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Research Article | Open Access |

EDM-Based Graduate Curriculum Planning Framework

Author 1: Levi E. Elipane Author 2: Antriman V. Orleans Author 3: Adonis P. David Author 4: Wilma S. Reyes Author 5: Crist John Pastor Author 6: Felina P. Espique Author 7: Juan Primitivo P. Petrola
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 17, No. 7 · Published 2026

DOI: https://doi.org/10.14569/IJACSA.2026.0170755

Abstract

Graduate curriculum planning is critical to ensuring that teacher education programs remain responsive to professional standards, workplace demands, and emerging educational priorities. This study applies Educational Data Mining (EDM) techniques as an exploratory decision-support approach for graduate curriculum planning for in-service teachers in the Philippines. Using survey data from 624 teachers, the study examined professional development motivations, competency expectations, curriculum gaps, graduate learning outcomes, and barriers to participation in advanced studies. Guided by the Knowledge Discovery in Databases framework, the analysis involved data preprocessing, feature engineering, curriculum gap analysis, correlation analysis, and exploratory Random Forest variable ranking. Results revealed notable curriculum gaps in Diversity of Learners, Assessment and Reporting, and Curriculum and Planning within the Philippine Professional Standards for Teachers domains. At the graduate level, advanced professional competencies, research application, leadership, and expertise-based autonomy emerged as priority areas for curriculum enhancement. Financial constraints, workplace demands, and competing personal responsibilities were the most significant barriers to graduate study. The Random Forest results are interpreted as exploratory rankings within a constructed curriculum-needs score rather than as independent predictive validation. Based on the findings, a Data-Driven Graduate Curriculum Planning Framework is proposed to support curriculum prioritization, continuous improvement, and evidence-informed decision-making.

Keywords

How to Cite this Article

Elipane, L. E., Orleans, A. V., David, A. P., Reyes, W. S., Pastor, C. J., Espique, F. P., & Petrola, J. P. P. (2026). EDM-Based Graduate Curriculum Planning Framework. International Journal of Advanced Computer Science and Applications, 17(7). https://doi.org/10.14569/IJACSA.2026.0170755

Elipane, Levi E., et al.. "EDM-Based Graduate Curriculum Planning Framework." International Journal of Advanced Computer Science and Applications, vol. 17, no. 7, 2026, https://doi.org/10.14569/IJACSA.2026.0170755.

@article{Elipane2026,
  title     = {EDM-Based Graduate Curriculum Planning Framework},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {7},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Levi E. Elipane and Antriman V. Orleans and Adonis P. David and Wilma S. Reyes and Crist John Pastor and Felina P. Espique and Juan Primitivo P. Petrola},
  doi       = {10.14569/IJACSA.2026.0170755},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170755}
}

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