Skills for the Future? A Lifecycle Perspective on Systems of Vocational Education and Training

2020 ◽  
Author(s):  
Amanda Chuan ◽  
Christian Lyhne Ibsen
Author(s):  
Sandra L. Poirier ◽  
Mary Ann Remsen

Today, no issue is as important to a global community's continued prosperity as education. Research has illustrated those societies who invest in a 21st century education benefits immediately by transforming an outdated system to a more sustainable approach. As the primary consumer of the world's education system, the business community needs capable, enterprising employees to compete in a global economy. Technical and Vocational Education and Training (TVET) educators worldwide must develop challenging and relevant learning environments to prepare the future workforce of tomorrow. This strategy must incorporate workforce and economic development policies in K-12 education to be sustainable. The intent of this paper is to highlight challenges that are facing the future of the global workforce and provide guidance for a more sustainable TVET system. Twenty first century pedagogy and employability skills, universally accepted certifications, public-private partnerships, and program outcomes which have the potential to significantly increase a workforce prepared to thrive in rapidly changing times will be emphasized.


Author(s):  
Alison Fuller ◽  
Lorna Unwin

This paper examines the Coalition Government's plans for vocational education and training for 14- to 19-year-olds in England. It argues that new types of educational institutions will enable the emergence of new forms of segmentation in which the vocational track is likely to become split into 'technical education' and lower level 'practical learning'. Whilst the new government has increased funding for apprenticeship, it has so far failed to address the systemic problems which have kept this as a minority track for 16- to 18-year-olds. The paper argues that the government-commissioned Wolf Review of 14–19 Vocational Education in England provides support for segmentation.


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