AI-Enhanced Faculty Satisfaction Survey on Employment and Benefits with Cultural Considerations: A Foundation for Context-Sensitive Faculty Development Programs

Ma. Theresa Eustaquio; Juanito Jr. Tandoc

doi:10.63931/ijchr.v7iSI3.355

Authors

Ma. Theresa Eustaquio Isabela State University, Echague Campus https://orcid.org/0000-0001-9340-4722
Juanito Jr. Tandoc Isabela State University, Echague Campus

DOI:

https://doi.org/10.63931/ijchr.v7iSI3.355

Keywords:

Faculty Satisfaction, Higher Education, AI-Enhanced Analytics, Data-Driven Development, Philippine University

Abstract

This study assesses faculty satisfaction with employment conditions and benefits at a State University in Northern Philippines, providing a foundation for data-driven and culturally responsive faculty development initiatives. Utilizing AI-enhanced analytics, the research examines satisfaction across workplace factors such as leadership, compensation, career development, and workplace conditions. The survey, conducted with 135 randomly selected faculty members, employed a 5-point Likert scale and was supplemented by in-depth interviews to validate quantitative findings. Results indicate high satisfaction levels across several domains, with the workplace environment receiving the highest mean score (4.25). Faculty members expressed appreciation for supportive leadership, collegial collaboration, and a sense of institutional pride, which reflect not only organizational strengths but also cultural values deeply embedded in Filipino academic life. Qualitative responses revealed that satisfaction is tied to bayanihan (communal unity), pakikipagkapwa (shared identity and empathy), and utang na loob (debt of gratitude), highlighting how professional fulfillment extends beyond individual achievement to include family well-being, respect from colleagues, and long-term service to the institution. Compensation and career development were viewed positively, though some participants emphasized the need for clearer promotion pathways, competitive salaries, and additional resources to ensure sustained growth. The integration of AI analytics provided granular insights into faculty concerns and satisfaction drivers, offering actionable recommendations to improve institutional policies and practices. Overall, the study underscores the importance of aligning data-informed strategies with Filipino cultural values to enhance faculty satisfaction, strengthen institutional loyalty, and ensure the holistic well-being of educators in higher education.

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