A Computer Science Research Study

About the Research.

This study evaluates a two-dimensional adaptive review framework with retrieval-augmented generation for the Philippine Nursing Licensure Examination (PNLE) , it uses an adaptive engine powered by the same mathematical model used in the NCLEX-RN. The proposed adaptive engine is theoretically capable of estimating a learner's ability and providing higher-fidelity longitudinal feedback compared to traditional testing methods.

If you are a 3rd or 4th year student nurse who have not yet taken the nursing board exam, you are eligible to participate in this study.

Researcher Louel John A. Ines
School Year 2025-2026

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Session data is collected for anonymized research purposes under institutional protocols.