An Interdisciplinary Research on Students’ Employability in Technology Education to Advance Higher Education Enrollment Sustainability

• Main Authors: Yueh-Min Huang, Ming-Yuan Hsieh
• Format: Article
• Language: English
• Published: MDPI AG 2020-02-01
• Series: Sustainability
• Subjects: social cognitive theory (sct); technology education; students’ employability; higher education enrollment sustainability
• Online Access: https://www.mdpi.com/2071-1050/12/5/1806

Nowadays, with respect to the rapid development of technology education, the rigorous issue of students’ employability, and the swift awareness of University Social Responsibility (USR), a majority of higher education institutions have necessarily dedicated themselves to discovering the most effective sustainable strategies in order to survive in the current hyper-competitive and low birthrate era. Therefore, this research creatively employed the Social Cognitive Theory (SCT) to interdisciplinarily and mutually assay the correlationships among technology education, students’ employability, and institutions’ developmental sustainability. Further, it also cross-applied and consolidated the Factor Analysis (FA) approach and the Entropy Analysis (EA) model to comprehensively probe in-depth into the results from a large-scale questionnaire completed by various experts in order to delve into the most critical determinants of students’ employability in technology education to advance higher education enrollment sustainability. As a result, the most valuable finding of this research is to directly point out “poverty, unemployment, and educational equitability” as the three most materially considered factors by students during their higher education institution selection process. As a result, higher education institutions have necessarily developed the Concurrent Usages Convenience Technological Feature (CUCTF, Information Immediacy Usability Openness Technological Feature (IIUOTF), Course-Professionalization Technology Assessment (CPTA), and Course-evaluation Technology Analysis System (CTAS) of technology education to strengthen the covered Self-control Capability (SCC), Communication Expression Ability (CEA), Active Attitude and Ambition (AAA), and Problem-solving Ability (PSA) of students’ employability to interdisciplinarily explore the most critical determinants of students’ employability in technology education to advance higher education enrollment sustainability.