Higher Education under the Fourth Industrial Revolution Era: Exploring Skills Demand of Graduates for the Future Economy

Authors

  • Md Abdul Kuddus Mawlana Bhashani Science and Technology University image/svg+xml Author

DOI:

https://doi.org/10.67120/jkkniubr.v2.i1.a20

Keywords:

4IR, Curriculum, Employer, Graduate skills, Economic development

Abstract

Research problem/purpose: The Fourth Industrial Revolution (4IR) is reshaping global economies by integrating advanced technologies, including artificial intelligence, robotics, big data, and the Internet of Things (IoT), resulting in significant transformations in how work is done and in the skills employers require. This study examines the evolving skill requirements for graduates to effectively contribute to and thrive in the future economy, shaped by the dynamics of the 4IR.

Design/methodology/approach: Drawing on a mixed-methods approach that includes a literature review, stakeholder interviews, and labor market analysis, the research identifies key technical, cognitive and socio-emotional competencies essential for future graduates. Additionally, five regression models were developed and tested.

Findings: Accepting the alternative hypotheses suggests that graduates' skills and competencies positively impact the achievement of the goals of a technology-based future economy. Findings reveal a growing emphasis on digital literacy, critical thinking, adaptability, interdisciplinary collaboration, and lifelong learning.

Originality/value: Policy recommendations are proposed to foster a responsive education system that equips graduates with the competencies needed to sustain economic growth and innovation in the 4IR era.

Practical implications: The study highlights the need to reorient curricula, pedagogy, and industry partnerships to bridge the skills gap and improve graduate employability.

Research limitations: Purposive and convenience sampling from limited Bangladeshi institutions constrains generalizability. The cross-sectional design and reliance on questionnaires and interviews may introduce bias and miss evolving 4IR skill demands. Regression models excluded other factors, including infrastructure and policy conditions.

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Published

2026-09-12