. Collect and chart data. 2. Analyze data and prioritize needs. 3. Set, review, and revise incremental SMART goals. 4. Select common instructional strategies. 5. Determine results indicators. 6. Monitor and evaluate RESULTS.
- 11. Collect and Chart Data Data teams gather and display data from formative assessment results. Through the disaggregation in this step, teams will be able to plan for the acceleration of learning for all students.
- 12. Analyze Data and Prioritize Needs Data teams indentify the strengths and needs of student performance and then form inferences based on data. Data Teams also prioritize by focusing on the most urgent needs of the learners.
- 13. Set, Review, and Revise Incremental SMART Goals Teams collaboratively set incremental goals. These short-term goals are reviewed and revised throughout the data cycle.
- 14. Select Common Instructional Strategies Teams collaboratively identify research-based instructional strategies. The determination is based on the analysis in step 2.
- 15. Determine Results Indicators Data Teams create descriptors of successful strategy implementation as well as improvements to be seen in ongoing student work that would indicate the effectiveness of the selected strategies.
- 16. Monitor and Evaluate RESULTS After evaluating the results, decisions will be made as to where to go from here. The process or cycle continues.