Home⇛Journal of Interdisciplinary Perspectives⇛vol. 4 no. 6 (2026)

Chernoff Faces for Student Satisfaction: Evaluating Student Affairs and Services Programs in a Local College

Mark Raymond S. Tan | Jonathan A. Madronero | Andrea Alexa Joan V. Ermino | Roshmond Roi Entrina

Discipline: Education

 

Abstract:

This study addressed the need for a clearer way to interpret multiple student satisfaction indicators across demographic groups. It aimed to use Chernoff face visualization to present college students’ satisfaction with student affairs and services programs at a local college in Cagayan de Oro City, Philippines. Using a descriptive survey design, the study gathered data from 256 students through a 70-item questionnaire covering learning spaces, campus safety and security, guidance and counseling, registrar services, library services, canteen, health services, ICT, athletics, finance, and other student support services. Mean scores were computed and translated into Chernoff face features to show satisfaction patterns by age, program, and sex. Results showed generally high satisfaction across student groups. By age, students below 18 reported very high satisfaction with Health Services (M = 4.38) and Campus Safety and Security (M = 4.33), while students aged 18–19 gave the highest ratings to Guidance and Counseling (M = 4.56) and Library Services (M = 4.58), the highest mean in the study. Students above 19 gave more critical ratings, especially for Physical Resources (M = 1.67), the lowest mean recorded. By program, BTVTED students showed the highest satisfaction, particularly with Library Services (M = 4.53) and Campus Safety and Security (M = 4.46). By sex, both males and females reported high satisfaction overall, with males rating Campus Safety and Security (M = 4.41) and Registrar Services (M = 4.28) highly, while females rated Finance Services (M = 4.24) highly. Athletics and Canteen services received comparatively lower ratings within the high satisfaction range. The study concludes that Chernoff face visualization can support clearer interpretation of student satisfaction data and help identify service areas needing improvement.



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