Learn to Shine
| Position | Organization | Year | Country |
|---|---|---|---|
|
Senior Data Analyst |
Save the Children International |
2024 |
El Salvador |
Project Overview
The Learn to Shine BI solution was developed to provide real-time visibility into school dropout risks and overall program performance. By integrating data from the Early Warning System (EWS), student participation records, and program implementation reports from 500 schools, the solution enables stakeholders to track critical indicators such as enrollment, attendance, and retention. Consolidating these diverse data sources into a centralized model ensures that decision-makers have a reliable foundation for monitoring progress, identifying at-risk students, and addressing challenges early.
Designed with both national policymakers and local education administrators in mind, the BI dashboards deliver actionable insights through interactive visualizations. Users can analyze dropout trends, compare performance across regions, and evaluate the effectiveness of key interventions. In addition to reducing manual reporting time and enhancing data accuracy, the solution supports evidence-based decision-making and strengthens the program’s ability to adapt interventions to real-time context. The analysis is primarily focused on three areas: student enrollment, attendance and early warning signals, and the automated evaluation of four main program domains (Catch-up Clubs, Hackathons for Social-Emotional Learning, Phone Tutoring, and Positive Youth Development activities).
Objectives
Provide real-time visibility into student enrollment, attendance, and dropout risks through integration of the Early Warning System (EWS) and school-level reporting.
Automate monitoring and evaluation of the program’s four main domains (Catch-up Clubs, Hackathons for Social-Emotional Learning, Phone Tutoring, and Positive Youth Development activities) to reduce manual reporting time and improve data accuracy.
Enable data-driven decision-making for both national policymakers and local education administrators by delivering interactive dashboards with actionable insights.
Support adaptive program management by identifying at-risk students, regional trends, and the effectiveness of intervention strategies in a timely manner.
Standardize and centralize data from 500 educational centers and over 150,000 students to ensure consistent measurement, transparency, and scalability.
Key Insights
A. Enrollment
Enrollment Trends: Visualize student enrollment across schools and program levels, identifying growth or decline patterns.
Program Participation: Assess participation rates in key initiatives such as Positive Youth Development (FEPADE) and flexible learning modalities, highlighting areas of strong engagement and regions requiring additional support.
B. Attendance / Early Warning System (EWS)
Integration with SIGES & EWS: Combine school management data with early warning signals to detect and address dropout risks proactively.
Attendance Tracking: Monitor real-time attendance patterns, generate reports on absenteeism, and flag students at risk of disengagement.
C. Automated Evaluation of Program Domains
The BI solution automates monitoring of the four main intervention areas, enabling consistent evaluation and actionable insights:
Catch-up Clubs: Track participation and outcomes in reading and math recovery sessions, while also monitoring socio-emotional support provided through community-based activities.
Hackathons (SEL): Evaluate implementation and outcomes of social-emotional learning initiatives, including access to educational materials and classroom integration.
Phone Tutoring: Monitor outreach and learning progress of students receiving academic tutoring outside of the regular classroom system.
Positive Youth Development (FEPADE): Assess student participation in leadership and civic engagement activities, including the establishment and strengthening of student councils.
