Why microlearning is the next big thing

A goldfish’s attention span is nine seconds, whereas the average human attention span in 2000 was 12 seconds. With the rise of smartphones and technology, it came down to 8 seconds in 2013, which is even shorter than that of a goldfish, according to a 2015 study by Microsoft Corporation.

If organizations want to attract, develop, and retain talent in this generation, they will have to adapt to the changing training needs of this target demographic. The traditional learning methods are cognitively onerous and are no longer working efficiently. Moreover, long learning sessions give people too much information. There’s a limit to how much a human brain can process in one go. 

What if there was a better way?

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Top Women Influencers in Manufacturing – Part 1

 “It is not inevitable, but it is highly likely, that manufacturing will remain male dominated for some time to come.” – Carol Burke, Head, Unipart Manufacturing

Representing 47 percent of the general workforce and only a third of the manufacturing workforce, women still remain an untapped resource. In order for the manufacturing industry to reach its full potential, women must be given equal opportunities for future employment. Women bring creativity, a different perspective, and thought leadership to the workplace, and make manufacturing stronger. From body shop shift leaders to industrial engineering and everything in between, women are now leading the manufacturing sector.

women in manufacturing

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Top green initiatives undertaken by manufacturing companies

Although it has taken many years of pollution and global warming to capture awareness in a way that truly reflects the urgency of the situation, it now finally seems that most manufacturing companies recognize the degree to which they are responsible for environmental problems and the need for action to reduce environmental damage.

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How predictive analytics can benefit manufacturing

Manufacturing has always been a complex world. It is only getting more complex with so much data being generated everyday, and this is certainly going to increase significantly in the future. At the center of it, surviving means being able to leverage all this data and adapting your workforce to data-driven manufacturing. Two factors are converging that make big data analytics a perfect fit for manufacturing. First are growing market pressures, including global competition, regulations, thin margins, and accelerated design cycles, among others. In order to respond, manufacturers have to be able to make data-driven decisions quickly. The second factor is the growth of the Industrial Internet of Things (IIoT), referring to how everything is going digital and being networked. As a result, more data is being generated than ever before by equipment, automation, systems, and even the products themselves. This data just needs to be harnessed to support the decision-making process.

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Gamification in eLearning

While playing a game, eating chocolate, or exercising, your body releases endogenous morphine, commonly known as endorphins. Endorphins are neurotransmitters, or chemicals that pass along signals from one neuron to the next. If these endorphins are released when someone is engaged in a learning activity, the learner will not only have more fun, but they actually retain more information This is key to maximizing the potential of endorphins in eLearning through gamification.

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Foundry walk-through on an Oculus Rift

We always knew we wanted to give THORS learners a way to experience a foundry in virtual space. We envisioned it as a Foundry101-level course that any new hires starting in the industry would be able to take for quick understanding of the manufacturing process. Finally, in 2015 we purchased an Oculus Rift Development Kit. With the Cast Expo coming this April, we decided to see what we could create to help share this valuable knowledge with foundry professionals. 

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How to get more women into the manufacturing industry

Earlier in our series featuring women in manufacturing you read about why the manufacturing industry needs more women. Now let’s talk about how to get more women to work for manufacturing organizations.

As per a report published by the Manufacturing Institute, while women represent nearly 47% of the total US labor force, they make up less than a third (27%) of the manufacturing workforce. With women representing less than a third of the manufacturing workforce, it is clear manufacturers are missing out on a critical talent pool, which could aid in closing the much-discussed skills gap.

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