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Ithaca City School District

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Little training provided in data analysis and data verification. Missing data elements ... fall to Elena G., Tom C., Debbie R., and HS Guidance office clerk ... – PowerPoint PPT presentation

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Learn more at: http://www.icsd.k12.ny.us
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Title: Ithaca City School District


1
Ithaca City School District
  • Data Audit Overview
  • April 21, 2009

2
Data Verification
  • Observations
  • Elena notifies individual people of data errors
  • Responsibilities unclear to building personnel
  • Less than 5 polled use COGNOS or NySTART
  • Little training provided in data analysis and
    data verification
  • Missing data elements
  • Recommendations
  • Create Data Administrator position
  • Provide NyStart and COGNOS training to district
    and building administrators
  • Establish Data Teams
  • Create proactive process for data verification
    and analysis
  • Communicate yearly data verification schedule

3
Data Analysis
  • Observations
  • Data created by Cheryl Covell
  • Unclear process for reviewing data consistently
    in the district
  • Inconsistent message from administrative and
    teaching staff regarding data analysis
  • About 8 (65 teachers total) of teachers report
    using data analysis tools, such as, COGNOS and
    Data Mentor
  • 33.8 of teachers responded never when asked,
    How frequently are you engaged in data
    conversations?
  • Recommendations
  • Provide training in Data Mentor for teaching
    staff
  • Train teachers, appropriate clerical staff, and
    administrators in COGNOS
  • Create Data Teams at district and building levels
  • Increased ownership of data by building level
    administrators
  • Go Visual

4
Data Entry
  • Observations
  • Great deal of data entry in centralized locations
  • Majority of data entry fall to Elena G., Tom C.,
    Debbie R., and HS Guidance office clerk
  • Generally all district personnel do not
    understand the connection of various screens to
    the Data Warehouse
  • Organizational distance from the source can
    decrease data accuracy
  • Recommendations
  • Decentralize registration updates and data
    verification
  • Develop regularly planned district level clerical
    meetings
  • Define accuracy of student data as administrative
    work
  • Provide training to building administrators to
    explain the value of accurate data
  • Create a flowchart that depicts data area
    responsibilities
  • Develop a CIO/Data Verification Team

5
Response to Intervention
  • Observations
  • Established teams throughout the district
  • Use of RTI-M software as a recording tool for AIS
  • Recommendations
  • Develop a consistent process K-12 for
    intervention teams
  • Use universal screening tool 3-4 times a year
  • Require data to be linked to decisions
  • Maximize RTI-M software by including all
    assessment data for all students

6
Registration
  • Observations
  • Centralized process
  • Confusion of District Registrar Responsibilities
  • Data overflow leads to inaccurate and uncorrected
    data
  • Lost categories of students
  • Recommendations
  • Complete data responsibility chart at district
    and building level
  • Train building personnel in accountability rules
  • Develop a process that schedules regular
    communication between data management team
  • Plan district level data meetings to discuss
    management issues, share strategies, establish
    consistent procedures, share any requirement
    changes from SED

7
Assessment Coordination
  • Observations
  • Centralized Process
  • Problematic for Test Scoring Department at the
    Regional Information Center (RIC)
  • Often unclear who to call with questions about
    Ithaca answer sheets
  • Recommendations
  • Decentralize testing rosters verification,
    identification of special education and testing
    accommodations, quality control of scoring
    sheets, accounting for test booklets and scoring
    sheets

8
Chief Information Officer
  • Job Description
  • Big Picture of accountability policy, rules,
    regulations (e.g., 3-8, High School, Special
    Education, unique data like ODP, LEP, etc.)
  • Technical skills to collect, manage, and
    retrieve, present, and report data
  • Systems thinking to plan and manage district data
    systems
  • Manage the training of individuals in system

9
Chief Information Officer
  • Job Description (continued)
  • Oversee state reporting CTED, PIR, BEDS, VADIR,
    PD System, accountability, etc.
  • Eventually all from DW including attendance,
    teacher data, formative assessments, RtI, etc.
  • Establish, train, and facilitate collaborative
    data teams at district and school level to use
    data to drive instructional improvement through
    evidence based decision making processes
  • Change Agent

10
Chief Information Officer
  • Qualifications
  • Technical knowledge and skills (from
    accountability rules to data analysis)
  • Professional development skills
  • Vision and leadership skills to shift culture
    toward collaborative, data-driven professional
    learning, planning, and decision-making teams
  • Facilitation skills and experience
  • Certification in Education Administration
  • Instructional background

11
Chief Information Officer
  • Models
  • CIO
  • Oswego, Fulton, North Syracuse
  • Departments
  • the Big 5 and NYC
  • Our team of Data Coordinators
  • 11 districts in the CNY region
  • 1 4 days per week
  • replicated across the state NERIC, East Suffolk
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