CAASPP Sharing Results with Principals and Teachers Crystal

CAASPP: Sharing Results with Principals and Teachers Crystal Howard-Johnson, Ph. D

Hello! My name is Crystal Howard-Johnson. I’m a Senior Program Evaluator in RUSD’s Research Office.

Photo Source: Creative Commons License, simpatichno. com

Transition in Sharing CAASP Results CAASPP Power. Point 2 0 1 5 Data Binder Inclusion 2 0 1 5 Data Binder Integration and Alignment 2 0 1 7

Data Binder 2. 0 Integration, Alignment and Building 2 Capacity 0 Moving from perception of CAASPP as “headliner” to viewing 1 CAASPP as results supporting the District’s 12 Success 7 Indicators

Data Results: Integration Alignment and Collective Capacity: Why is this important? . . . 6

Conceptual Approach: Alignment, Integration and Consistency ✘ Alignment with Guide for Instructional Direction ✘ Layout to support RUSD’s 12 Success Indicators ✘ Data Triangulation and Multiple Measures ✘ Building Collective Capacity through Site Informative Inquiry

Guide for Instructional Direction

Attendance Career Pathway Education Reading by Third Grade Advanced Placement/ International Baccalaureate Enrollment Early Numeracy Dual College Enrollment ELA SBAC Results UC/CSU Eligibility (3 -8, 11) (a-g Completion) Math SBAC Results (3 -8, 11) English Learner Proficiency Graduation Rate Student Engagement College Career Indicators K-12 Academic SUCCESS INDICATORS: OVERVIEW

Data Triangulation ✘Triangulation allows us to use different sources of information to create a more complete picture of student learning. ✘When all the data points lead to similar conclusions about a student’s needs, we can be more confident in the assessment and the decisions we make to address those needs. Source: https: //assessmentliteracy. org/interpret/data-triangulation/

3 Major Phases of the Integrated Data Roll Out Day Ice Breakers, Celebrations and Setting the Stage No Binders! Diving Deep into the Data Binders Stakeholder Perspective and Storytelling No Binders!

Ice Breakers & Celebrations Data Princesses Match Game

Today’s Agenda – Data Binder Roll Out • Data Definitions of Statistical Terms – 45 minutes • Binomial Distribution • Standard Error of Scores • Central Limit Theorem • Confidence Intervals in Randomized Control Trials • Data Application – 60 minutes • Running Analysis of Variance on Your SBAC Data • Using Chi Square Analysis for Determining Early Numeracy Effects • Determining Correlation • Review the Binder – 15 minutes • Q & A – 5 minutes

Gotcha!…The REAL agenda will be shared in a moment but in the meantime a video to set the stage for today’s session! https: //drive. google. com/a/rusdlearns. net/file/d/0 Bz. J 1 r. L 8 ku 6 a. RVV 9 QRl. VIWFN 0 c. Gc/vie w? usp=sharing

Share Outs ✘Greatest ✘Biggest hope for data-based informative inquiry concern about data-based informative inquiry ✘Belief I hold about working collaboratively with data Stephen Littlejohn and Kathy Domenici, Communication, Conflict and the Management of Difference, 2007 ✘What I loved best about my summer vacation

Time to Celebrate!! ●Reflect what you might consider a celebration at your site about the informative inquiry process or maybe an initiative that was begun and its success. ●Turn to a shoulder partner or teammate and share that celebration. ●We will also share in the larger group.

Crafting the Conversational Container Based on the work of Laura Lipton and Bruce Wellman, Mira. Via, LLC, Data Driven Dialogu. E

Conversational Container ● Acknowledges the culture and rules of the community ● KEY TO SUCCESS: Must acknowledge assumptions and differences before we can move toward resolution of a sensitive issue or point of conflict Stephen Littlejohn and Kathy Domenici, Communication, Conflict and the Management of Difference, 2007

What do you notice about this container? transparent Start, Structure, Sustain

Data Analysis Prework: Crafting the Container • Directions: • You will work in 4 different groups. • Before beginning your team’s informative inquiry process, please take a few moments for personal reflection. • Think about the data that you are about to review and jot down your preliminary thoughts on the hand out. • Questions? ? Stephen Littlejohn and Kathy Domenici, Communication, Conflict and the Management of Difference, 2007

African American Students http: //www. pulse. ng/books/nigerian-student-poetry-the-day-i-died-byobinna-oke-id 6753172. html “Do you think that your thoughts and responses were different depending on whether you had the happy child stimulus or the aloof/sad child stimulus?

