Data Literacy and Assessment Building quality assessments and

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

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.

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

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?

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?

Data Literacy and Assessment

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

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

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

Data Literacy and 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

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?

Data Literacy and Assessment Data Literacy Outcomes • • • r u o y o d w Ho o t n g i l a s t n e m s s e s s a ? s e m o c t u o d e t s i l e th 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

Data Literacy and Assessment

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

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

Data Literacy and Assessment • Data Literacy Standards • Knowledge • Skills • Professional Behaviors

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

Data Literacy and Assessment • Data Literacy Standards • Knowledge • Skills • Professional Behaviors

Data Literacy and Assessment • Data Literacy Standards • Knowledge • Skills • Professional Behaviors

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.

• Data Literacy Standards • Knowledge • Skills • Professional Behaviors

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.

Data Literacy and Assessment • Data Literacy Standards • Knowledge • Skills • Professional Behaviors

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?

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?

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.

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

Data Literacy and Assessment Glenn Nathan ESC – Region 19 ganathan@esc 19. net 915. 780. 6517