Data Literacy

MARCH 12-13

Workshop outcomes

• Begin building common understanding and skills of data literacy

• Reflect on which data sources we use most often

• Reflect on which data sources should be “our main diet”

• Practice the four phases of a “Data Dialogue”

What are your data sources?

• Please list as many specific examples of data sources as possible that your team uses.

• Put each specific item on a separate post it (size = how often you use it)

Example

Reading Conferencing

Weekly Math Problem

Solving

DRA

End-of-unit reading assess.

Daily

Weekly

ISA

1-2 x month

2-3 x year

1x yr.

Types of DataType of Data Examples

Benchmark Common Assessment

End-of-unit tests, common grade-level tests, common writing assess., labs

Formative Classroom Assessment

Student self-assessments, descriptive feedback, selected response, written response, obser. of

perform., checklists, questions asked and answered in class, homework

Data about people, practices, perceptions

Demographics and enrollment data, surveys, interviews, observations

Annual summative external assessment

Aggregated, disaggregated, strand, item-level, and student work

Formative common assessment

Math problem-of-the-week, writing samples, science journals, other student work

Create a pyramid

Reflection Questions• What do you observe?

• Which sources do you use the most?

• Which sources do you use the least?

• Why?

• What helpful sources do you not have?

• Waht

• Does this bring up any issues, questions, thoughts?

Not recommended pyramid

Summative External Assessments

Other

Recommended Pyramid

Formative Classroom Assessment for Learning

Formative Common Assessments

Benchmark Common Assessments

Data about people, practices, perceptions

Summative External

Assessments

Dai

ly,

Wee

kly

1-4

times

a m

onth

End

of u

nit

Quarter

ly2-

4 tim

es

per y

ear

Annu

ally

The Data Coache’s Guide Nancy Love

Reflection

• How does your pyramid compare to the “recommended” pyramid?

• What do you think about that?

Phases of Data Dialogue

GO VISUAL OBSERVE

The Data Coache’s Guide, Nancy Love

Breakfast Data

• Predict

• Observe

• Infer/

• Question

Track Team Thinking

ObservationsInferencesQuestions

Data is not the answer

“The real value of data is not that it gives answers, but that it inspires questions.”

Data Wise

Reflection• What trends did you see?

• What new thoughts did you get from other teams’ thinking?

• What are the advantages of keeping the observation phase clearly separate? before going to inferences and questions?

Final Reflection

• What was one “aha” or “learning” you gained today regarding data and its use to improve

student learning?