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MDasein (2026) Archival Publication

Foundational Research on Division Data Pipelines

Peer-reviewed documentation examining the integration of structured administrative aggregation and low-cost language-model synthesis within Philippine Department of Education divisions.

2026

DOI

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Primary Publication

LEADS: Leadership Enhanced by AI Data Summaries in Division Governance

Abstract and Methodology Summary

This study examines the deployment of an automated data pipeline across twelve DepEd division offices. By standardizing raw institutional metrics and routing structured parameters through external language-model APIs, division superintendents achieved a marked reduction in drafting time for evidence-informed policy memoranda. The paper details the architectural constraints, prompt engineering safety rails, and governance protocols required for public education deployment.

Bibliographic Metadata

Empirical Validation

Quantitative Findings Across Pilot Cohorts

12

Division Offices Evaluated

94.2%

Rubric Accuracy Score

68%

Reduction in Draft Time

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