Educometrika
PT|EN

Education data analysis for school system management

Organizing and analyzing enrollment, attendance, progression and learning data to answer concrete management questions.

Education indicatorsData science in educationEducational assessmentConsulting for education departments

01What problem this area addresses

School systems produce a lot of data, but it usually sits in systems that do not talk to each other, with different definitions and little documentation. The result is reports that describe numbers without answering management's questions.

Education data analysis organizes this information, checks its quality and turns it into answers the department can use.

02Questions education departments often face

  1. Q1In which schools and classes are learning difficulties greatest?
  2. Q2Where are absenteeism and dropout highest, and at what times of year?
  3. Q3Did results improve, or did the profile of tested students change?
  4. Q4What gaps appear between student groups and territories?
  5. Q5Is the available data reliable enough to support a decision?

03How Educometrika approaches the problem

  1. 01

    Question before data

    Defining with leadership what needs to be answered and at what level of detail.

  2. 02

    Organization and quality

    Data integration, handling inconsistencies and documenting variables.

  3. 03

    Analysis

    Statistical methods suited to the question, with attention to data limitations.

  4. 04

    Communication

    Results presented clearly to decision-makers, with objective recommendations.

04Data and methods

Data

  • School Census
  • National and local assessments
  • Daily attendance
  • Enrollment and transfers
  • Socioeconomic data
  • School and staff records

Methods

  • Descriptive statistics
  • Data integration and record linkage
  • Regression and multilevel models
  • Equity analysis
  • Data visualization

05Possible deliverables

Integrated, documented databaseAnalytical reportsTechnical briefsData dashboardsPresentations for leadership and councils

06When this kind of support makes sense

  • When data exists but does not answer management's questions.
  • Before setting priorities or targets.
  • After external assessment results are released.
  • When the department wants to build its own analysis routine.

07Related topics

08

Is your system facing a similar problem?

Describe the context and the open questions. The team will assess how it can contribute.

Talk to the team

All areas

Consulting for education departmentsTechnical support for state and municipal education departments across the whole policy cycle: from diagnosing the system to evaluating results.Education public policyDesign and implementation of education policies and programs that account for the real conditions of execution in schools.Educational assessmentPlanning and developing learning assessments that produce useful information for teachers, schools and management.Psychometrics and IRTMeasurement methods that ensure an assessment measures what it intends to and that results can be compared.Education indicatorsBuilding indicators that show the system's situation clearly and allow targets to be tracked over time.Policy and program evaluationEvaluations that check whether a policy was implemented as planned and whether it produced the expected results.Data science in educationData integration, statistical and predictive models and monitoring systems to support decisions in school systems.Artificial intelligence in educationUsing artificial intelligence on concrete school system problems, with risk assessment and without adding complexity for schools.