Archive for the ‘college and career readiness’ Category

Source:  http://www.economist.com/news/leaders/21714341-it-easy-say-people-need-keep-learning-throughout-their-careers-practicalities

Good reading for educator

Excerpt:

Not everyone will successfully navigate the shifting jobs market. Those most at risk of technological disruption are men in blue-collar jobs, many of whom reject taking less “masculine” roles in fast-growing areas such as health care. But to keep the numbers of those left behind to a minimum, all adults must have access to flexible, affordable training. The 19th and 20th centuries saw stunning advances in education. That should be the scale of the ambition today.

 

Source:  https://www.linkedin.com/pulse/silicon-valley-rightour-jobs-already-disappearing-andrew-yang?trk=eml-email_feed_ecosystem_digest_01-hero-0-null&midToken=AQF56T4q1Y8mxA&fromEmail=fromEmail&ut=1RlY9TlFdVm7E1

Major disruption!

Excerpt:

Literally the smartest people in the world think an unprecedented wave of job destruction is coming with the development of artificial intelligence, robotics, software and automation. My friends in Silicon Valley have read the Second Machine Age and Rise of the Robots and they see a wave coming.

The White House published a report last month that reinforced this view. Some of the headline stats:

  • 83% of the jobs where people make less than $20 per hour will be subject to automation or replacement.
  • Between 9% and 47% of jobs are in danger of being made irrelevant due to technological change, with the worst threats falling among the less educated.
  • Between 2.2 and 3.1 million car, bus and truck driving jobs in the U.S. will be eliminated by the advent of self-driving vehicles.

Source: Executive Office of the President of the United States; Artificial Intelligence, Automation, and the Economy; December 2016

Something we should teach our students!  Read more ideas here:  http://gudbe.com/2013/10/05/how-to-set-goals-in-life/

What skills will a factory worker of the future need? Check this interesting article:  https://www.nytimes.com/2017/01/30/education/edlife/factory-workers-college-degree-apprenticeships.html?emc=eta1&_r=1

A great visual experience to show what our cities and workplaces of the future will be like.  Enjoy!  http://www.theatlantic.com/sponsored/microsoft-2017/city-in-the-cloud/1133/?null&sr_source=lift_facebook#!/

Excerpt:

What would be your best-case scenario for 2030?

In a best case scenario, we will have a much flatter world, one where men and women can achieve their potential irrespective of race, ethnicity, religion, country of origin or country of residence, where pay is fair and there is an appropriate safety net for all.

This will not happen on its own, there are many forces operating against maintaining even the current state, such as the acceleration of artificial intelligence and robotics, rising income disparities across and within countries, and disturbing recent trends in populism, xenophobia and gender discrimination in several countries. But with the right multistakeholder collaboration, it is possible to get there and highly urgent that we do.

 

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Source:  https://www.weforum.org/agenda/2016/11/by-2030-will-we-all-be-our-own-boss?utm_content=buffer0b4d4&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

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More in “Workplace automation: Separating fiction from fact” at https://www.linkedin.com/pulse/workplace-automation-separating-fiction-from-fact-james-manyika?trk=eml-email_feed_ecosystem_digest_01-hero-0-null&midToken=AQF56T4q1Y8mxA&fromEmail=fromEmail&ut=1zY3Urap0jBTA1

Excerpt:

More jobs will change than will be automated away in the short to medium term. Only a small proportion of all occupations, about 5%, can be automated entirely using these demonstrated technologies over the coming decade, although the proportion is likely to be higher in occupations in middle-skill job categories. But we find that about 30% of the activities in 60% of all occupations could be automated, and that will affect everyone from welders to landscape gardeners, mortgage brokers–and CEOs; we estimate about 25% of their time is currently spent on activities that machines could do, such as analyzing reports and data to inform decisions.