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2018 eLearning Predictions: Updated Hype Curve

Web Courseworks

Here it is: Our 2018 eLearning predictions set in terms of Gartner’s hype cycle. As always, we try to use this blog post to speak from our experience as a learning technology partner to organizations that provide continuing education and professional development. Not financial transactions—those get offloaded to payment gateway.

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6 Training Trends for 2018 (and 3 you’re still not doing right)

Unboxed

Join our very own Dave Romero and Nikki Shaw for a fun, interactive webinar with Training Magazine where they’ll go more in-depth with these hot 2018 training trends. As we turn the calendar into 2018, training leaders are looking for the next big things in learning and development. 1 : Convert classroom learning to virtual.

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A Look Back At The Years Best From Workplace Learning

Mike Taylor

Last week I shared a look back at last year’s best from Learning Science And Instructional Design. This week it is time to review the best from Workplace Learning. Workplace Learning. The 10 most read articles in the Modern Workplace Learning Magazine in 2018. Here are here top 10 most read articles of 2018.

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Free L&D webinars for May 2018

Limestone Learning

Tuesday, May 1, 2018, 11AM – 12PM PT: The ROI Dilemma: Measuring Results of Your Learning Programs (Free for ATD members) Significant resources are being allocated to training and development across most organizations, but many companies still find themselves unsure of results. How developing EI saved a career.

Webcast 43
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12 Ways to Get the Most Out of Your Authoring Tool

Knowing what you need from an eLearning authoring tool can be hard, especially when there are so many options on the market. gomo’s new ebook aims to save you time and hassle by identifying 12 must-have authoring tool features.

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The 6 hottest learning trends for 2018 – Part 2: Artificial Intelligence (AI)

Limestone Learning

This is Part 2 in our series on the 6 hottest learning trends for 2018. A subcategory of AI is machine learning (ML) , which works on the principle of giving machines data and then letting them learn for themselves. Again, this type of machine learning is considered “narrow AI” because it has a narrow focus.

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Making face-to-face learning better with mobile

Ed App

AI-skeptics might assume that mobile learning is taking the human out of training, leaving us devoid of true connections. Mobile microlearning used strategically can actually serve to enhance face-to-face learning and in-person interactions; and, I would go so far as to claim that a beautiful symbiosis exists between the two.