E-Learning-Inclusivo (Mashup)
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E-Learning-Inclusivo (Mashup)
Aprendizaje con TIC basado en los aprendices.
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Rescooped by juandoming from Vocational education and training - VET
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USA. After Everything: Projections of Jobs, Education, and Training Requirements through 2031

USA. After Everything: Projections of Jobs, Education, and Training Requirements through 2031 | E-Learning-Inclusivo (Mashup) | Scoop.it
By 2031, 72 percent of jobs in the US will require postsecondary education and/or training. Between 2021 and 2031, there will be 18.5 million job openings per year on average, and some 12.5 million of these annualized openings will require at least some college education. After Everything: Projections of Jobs, Education, and Training Requirements through 2031 includes a national overview of job projections and their educational requirements across industries, occupational clusters, and detailed occupational groups. These latest projections demonstrate the central role postsecondary education plays in preparing the workforce of the future.

Via Canadian Vocational Association / Association canadienne de la formation professionnelle
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Rescooped by juandoming from Vocational education and training - VET
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USA. Fifty-State Scan of State Work-Based Learning Policies

USA. Fifty-State Scan of State Work-Based Learning Policies | E-Learning-Inclusivo (Mashup) | Scoop.it

Thirty-five states have policies in place that support apprenticeship and other kinds of work-based learning. The scan explains each type of work-based learning policy, identifies which states have work-based learning policies in place (including descriptions of those policies) and reveals which states have opportunities to adopt new policies. 


Via Canadian Vocational Association / Association canadienne de la formation professionnelle
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Generative AI and the future of work in America

At a glance
During the pandemic (2019–22), the US labor market saw 8.6 million occupational shifts, 50 percent more than in the previous three-year period. Most involved people leaving food services, in-person sales, and office support for different occupations.
By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI. However, we see generative AI enhancing the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright. Automation’s biggest effects are likely to hit other job categories. Office support, customer service, and food service employment could continue to decline.
Federal investment to address climate and infrastructure, as well as structural shifts, will also alter labor demand. The net-zero transition will shift employment away from oil, gas, and automotive manufacturing and into green industries for a modest net gain in employment. Infrastructure projects will increase demand in construction, which is already short almost 400,000 workers today. We also see increased demand for healthcare workers as the population ages, plus gains in transportation services due to e-commerce.
An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations than those in highest-wage positions, and most will need additional skills to do so successfully. Women are 1.5 times more likely to need to move into new occupations than men.
The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.

Via Canadian Vocational Association / Association canadienne de la formation professionnelle
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