As the labor market works to crawl back from this year’s sharp downturn, getting the U.S. workforce prepared for and placed in secure, lasting jobs will be a complex process …
Long Life Learning offers readers a glimpse into a future where the average working life has no beginning, middle, or end. Contemplating a shift from the educational all-you-can-eat-buffet of college …
In our report, On-ramps to Good Jobs: Fueling Innovation for the Learning Ecosystem of the Future we examine the ways the current education and workforce training ecosystem is falling further …
You can’t judge a job by its title. The same role can actually require different combinations of skills, called “skill shapes,” depending on the industry, employer and region. People have …
Why understanding local labor markets will be critical to our economic recovery.
Technology continues to transform jobs across industries. Educators and institutions on campuses and online, in postsecondary institutions and workforce training, are challenged to keep up and stay relevant. With advancements …
There is no clear ecosystem designed to connect the dots between learning and work. While internships and apprenticeship models have a long history, they are not always widely available. The University of Cincinnati co-op program seeks to change that.
GLEAC collaborates with schools, businesses, and governments to identify areas of growth for users tied to specific job roles or industries. It then helps measure and report with ongoing feedback on learner outcomes and overarching organizational impact over time.
Soft skills are at a premium in today’s job market. In a 2013 survey, nearly 44 percent of senior executives reported that candidates’ lack of soft skills, such as communication and critical thinking, made it difficult to fill jobs. But many workers are already developing these skills every day. Here are some ways to call attention to those skills.
By working closely with employers, SV Academy is creating an approach to training and hiring that emphasizes merit over educational background and past tech work experience when evaluating candidates.