Data Driver

Learning team leader facilitates the use of research, assessments, and data for improvement, resulting in educators on the team successfully applying key learnings in their classrooms and documenting student progress related to the student learning goals.
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About this Micro-credential

Key Method

Learning team leader synthesizes team’s key learnings and next steps from engaging in a collaborative inquiry cycle, and documents progress made in student learning.

Method Components

Identify progress in student learning

  • Teams engaging in collaborative inquiry cycles use data and research to inform instruction, resulting in improvements in student learning. For this milestone, you will summarize an inquiry cycle, including the gains in student learning related to your team’s goal. You will make an explicit connection between the team’s use of data and research, resulting team actions, and student progress.
  • Review the artifacts you submitted for the micro-credentials that you have already earned in this strand (Assessor, Data Analyst, Goal Setter, Researcher), and the “next steps” that the team committed to as a result of the work towards each of these micro-credentials.

Follow the thread of your team’s work (what happened when you implemented “next steps”?) and identify how it has resulted in gains in student learning (based on gains in grade-level average performance data).

Research & Resources

Supporting Research

  • “What Research Says about Collaborative Inquiry.” Educational Leadership 66.4 (2008): 87-88. Web.
  • Venables, Daniel. “Introduction: Why Is (Working with) Data so Hard?” ASCD, n.d. Web. 28 Apr. 2016.
  • DuFour, Richard, and Robert J. Marzano. Leaders of Learning: How District, School, and Classroom Leaders Improve Student Achievement. Bloomington, IN: Solution Tree, 2012. Print.
  • Bambrick-Santoyo, Paul. Driven by Data: A Practical Guide to Improve Instruction. San Francisco, CA: Jossey-Bass, 2010. Print.


  • Learning Team Leader Guide: How to Lead for Impact: A guide to support learning team leaders in facilitating effective professional learning communities.
  • PLC Coaching Plan (Sample): Possible coaching plan for PLC work during a unit or module of instruction.
  • End of Unit / Cycle Assessment: A short survey for teams to assess their progress at the end of a unit or cycle
  • PLC Ongoing Action Plan: A tool to record meeting agendas, notes, and team goals in order to support the process of continuous improvement.

Submission Requirements

Submission Guidelines & Evaluation Criteria

To earn this micro-credential, you must earn all of the following micro-credentials: Data Analyst, Assessor, Goal Setter, and Researcher. You must also receive a passing evaluation for Parts 1 and 3, and a “yes” for each of the criteria assessed in Part 2 below.

Part 1. Overview questions

(300-word limit for this section)

  1. What subject area(s) did your team focus on this cycle?
  2. What grade level(s)?
  3. What was your team’s student learning goal for this cycle?
  4. What standard does the goal address?
  5. To what extent did your team make progress related to the student learning goal?
    1. A great deal of progress was made and we met our goal!
    2. Good progress was made, but we did not quite meet our goal.
    3. Some progress was made
    4. Little or no progress was made

Part 2. Evidence/artifacts

Please submit the following evidence/artifacts:

  1. A completed Inquiry Cycle Snapshot - Data Driver Worksheet, that summarizes an inquiry cycle, including the gains in student learning related to the team’s goal.
  2. Common Assessment used by the team for the purpose of assessing student progress at the end of the inquiry cycle (Question #5 in the Inquiry Cycle Snapshot).
  3. A table or graph that shows aggregated data from two assessments (pre and post implementation). Data shows that on average across the grade, students were assessed and made progress in targeted skills or standards. See sample data tables and graphs.

Except where otherwise noted, this work is licensed under:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)


Download to access the requirements and scoring guide for this micro-credential.
Requirements for Data Driver
How to prepare for and earn this micro-credential - in a downloadable PDF document

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