PPT from September 10th faculty meeting at CWECC and Wood.

1. Monday, September 10, 2012
Working Together to Help OUR
Students Grow

2. Data Teams/CFAs: Unclear?

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.