UNPACKING ESSENTIAL FUNCTION 1: GATHERING DATA
What Does Collaboration Look Like?
Effective Data Teams…
- Set regular meeting times and hold that time “sacred.”
- Create and follow an agenda.
- Define and use roles within meetings.
- Implement shared leadership for meetings by shifting and sharing roles.
- Are accountable by coming prepared and being familiar with the data.
Watch this collaborative data meeting as they discuss formative data.
MMD/DCI Poplar Bluff DBDM from Beth Tobin – Life Events Studio on Vimeo.
- What are three elements of effective data teams (from above) this team uses as they discuss their data?
- What reflections/questions do you have after watching the team meeting?
- Why is it important the team uses collaborative strategies as they move through the data analysis process?
- What are some next steps your team might incorporate to work more collaboratively?
ESSENTIAL FUNCTION 1 IN PRACTICE
Data Reflections
Using the data you gathered at the beginning of this module, walk through the steps of preparing for a data meeting.
Skim your data and then reflect on the following.
- Is the data summative or formative?
- List at least 5 skills or types of knowledge students drew upon to complete the assessment.
- Based on the data, what initial assumptions can you make about what students know and do not know?
- Fill in a t-chart like the one pictured below.
| Based on the Data, What do Students Already Know? | What are Some Common Issues, Problems, or Misconceptions in Students’ Learning? |
|---|---|