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Binomial Logistic Regression of Teaching Trajectories of Mathematics Teacher in National High Schools

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  • Phillip S. Cabrera

    (Sultan Kudarat State University)

  • Velessa Jane N. Dulin

    (Sultan Kudarat State University)

Abstract

This research explored the teaching career paths of Mathematics teachers in Secondary schools in South Cotabato National High Schools, with their application of procedural and conceptual knowledge and how they are connected to chosen teacher profile variables. Utilizing a correlational design research, the study gathered information from 227 Mathematics teachers in six municipalities. Four main instruments were employed: (1) a teacher profile from gathering personal, professional, and teaching-aid data; (2) lesson plan rubrics measuring whether teachers’ planning reflected procedural or conceptual approaches; (3) test questionnaire rubrics scaling items into lower- or higher-order thinking skills; and (4) a perception survey measuring teachers’ beliefs regarding the value of procedural versus conceptual instruction. Findings showed that while most teachers reported having high to moderate respect for conceptual knowledge-including greater understanding, practical application in the world, and higher-order thinking-most lesson plans and test questionnaires predominantly consisted of procedural tasks.

Suggested Citation

  • Phillip S. Cabrera & Velessa Jane N. Dulin, 2025. "Binomial Logistic Regression of Teaching Trajectories of Mathematics Teacher in National High Schools," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(6), pages 1714-1722, June.
  • Handle: RePEc:bjf:journl:v:10:y:2025:i:6:p:1714-1722
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