Employment Pathways For School, Vocational, And Higher Education Graduates In The Context Of Digital Economic Development
Published in International Conference on Future Prospects in Education, Science, Economics, Medicine, and Artificial Intelligence
Abstract
The development of the digital economy is transforming the structure of skills demanded in the labour market and creating new requirements for the transition of graduates from education to employment. This study examines approaches to accelerating the labour-market integration of school, vocational, and higher education graduates and aligning educational competencies with employers’ requirements. The study proposes a conceptual digital ecosystem that integrates graduate competency profiles, standardized vacancy requirements, education and employment information systems, and artificial intelligence-based matching mechanisms. A central element of the proposed ecosystem is the “Digital Employment Passport,” which consolidates verified educational information, competencies, certificates, portfolio evidence, practical experience, and employment preferences. The proposed AI-matching model applies natural language processing, semantic representations, and multi-criteria scoring to assess the compatibility between graduate profiles and vacancy requirements. The conceptual Match Score combines hard skills, soft skills and language competencies, geographical and work-format compatibility, and salary expectations. The study also proposes a Gap Analysis module for identifying competency deficiencies and recommending appropriate learning pathways. The findings indicate that digital employment systems should move beyond simple vacancy aggregation toward competency-based matching, continuous employment monitoring, and personalized career recommendations. The study concludes that effective implementation requires data standardization, institutional integration, data protection, algorithmic fairness, transparency, and human oversight.
Keywords
digital economy; graduate employment; labour market; digital competencies; artificial intelligence; AI matching; digital employment passport; skills mismatch; career services; digital platform.