Data Binder Time!

B i n d e r S c a v e

Diving into the Data Using the Informative Inquiry Cycle

Site Goal Setting Process Data

Prework to Analyze Plan Act Reflect: “Crafting the Conversational Container” PREWOR K Sample Questions: • What assumptions do you have about the data? • What predictions do you have? • What are you wondering about the data? • What possibilities for learning might the data present? Adapted from National School Reform Faculty, Data Driven Dialogue, Teacher Development Group, https: //www. nsrfharmony. org/system/files/protocols/data_driven_dialogue_0. pdf

Analyze Plan Act Reflect – Step 1 ANALYZ E Sample Questions: • What data/pieces of information are a cause for celebration? • What data provides us with opportunities for improvement? • What differences were there by • Grade level? Student groups? • What does the distribution of scores tell us? • Are students making progress? Adapted from National School Reform Faculty, Data Driven Dialogue, Teacher Development Group, https: //www. nsrfharmony. org/system/files/protocols/data_driven_dialogue_0. pdf

Step 1: Analyze Part 1 Data Analysis - Observations ANALYZ E In analyzing the data, first note only those facts that you can observe. Conjectures, explanations, and inference are off -limits for now. . . • What do you observe? • What patterns or trends do you see? • What subgroup performance stands out? • Are there any surprises? Adapted from National School Reform Faculty, Data Driven Dialogue, Teacher Development Group, https: //www. nsrfharmony. org/system/files/protocols/data_driven_dialogue_0. pdf

Step 1: Analyze Part 2 Data Analysis - Inferences ANALYZ E In analyzing the data part 2, you… (a) generate multiple explanations for your part 1 Observations; (b) identify additional data that may be needed to confirm/contradict your explanations; (c) propose solutions/responses; and (d) identify data needed to monitor implementation of your solutions/responses Adapted from National School Reform Faculty, Data Driven Dialogue, Teacher Development Group, https: //www. nsrfharmony. org/system/files/protocols/data_driven_dialogue_0. pdf

Analyze Plan Act Reflect – Step 2 PLAN Sample Questions: • Is there additional information or data needed to address needs implied by the data? • Which strategies used in the past appeared to be successful? • Which additional and/or new strategies or plans might be needed to raise achievement in areas of need? • How do we MONITOR our PROGRESS? Adapted from National School Reform Faculty, Data Driven Dialogue, Teacher Development Group, https: //www. nsrfharmony. org/system/files/protocols/data_driven_dialogue_0. pdf

ACT Analyze Plan Act Reflect – Step 3 • Instructional • Professional Development • Climate • Parent/Guardian • Community

Storytelling and the Outward Mindset

Telling Effective Data Stories: Becoming Your Students’ Best Change Agent O Keeping it in perspective: Using data effectively O Gather, Analyze, and Present Student Group Data

What makes a good story? Want to hear my story?

Activity: Gather, Analyze, Present Student Data • Each team picks a student data packet: African American, English Learner, Latino, Students with Disabilities • Review/analyze/discuss the data (10 min. ) • Prepare/share a brief (1 -2 min. ) presentation using the provided template. http: //bit. ly/2 u. ARAT 1

“ Data tells you what’s happening. Stories tell you why it matters. When you put them together, great change is possible. Mc. Kinsey

Goodie Bags

Communication Tools/Templates ● Site Data Rollout Template – TK 12 ● CAASPP Results Parent Template - ES/MS ● CAASPP Results Parent Template – HS ● California State Dashboard – TK 12

Wrap Up

Leadership Data Collaborative key takeaways… o M e a s u r e s f d a t a F

Thanks! Any questions? You contact me at chowardjohnson@rusd. k 12. ca. us (951) 788 -7135 x 80807

Credits Special thanks to all the people who made and released these awesome resources for free: ✘ Presentation template by Slides. Carnival ✘ Photos by Creative. Commons. License