Jody Ann E. Caspe^1,, Laila S. Lomibao¹

Traditional decision-making in education often relies on simple scores or subjective opinions, which may not adequately address the multifaceted challenges faced by schools today. Multi-Criteria Decision-Making (MCDM) offers a systematic approach for evaluating multiple, sometimes conflicting, criteria simultaneously. However, its application in Philippine mathematics education remains limited. This systematic review examines five key studies (2016–2025) that employed MCDM techniques in Philippine educational contexts, focusing on their scope, methodologies, applications, computational tools, and challenges. Results indicate that MCDM is primarily utilized for resource allocation, campus site selection, online learning engagement, and quality action research, using methods such as Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), fuzzy DEMATEL, and MMDE algorithms, with computational tools like MATLAB and RapidMiner. These approaches have led to optimized resource distribution and enhanced student engagement metrics. Persistent challenges include limited data availability, computational complexity, and stakeholder engagement. The review recommends expanding MCDM applications to curriculum development and mathematics learning, improving data accessibility, fostering collaboration, and developing user-friendly tools to maximize the impact of MCDM in Philippine education.

multicriteria decision making, multicriteria decision analysis, Philippine mathematics education