FACULTY ASSESSMENT OF THE TRADITIONAL ATTENDANCE MONITORING SYSTEM IN A PRIVATE HIGHER EDUCATION INSTITUTION: BASIS FOR THE DEVELOPMENT OF A TECHNOLOGY-BASED ATTENDANCE MONITORING SYSTEM

Attendance monitoring is an essential component of educational management, as it supports classroom administration, student accountability, and institutional record keeping. Despite advances in educational technology, many higher education institutions continue to rely on traditional manual attendance monitoring systems, which may present challenges related to efficiency, accuracy, and instructional support. This study evaluated faculty perceptions of the traditional attendance monitoring system implemented at Bohol Northern Star College during the Academic Year 2025–2026. Specifically, it assessed faculty evaluations in terms of ease of use and accessibility, accuracy and reliability in tracking attendance, and alignment with pedagogical needs and instructional efficiency. The study also examined whether significant differences existed in faculty evaluations when grouped according to age, sex, academic position, and length of service. A quantitative descriptive-comparative research design was employed involving thirty-six (36) faculty members selected through purposive sampling. Data were collected using a researcher-developed questionnaire that underwent expert validation and reliability testing. Descriptive statistics, including frequency, percentage, and weighted mean, were used to summarize the data, while the Mann–Whitney U test and Kruskal–Wallis H test were utilized to determine significant differences among respondent groups at the 0.05 level of significance. The findings revealed that faculty members generally expressed unfavorable evaluations of the traditional attendance monitoring system. Ease of Use and Accessibility obtained a composite mean of 1.80, Accuracy and Reliability in Tracking Attendance obtained a composite mean of 1.83, and Alignment with Pedagogical Needs and Instructional Efficiency obtained the lowest composite mean of 1.72, all interpreted as Disagree. These findings indicate that the existing manual attendance monitoring system is perceived as inadequate in supporting efficient attendance recording, ensuring reliable documentation, and facilitating instructional activities. Inferential analysis further revealed no statistically significant differences in faculty evaluations when respondents were grouped according to age, sex, academic position, and length of service, indicating that these perceptions were consistent across demographic groups. Based on the findings, the study recommends the development and implementation of a technology-based attendance monitoring system to improve efficiency, accuracy, accessibility, and instructional support while ensuring compliance with the Data Privacy Act of 2012 (Republic Act No. 10173). The findings provide empirical evidence that may guide higher education institutions in planning and implementing digital attendance management solutions that enhance administrative effectiveness and support quality educational service delivery.