From Legacy to Intelligent SIMS:A Framework for AI Integration and IT Governance in Philippine Diocesan Schools

Authors

  • Christopher M. Villaronte Colegio de Santa Rita de San Carlos, Inc. Philippines Author
  • Erick Jason J. Batuto Colegio de Santa Rita de San Carlos, Inc. Philippines Author

DOI:

https://doi.org/10.5281/zenodo.19874381

Keywords:

Legacy Systems, Student Information Management, AI Governance, Cybersecurity, COBIT, Diocesan Schools, Philippines

Abstract

Legacy Student Information Management Systems (SIMS) remain operational across Philippine higher education institutions, yet their prolonged use has created an accumulating deficit in cybersecurity governance, privacy engineering, and institutional accountability. This paper presents a governance-centered design framework for transforming a legacy SIMS—in continuous use since 2015 at a Philippine diocesan school—into an intelligent academic data infrastructure. Adopting design science research supported by mixed methods, the current-state assessment is structured using ISO/IEC 25010:2023, NIST CSF 2.0, NIST SSDF, NIST AI RMF 1.0, COBIT 2019, the Philippine Data Privacy Act of 2012, and recent NPC guidance on AI and privacy engineering. The proposed five-layer artifact preserves the registrar database as the system of record while introducing security controls, governance mechanisms, AI-assisted duplicate detection, anomaly scoring, intelligent retrieval, workflow prioritization, and online algorithms for incremental validation. The paper contributes a practical modernization pathway that balances technological intelligence with human accountability, offering strategic value for diocesan and similarly resourced institutions navigating digital transformation.

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Published

2026-04-29

How to Cite

Villaronte, C., & Batuto, E. J. (2026). From Legacy to Intelligent SIMS:A Framework for AI Integration and IT Governance in Philippine Diocesan Schools. International Journal of Education, Research, and Innovation Perspectives, 2(4), 1610-1618. https://doi.org/10.5281/zenodo.19874381

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