Presentation on theme: "Data for Student Success Comprehensive Needs Assessment Report “It is about focusing on building a culture of quality data through professional development."— Presentation transcript:
Data for Student Success Comprehensive Needs Assessment Report “It is about focusing on building a culture of quality data through professional development and web based dynamic inquiries for school improvement.”
Comprehensive Needs Assessment What is it? 5 Components of the CNA –School Data Profile –School Data Analysis –School Process Profile –School Process Analysis –Summary Report
CNA Document from MDE School Data Profile Pages 1-26 School Data Analysis Pages 27–32 School Process Profile Pages 33-152 School Process Analysis Pages 47, 56, 65, 66, 81, 91, 100, 101, 110, 119, 120, 127, 134, 135, 146, 150, 151 School Summary Pages 152-154
CNA Document from MDE cont. School Improvement Planning Process Pages 155 -159 Required Elements of SIP Checklist Pages 160-165 School Improvement Plan Pages 166 Title 1 Targeted Assistance Required Strategies Pages 168 -171 Title 1 Schoolwide Required Strategies Pages 172-176
The Comprehensive Needs Assessment School Process Profile is due to the State of Michigan February 15, 2010 Schools should complete the School Data Profile and School Data Analysis Before completing the School Process Profile which is due in February
School Data Profile Contains numerous data tables that represent a wide range of school data The Data 4SS CNA Report was developed to help schools gather state aggregate data to support completion of the School Data Profile begin the data collection process
What tables are available in the Data 4SS CNA Report? Figure 1Student Enrollment Trends Figure 2Subgroup Enrollment Trends Figure 7Grade Level Achievement Figure 9Subgroup Achievement Figure 10Subgroup Achievement
Navigation to Data 4SS CNA Report www.data4ss.org Click on Dynamic Inquiries Click on blue Data Inquiry Tool link at the top of the page Login Left hand side tool bar click on CNA Report Click on Student Enrollment
continued Select ISD Select District Select School 5 years of enrollment data will be available for the school you selected
Navigation Top Navigation Bar Click on Enrollment by Subgroup –Subgroups currently available in Data 4SS CNA Ethnic groups State District –Subgroup that will be available in Data 4SS CNA SWD (Students with Disabilities) EDD (Economically Disadvantaged) Male Female
Figure 3, Figure 4 and Figure 5 Not available in Data 4SS CNA Report
Navigation Top Navigation Bar Click on Subgroup Analysis –Three year trend Subgroup proficiency data for the lowest grade level in the building will display automatically –Use the top Navigation bar to move to other grade levels
Subgroup Proficiency Analysis Reading, Writing, ELA
Subgroup Proficiency Analysis Math, Science, Social Studies
PA 25 The requirement for every school district in Michigan to issue an annual report has existed since 1990 in Public Act 25 (MCL 380.373). Federal law also required schools to publish an annual report in the No Child Left Behind Act of 2001. School districts must prepare and publicly disseminate the report no later than the beginning of 2007-08 school year to all schools and parents of all students. (If separate reports are published for PA 25 and for NCLB, the PA 25 report must be published no later than October 15, 2007.)
Required Information for Every School Assessment Data Adequate Yearly Progress (AYP) Data Teacher Quality Data School Programs Parents
Assessment Data Details Aggregate and disaggregated student achievement at each proficiency level on state assessments. Student achievement must be disaggregated by race, ethnicity, gender, disability status, migrant status, English proficiency, and status as economically disadvantaged. Most recent trend in achievement in each subject area and for each grade level. Report of each individual school results of locally administered student competency tests and/or nationally normed achievement tests – PA 25 does not require disaggregated data.
Assessment Data Details (Cont.) Adequate Yearly Progress (AYP) Data –Disaggregated information on graduation rate and student attendance used to determine AYP compared to state graduation rate and attendance rate. –Comparison between actual achievement of each group (excluding gender and migrant) and state’s annual measurable objectives. –Comparison of building, district and state achievement data on state assessments and other indicators of AYP. Other indicators are attendance rates at the elementary and middle school level, and graduation rates for high school.
Teacher Quality Data The professional qualifications of all teachers in the district and in each school. The percentage of teachers teaching with emergency credentials. The percentage of core academic classes NOT taught by highly qualified teachers, disaggregated by high- poverty compared to low-poverty schools in the district.
School Programs Accreditation Status –PA 25 requires that schools report on state accreditation status. (Education YES!) –A school may also report on accreditation by the North Central Association Commission on Accreditation and School Improvement or another specialized accreditation authority approved by the US Department of Education. District pupil retention data –Number and percentage of pupils enrolled in post-secondary programs and/or college level equivalent courses, if the school is a high school (dual enrollment). –The status of the core curriculum and the school improvement plan.
Parents Information on parent-teacher conference attendance rates.
Additional Information A school may include additional data, if it chooses. These guidelines are simply the pieces of data that must be included in the report. School districts are encouraged to publish the annual report(s) online and to ensure that parents know that the information is available both online and in paper format.
Activity Data Collection Plan Determine the data sources for components of the CNA School Profile that are not included in the Data 4SS CNA Report –Procedure Determine data set to be used (current or prior year) Determine the data source Determine person responsible Determine when the data will be collected