Holistic Employee Capability Analyzer: An Ai-Driven Framework for Optimizing Training Needs Identification in Philippine Educational Institutions

Abstract

The Holistic Employee Capability Analyzer (HECA) is an AI-driven framework designed to assist the Human Resources Department (HRD) in efficiently identifying and determining appropriate training for teaching personnel by integrating data from resumes, historical training records, and feedback from student and department head evaluations. This study utilized a descriptive-correlational research design, gathering data from HR personnel and teaching staff through structured survey questionnaires administered across selected Philippine educational institutions. Findings revealed that fragmented data sources and inefficient manual processes significantly hindered HR departments during the training needs analysis process. Results also indicated a positive correlation between competencies identified through integrated data analysis and the actual training recommended or attended by teaching personnel. Consequently, the proposed HECA framework provides an improved competency assessment method, significantly enhancing HR efficiency and accuracy in precisely identifying training needs.