Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Theoretical computer science wikipedia , lookup
Inverse problem wikipedia , lookup
Geographic information system wikipedia , lookup
Neuroinformatics wikipedia , lookup
Pattern recognition wikipedia , lookup
Multidimensional empirical mode decomposition wikipedia , lookup
Corecursion wikipedia , lookup
School Wide Positive Behavior Support Tier 1 and 2 Data Analysis for Mercer Elementary School Presented by: Curt Springer Ed Douglass Andrea Crooks Maggie Ference Barbara Hogue Areas of Data Analysis Tier 1 • Staff Buy In • Self Assessment Survey, School Safety Survey • Annual Assessment and Evaluation of Staff Perceptions • Self Assessment Survey, School Safety Survey • Annual Action Planning • Self Assessment Survey, Bench Marks of Quality (BOQ), Tiered Fidelity Inventory (TFI) • Building Level Analysis • Swis Core Reports, Additional Reports, and Data Drill Down Reports Areas of Data Analysis Tier 2 • Building level Check In Check Out • School Wide Report, Average Daily Points • Function Based Thinking for Check In Check Out with Individual Features • Individual Student Referrals by Motivation Staff Buy In • Review the total score for the Self Assessment and School Safety Surveys • Identify implementation status at the school wide level, nonclassroom level, classroom level, and individual student level • Identify improvement priority at the school wide level, nonclassroom level, classroom level, and individual student level Self-Assessment Data at the School Wide level Self-Assessment Data at the Non-Classroom Level Self-Assessment Data at the Classroom Level Self-Assessment Data at the Individual Student Level Annual Assessment and Evaluation of Staff and Core Team Perceptions • Review Self-Assessment school wide system subscale data • Compare each categories score as well as total score to previous years data • Review Benchmarks of Quality subscale data • Compare each categories score as well as total score to previous years data Self-Assessment School Wide System Subscale Data Benchmarks of Quality Subscale Data Annual Action Planning • Review of Self-Assessment Survey item data • Identify and prioritize items from the Self-Assessment survey to improve and add to the annual action plan • Review of Benchmarks of Quality items data • Identify and prioritize items from the Benchmarks of Quality to improve and add to the annual action plan Annual Action Planning Activity • Review the Self-Assessment survey and Benchmarks of Quality results for the Mercer Area School District • Identify and prioritize the top 5 items for improvement from both assessment tools and list them on the Annual Action Plan Building Level Analysis • Review SWIS dashboard and identify an area for further analysis • Utilize the drill down feature to narrow the data set and create custom reports • Develop a precise problem statement that includes the what, when, where, who and why of the data set • Develop a solution action plan to address the defined problem Building Level Analysis • The solution action plan should include the follow: • How do we prevent the problems from occurring • How do we teach a replacement behavior • How do we reinforce the replacement behavior • How do we correct the problem behavior when it occurs Swis Dash Board Data Drill Down for the Behavior of Disrespect • Disrespect by day of the week Data Drill Down for the Behavior of Disrespect • Disrespect by Gender Data Drill Down for the Behavior of Disrespect • Disrespect by Grade Data Drill Down for the Behavior of Disrespect • Disrespect by location Data Drill Down for the Behavior of Disrespect • Disrespect by others involved Data Drill Down for the Behavior of Disrespect • Disrespect by motivation Data Drill Down for the Behavior of Disrespect • Disrespect by Staff Data Drill Down for the Behavior of Disrespect • Disrespect by student Data Drill Down for the Behavior of Disrespect • Disrespect by time Data Drill Down Activity • Review the data that is presented on the handout • Develop a precise problem statement and record it on the TIPS meeting form • Develop a solution action plan with all of the above stated conditions and record it on the TIPS meeting form Building level Check In Check out Data Analysis • Review the CICO School-Wide report to ensure that the intervention is being effective for most students • If the data shows that most student are not being successful, examine if the intervention is being implemented correctly • If the data shows that most students are being successful, identify students that may need further support Building level Check In Check out Data Analysis • Review of School-Wide CICO data Building level Check In Check out Data Analysis • Review of average daily points Function Based Thinking for Check In Check Out with Individual Features • Identify students that are not meeting their goals through the CICO intervention • Examine the students individual data and identify areas to provide individualized features to their CICO intervention Function Based Thinking for Check In Check Out with Individual Features • Review of individual data Function Based Thinking for Check In Check Out with Individual Features • Review of individual data Check in Check Out Activity • Review the individual data and identify at least one area of the CICO intervention that could be individualized