1. Data Literacy and Assessment
Building quality assessments and evaluating data to improve student outcomes
Glenn Nathan
ESC – Region 19

2. Data Literacy and Assessment
WE WILL: Discuss practices for creating quality assessments to drive instruction with Eduphoria Aware. I WILL: Formulate a plan for practices with use of assessments built in Eduphoria Aware.

3. Data Literacy and Assessment
AGENDA:
Rationale or purpose of assessments
Curriculum alignment
Using Eduphoria to build assessments
Assessment Evaluation

4. Data Literacy and Assessment
What types of assessments are given at your campus or district?
What is the purpose of the assessment?
How do you use the data from the assessments?

5. Data Literacy and Assessment
What types of assessments do you use with your students?
Are these formative or summative?
Why are you assessing your students?
What do you do with your assessment results?
How are these assessments used for instructional planning?
Suggested activity: Have participants get into groups of 4 (or so) and give each participant a stack of post-it notes. Participants write down the type of assessment and put the note in the center of the table. Must say and write they type of assessment so that others hear it. May not repeat types of assessments. Provide maybe 2 minutes. At the conclusion have teams sort the assessments into formative and summative or both. Then they discuss the 3 questions.

6. Data Literacy and Assessment

7. Data Literacy and Assessment
C = Curriculum
I = Instruction
A = Assessment
Quality Assessments are built using a framework which applies an “Understanding by Design.” I A

8. Data Literacy and Assessment
C = Curriculum
I = Instruction
A = Assessment C
This triangulation emphasizes the dynamic nature of evaluating instruction in relation to student outcomes.
Only Instruction is flexible and able to change.
Rationale or Purpose I A

9. Data Literacy and Assessment
TEKS (RS)
IFD
Pacing
Scope and Sequence
Units
C = Curriculum
I = Instruction
A = Assessment C
Rationale or Purpose
STAAR/EOC
Benchmarks
Local assessments
Performance assessments
Unit Exams
Exit Tickets
Lesson Plans
Strategies
Delivery I A

10. Data Literacy and Assessment
Assessment Considerations: State Blueprint: 60-70% of the Exam will be Readiness Standards 30-40% of the Exam will be Supporting Standards At least 40% of the exam will be dual coded with Processing Standards

11. Data Literacy and Assessment
Quality Matters to Build Data Literacy
What is Data Literacy?
The ability for one to derive meaningful insights from data and apply those insights in a way that benefits the organization.
Often, a handful of data analysts mine insights on behalf of the organization.
What happens when the majority employees have data at their fingertips and discover their own insights?

12. Data Literacy and Assessment
Data Literacy Outcomes
Improving low-performing schools
Ensuring high school completion
Supporting highly-mobile populations
Differentiating instruction
Identifying students for intervention and monitoring outcomes
Completing campus planning and needs analysis
How do your assessments align to the listed outcomes?

13. Data Literacy and Assessment

14. Data Literacy and Assessment
Who should build your assessments? It depends on what you are trying to evaluate! Data Standards must be considered

15. Data Literacy and Assessment
National standards for data use Click on the Adobe icon to download the data standards

16. Data Literacy and Assessment
Data Literacy Standards
Knowledge
Skills
Professional Behaviors

17. Data Literacy and Assessment
Data meaning is critical to arrive at common understandings. We want to avoid inconsistent interpretation.

18. Data Literacy and Assessment
Data Literacy Standards
Knowledge
Skills
Professional Behaviors

19. Data Literacy and Assessment
Data Literacy Standards
Knowledge
Skills
Professional Behaviors

20. Data Literacy and Assessment
The evaluation of the data should produce a tangible product for moving forward. Need a consistent and standardized process. The type of assessment you build will determine the types of evaluation you can conduct.

21. Data Literacy Standards
Knowledge
Skills
Professional Behaviors

22. Data Literacy and Assessment
Action plans are built in PLC’s. The type of assessment we built in Eduphoria should guide and inform the action plan. Critical to have a consistent data analysis protocol in place.

23. Data Literacy and Assessment
Data Literacy Standards
Knowledge
Skills
Professional Behaviors

24. Data Literacy and Assessment
Let’s Unpack Your Assessment Step 1: Unpack the SE Step 2: Compare the unpacked SE to the question looking for alignment Step 3: Reflect on instruction of the SE vs. how it was assessed. Is this a quality assessment of the SE’s that should have been taught over the given period of time?

25. Data Literacy and Assessment
What data sources are used for instructional decisions? How are assessments used to monitor pacing and curricular alignment? How are assessments used to measure mastery of the state learning standards? How do assessments connect to classroom grades?

26. Data Literacy and Assessment
What is your assessment plan? Blind Assessments? How do we use these types of assessments and what value do they bring.

27. Data Literacy and Assessment
Eduphoria Aware’s value is from its use and the information entered.
Quality Input = Quality Output

28. Data Literacy and Assessment
Glenn Nathan
ESC – Region 19