1. © 2013 National Center on Time and Learning; www.timeandlearning.org The TIME Collaborative Data Cycles to Support Instruction Mankato West Middle School

2. © 2013 National Center on Time and Learning; www.timeandlearning.org Start and End Times 7:45 – 3:45 (M-Th) 7:45 – 1:45 (F) Student Days per Year 180 Background Information School Name City, State Grades Served One Interesting School Fact Mankato West Middle School Mankato, MA 6 – 8 We are a much better school than Mankato East

3. © 2013 National Center on Time and Learning; www.timeandlearning.org School-wide Student Achievement Targets Reading State Assessment % Proficiency Goal (13-14) Growth Percentile Goal (13-14) % Proficiency (12- 13) MCAS58%6546% Math State Assessment % Proficiency Goal (13-14) Growth Percentile Goal (13-14) % Proficiency (12- 13) MCAS65%6058% Science State Assessment % Proficiency Goal (13-14) Growth Percentile Goal (13-14) % Proficiency (12- 13) MCAS45%6039%

4. © 2013 National Center on Time and Learning; www.timeandlearning.org Additional Existing Goals [Optional] GoalMeasured by GoalMeasured by GoalMeasured by

5. © 2013 National Center on Time and Learning; www.timeandlearning.org Components of an Effective Data Cycle Assessments DailyYearQuarterWeek Analysis Which Data Data Protocols Which People Action Changes to Instruction Regrouping of Students Impact on Teacher Dev.

6. © 2013 National Center on Time and Learning; www.timeandlearning.org Data Cycle: Assessments What Assessments are We Using? AssessmentSubject(s)Grade(s)Frequency Exit Tickets, Homework Reading, Math, Science, Social Studies 6 – 8Every day QuizzesReading, Math, Science, Social Studies 6 – 8Every week to two weeks Unit TestsReading, Math, Science, Social Studies 6 – 8Every 4 to 6 weeks, after each unit NWEAReading, Math6 – 84x/year (Oct, Dec, Mar, and Jun) FinalsReading, Math, Science, Social Studies 6 – 82x/year, after each semester MCASReading, Math, Science6 – 8 (Science only in 8 th ) 1x/year

7. © 2013 National Center on Time and Learning; www.timeandlearning.org Data Cycle: Analysis When Do We Analyze Data? Length of Data Meeting Frequency (e.g. weekly) Assessment(s) Analyzed Participants (Grade and Subject Taught) 60 min1x/weekQuizzes, Unit Tests Reading teachers meet together; math teachers meet together; led by instr. Coach 90 minEvery other week, during early release Unit Tests, Finals Core content teachers meet in content and grade level teams 4 hours1x/yearMCASCore content teachers meet in content and grade level teams 6 hours4x/yearNWEACore content teachers meet in content and grade level teams

8. © 2013 National Center on Time and Learning; www.timeandlearning.org Data Cycle: Analysis (Continued) How Do We Ensure Time is Well Spent? Structure/ProtocolDescription AgendaInstructional Coach or grade level chair sets agenda for data meetings. Each agenda is structured in the same way, including assigning roles and repeating norms RolesAt each data meeting, there is a facilitator, timekeeper, note taker, and process observer. These roles rotate in each meeting NormsEach meeting has the following norms: Actively listen/participate Begin and end on time Collaborate and work towards consensus Always leave with next steps Data Analysis ToolsUse district’s data dashboard to print out student, class, grade, and school-wide results

9. © 2013 National Center on Time and Learning; www.timeandlearning.org Data Cycle: Action How are We Using Assessment Data? AssessmentFrequencyDecision(s) Driven by this Data Exit Tickets; Homework Every DayMonitor student progress in core content classes QuizzesEvery 1 to 2 Weeks Adjust core instruction, including identifying areas for re-teach Unit TestsEvery 4 to 6 Weeks Adjust unit planning; inform grouping of support classes NWEA4x/yearInform grouping of support classes; inform amount of support for each student ; ensure rigor in core classes Finals2x/yearInform grouping of support classes MCAS1x/yearInstructional focus; initial grouping of student support classes

10. © 2013 National Center on Time and Learning; www.timeandlearning.org Next Steps for Data Cycles Early Successes in Our Data Cycles So Far… Buy-in to norms Agenda and roles have improved the quality of data conversations Multiple opportunities for teachers to meet with grade and content level peers Early Challenges in Our Data Cycles So Far… Data dashboard does not drill down to student data as much as we’d like Ensuring consistency in assessing students daily across all classrooms Three Next Steps We’re Taking to Improve Our Data Cycles Dedicating an administrator to create additional data reports Looking for evidence of exit tickets in lesson plans and lesson observations Improving one-on-one coaching conversation protocols during data days

11. © 2013 National Center on Time and Learning; www.timeandlearning.org Questions/Comments?