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Latest News: digital-learning

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How Unbundled Learning Is Reshaping Associations: A Trends Discussion

Modern professional associations exist to establish standards of knowledge and excellence and to develop learning pathways that permit members to acquire, develop, and perfect that knowledge and achieve that excellence. 

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Associations: Ready to Jump into the eCommerce Trend?

Circa 1998, we were admonished, “Don’t get in strangers' cars, especially if you met them on the internet.”

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3 Key Learning Platform Features to Drive Retention for PHR Candidates

There’s no such thing as a full-time PHR preparation course. Aspiring PHR certificants can’t just pull themselves out of the workforce for a few weeks or months to devote themselves to study. If they want to prepare for a PHR certification, they’ll have to make time to do so in-between meeting the demands of their full-time jobs and answering the responsibilities of their full-time lives. 

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Digital Transformation of Learning Series: Part 2 - Executing on Your Digital Learning Vision

In part one of this blog series, we covered the strategy for implementing your digital transformation plan. As you move between in-person training, virtual instructor-led training, self-paced instruction, and continuous lifelong career learning, it’s important to remember that the massive, digital change you bring to your organization will open possibilities for your learning program (and your business) that would never be possible in a traditional model. 

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Adaptive eLearning: Sorting Content for Personalized Learning Pathways

It’s evident that everyone in the tech world is obsessed with data: it is the fuel behind the ad you just saw and the email you just received. It’s how Facebook knows who your friends might be or how Amazon knows the shampoo you like. It can be creepy, but data is powerful.

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Adaptive eLearning: How to Leverage Content For a Personalized Study Plan

In Part 1 of our two-part series on BenchPrep’s adaptive learning technology, I explained how we rank our content based on importance and difficulty using the data we collect using a process we call Learning Engine Optimization (LEO).

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