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Building Level Data T eams in the Enhancement of the RTI P rocess. Kings Park Central School District Friday, October 3, 2014. Addressing RTI through Data Teams. Welcome Goals and Objective for this workshop Parking Lot Questions Introduction Who’s Who
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Building Level Data Teams in theEnhancement of the RTI Process Kings Park Central School District Friday, October 3, 2014
Addressing RTI through Data Teams • Welcome • Goals and Objective for this workshop • Parking Lot Questions • Introduction Who’s Who • Why RTI (Response to Intervention)? • Moving Upstream • “A Story of Prevention and Intervention” • Applying a Tiered Model • Medical Model • Data Team • The ABC’s of Data • Data in Action
Applying a Tiered Model K. Stahl, 2014
Reading Intervention Response to Intervention (RTI) Progress Monitoring RTI Tiers Intensity Small Group ** Weekly Tier III 5% Monthly Small Group * Tier II 15% Tier I 80% Whole Class At least 3 times *Tier II: Small Group is administered by Classroom Teacher or Reading Teacher **Tier III: Small Group is administered by Reading Teacher/Reading Specialist
Reading Intervention“A Medical Model Analogy” • Tier I: Teacher (General Practitioner) • Minimal to Moderate Support (Daily/Weekly) • Tier II: Reading /Classroom Teacher (Specialist) • Moderate Support (Cycle Approach/Moderate Frequency) • Tier III: Reading Teacher (ER) • Intensive Support (Short Duration/High Frequency) • Data Team/Residency Learning Walks • Opportunities to review multiple points of data to improve student outcomes
The Center on Response for Intervention at American Institutes for Research (2014)
ABC’s of Data Teams… Rick DuFour / Group vs Teams • http://www.youtube.com/watch?v=0hV65KIItlE
“The Who” • Building Principal/Administration • Building Psychologist • Reading Specialists • Math Specialists • Grade Level Teachers • Support Staff (I.e. Speech and Language Therapists)
“The What” • STEP 1: Conduct universal screening and ongoing collection of data. • STEP 2: Analyze assessed strengths and challenges to determine the root causes. • What have you observed? • What information do the data provide? • What are the strengths, challenges, and inferences? • What is the root cause? • STEP 3: Establish SMART goals: Set, review, and revise the goals. SMART refers to: • specific, measurable, achievable, relevant, and timely. • STEP 4: Select scientifically research-based interventions. www.leadandlearn.com/.../data_teams-the_big_picture_-_rti_excerpt.pdf
Medical Model vs. RTI/Data Team Medical Model RTI / Data Team Universal Screening Progress Monitoring Tier II/Tier III Intervention Monitoring assessment data (i.e. STAR, benchmarks, curriculum-based measures, optional assessments) Goal-driven intervention plan Health Screening Tests Some symptoms that bear watching A few treated Immediately Monitoring vitals (i.e. Temperature, blood pressure, pulse) Prescriptive health care plan Source: Getting the Most Out of STAR Enterprise by Renaissance Learning
Data Team In Action!! DATA TEAM QUESTION: Determine if the instructional decision to utilize Wilson’s FUNDATIONS for whole class instruction in Kindergarten and Grade 1 was effective? DOMAIN SCORES ~ % of students approaching mastery COHORT A DOMAIN SCORES ~ % of students approaching mastery COHORT B THINK/PAIR/SHARE: What recommendations would you make as a data team member? OUR GOALS: 1. Continue whole class delivery FUNDATIONS in Grade 2 2. Change how Kindergarten is serviced by Speech & Reading teachers 3. Grade 2 is the bulk of our Reading Specialists’ schedule this year.
YOUR TURN: Evaluate School-WideIntervention Strategies Use the data below to determine if progress was made towards our 2013-14 school year goal. GOAL:to facilitate fidelity to our district’s RTI plan for Grade 4. THINK/PAIR/SHARE: What does the data tell us? What questions come to mind? What goals need to be set for the 2014-15 school year?
Data and the Instructional Support team • Resources –Take Away • RTI Resource Guide • Review Flow Chart • Record Sheet • RTI Referral Form • Check List (Draft) • RTI Placemat
Benefits of being “Data Wise” • Whip around • What are your next steps? • Questions • Parking Lot
Resources • Bean and Lillenstein (2012): Response to Intervention and the changing roles of schoolwide personnel. The Reading Teacher 65 (7), 491-501. • Renaissance Learning. (2012) Getting the most out of STAR Reading Enterprise and STAR Math Enterprise Using Data to Inform Instruction and Intervention. • Stahl, K. (2014) Using your RTI model to differentiate and support ELA common core learning standards. The NYS RTI – TAC Conference. New Rochelle: New York. • The Center on Response for Intervention at American Institutes for Research (2014). Retrieved from http://www.rti4success.org/. • Ventura, S., White, M., Gregg, L. , Campsen, L., Besser, L., Nielsen, K., Allison, E., Connie, A.R., Córdova, J. Pitchford, B. , Doubek, B., Peery, A., (2010) Data Teams: The Big Picture—Looking at Data Teams Through a Collaborative Lens. Retrieved from http://www.leadandlearn.com/sites/default/files/bookstore/books/excerpts/data_teams-the_big_picture_-_rti_exceprt.pdf