International Journal For Multidisciplinary Research

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Development and Evaluation of School Performance and Enhanced Consolidation, Tracking, Reporting and Analytics System (SPECTRA) for Data-Driven Management of Schools Division of Surigao City

Author(s) Sherly Seraspe Escandor, Romy Jun Arlan Sunico
Country Philippines
Abstract This study develops and evaluates the School Performance and Enhanced Consolidation, Tracking, Reporting, and Analytics System (SPECTRA) to address the monitoring and reporting challenges faced by the Schools Division of Surigao City. Using a descriptive-developmental approach and the Rapid Application Development (RAD) model, the researchers designed the system to streamline the Schools Monitoring, Evaluation, and Adjustment (SMEA) process. School heads, district supervisors, and Curriculum Implementation Division (CID) staff continuously provided input throughout the design phase, ensuring a user-centric solution that facilitates real-time data consolidation and performance reporting.
The researchers assessed SPECTRA using the ISO/IEC 25010:2011 software quality standards and found high ratings across all quality attributes, including functional suitability, usability, reliability, security, maintainability, and portability. Respondents from diverse demographic backgrounds consistently rated the system to a very great extent, indicating its broad usability and acceptance. Key system features—such as automated notifications, analytics dashboards, and a built-in digital assistant—simplify tasks for users with varying technical backgrounds.
The findings confirm SPECTRA’s technical robustness and adaptability. Expert evaluators also validate its architectural soundness, maintainability, and security. Based on user feedback, the developers enhanced the system by expanding analytics access to school heads, demonstrating its responsiveness to evolving needs. Overall, SPECTRA offers a scalable and sustainable digital solution that supports data-driven educational planning and decision-making.
Keywords Software Quality Evaluation, Data-driven decision-making, Educational Data Analytics
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-06
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E-ISSN 2582-2160
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