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This report describes how entrepreneurship competence is embedded in vocational education and training (VET) in Austria. It complements existing knowledge with examples of methods, tools and approaches that can help policy-makers, VET providers and other stakeholders build better entrepreneurial learning ecosystems. Via Canadian Vocational Association / Association canadienne de la formation professionnelle 
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I believe that innovative, experiential learning, both off-campus and on-campus, will increasingly make marks worldwide. Many employers are not looking for those who simply “follow orders.” They need those who can think and act out of the box, those who bring a broad range of experience and skills to the table. What better way to set yourself apart from your competition? Via Bobbi Dunham
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Google’s 20 percent project idea has started to take education by storm. The gist of it, as outlined in this New York Times article: Google allows its employees to use 20 percent of their “on the c...
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"At its most basic level, a startup is a learning machine—one that helps its founders understand and serve the real world in a manner that enables itself to continuously gather information and grow. If it doesn’t learn and adjust, a startup ends ...." Via Leona Ungerer
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Starting a business is a dangerous thing. A larger competitor might undercut your prices. Someone might sue you for patent infringement. Someone else could sue you because your products don’t do what you said it would. Or, well, the market may have no interest in what you’re selling. According to the U.S. Bureau of Labor Statistics, about half of all businesses fail within five years.
But Thomas Thurston thinks data science could remove a fair amount of the risk. For the past nine years, he’s been honing techniques for evaluating business plans statistically rather than intuitively. He calls it business model simulation, and you can think of it as something akin to Moneyball for investors.
He says his simulations correctly predicted that Snapchat, Uber, and Airbnb would be big—and that they’re now right about 66 percent of the time when predicting that a company will still exist within five years. When predicating that a company will fail, he adds, they’re right 88 percent of the time.
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