1. Mitch Fowler School Data Consultant Calhoun ISD fowlerm@calhounisd.org
Data in the Elementary Classroom:
Clear Expectations & Colors
Mitch Fowler
School Data Consultant
Calhoun ISD

2. Lessons Learned… “Bring some data…”
“This isn’t exactly what we’re looking for…”
“Do you have the colorful reports that Tim used in his conference?”

3. Discussion
How are expectations about data collection and usage communicated?
How are expectations about preparedness for data conferences communicated?

5. Your Needs What type of data do you wish to collect?
Observation
Performance
Benchmark
Multiple Choice, T/F, etc
What do you want the data to show?
Growth from Pre to Post
Progress over time
Credit / No Credit
Performance on Standards

6. Your Needs (cont.) How do you want the data to be represented?
Graph / Chart
Table
Color-coded
Non color-coded

7. Our experiences…

8. What’s the data? (Columns)
What are the benchmarks? (Colors)

9. Seasonal Focus

10. Seasonal Growth II

11. Standards Focus

12. Individually Defined Focus

13. Progress Monitoring

14. Classroom Matrix

15. Opportunities to Show Growth

16. Pre-Test / Post-Test Exams
At the basic level, most reports in DD have a pie chart and performance level chart that will show how students performed using the default scoring bands. In this instance, teachers can point to groups of students who have physically moved proficiency levels.

17. Pre-Test/Post-Test Exams
The Classroom Performance Summary Report can be used to discuss how individual students have made gains between the pre and post test. In this example, a student started the unit answering 0% of the questions related to MA.4.4.NBT.6 and finished the unit answering 87.5%.

18. Pre-Test/Post-Test Exams
In the Classroom Exam Report the Response Frequency can also be used to show movement. Here students were given an exam with a rubric (0-5). The pre test shows most students on the left side of the rubric, whereas the post test shows students moving to the right side of the rubric.

19. Discussion
Based on what you’ve learned today, what are your next steps towards:
Identifying pertinent data points
Developing efficient ways to collect AND analyze the data
What support do you need from your ISD?