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October 15, 2025International journal of research and scientific innovationOpen Access

Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics

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Authors

HLHarold R. LuceroNGN. C. Gagolinan.MLMargaret M. Lucero

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Overview

This development demonstrates improved selection and promotion decisions in faculty using predictive analytics, suggesting enhanced transparency.

Key Points

  • The decision support system enhances faculty selection, promotion, and reclassification through data-driven insights.
  • User evaluation showed a mean acceptance score of 4.45, indicating strong user support for the system's usability.
  • Utilizing logistic regression, it effectively evaluates faculty performance and tenure, ensuring fair decision-making.
  • Testing based on ISO 25010 yielded a weighted mean of 4.56, categorizing the system as Highly Acceptable across multiple quality dimensions.

Cite This Study

Lucero et al. (2025) studied this question.

synapsesocial.com/papers/68efa18f9d05deea71d13e3chttps://doi.org/10.51244/ijrsi.2025.120800339
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