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Determining Factors Influencing Young Generation’s Future Intentions to Pursue Industrial and Manufacturing Engineering-Related Education: A Structural Equation Modelling Approach

Year: 2025

Type: book-chapter

Abstract: Recent advancements in industrial and manufacturing engineering, crucial to economic growth in developing nations like the Philippines, face a challenge with fluctuating student interest in related educational programs. This study aimed to identify the factors influencing Filipino students’ motivation and intentions to pursue careers in these fields. Using purposive sampling, the research collected data from 345 students, integrating extended Self-Determination Theory to examine intrinsic and extrinsic motivators. Employing Structural Equation Modeling (SEM), the study assessed the impact of teacher influence, family support, perceived autonomy, and relatedness on students’ career intentions and perceptions. The results revealed significant impacts of teacher and family support on student motivation and intentions, while perceived autonomy and relatedness positively influenced career perceptions. Notably, perceived competence showed minimal impact. These findings highlight the importance of mentorship, family involvement, and aligning educational practices with students’ career aspirations to enhance the attractiveness of industrial and manufacturing engineering programs. This study suggests that educational policies should focus on strengthening the supportive educational environment to better align with students’ needs and aspirations, thereby improving student enrollment and retention in Industrial and Manufacturing Engineering-related education.

Source: Advances in transdisciplinary engineering

DOI: 10.3233/atde250518

Authors: Princess R. Dimla, Edison M. Esberto, June Raymond Mariano, Yogi Tri Prasetyo, Zachariah John A. Belmonte

Institutions: National University, Technological University of the Philippines, Yuan Ze University

Language: English

Topic: Career Development and Diversity

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Quality education, Decent work and economic growth

Open Access status: diamond

OpenAlex ID: W4413705142