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Digital Learning from the Perspective of Affective and Social Neuroscience

KnowledgeOne

Using training data and a hyper-powerful mathematical system, generative AI is able to understand a complex query and statistically predict the best possible response, whether it involves solving a mathematical or scientific problem, coding, or producing text, image, audio or video. But in a way, the same can be said of our brains.

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Two great ideas for your next sustainability course

Good To Great

Two great ideas for your next sustainability course Posted on March 16, 2011 by Stephanie Dedhar | Leave a comment Sustainability is one of those hot topics of the moment, and I’ve recently come across a couple of things that I think could be adapted really effectively for a sustainability e-learning course. Bookmark the permalink.

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Top 68 eLearning Posts from April - Hot Topics iPad Google Buzz

eLearning Learning Posts

April 2010. The Org Structure of Enterprise 2.0 - trainingwreck , April 18, 2010 I’m lucky to be a member of the 2.0 Key Social Learning Roles - Daretoshare , April 4, 2010 Premise : Learning communities or networks thrive because its members possess certain skills and capabilities. Best of eLearning Learning.

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Learning data analysis: Tools to improve performance and compliance training

Learning Pool

It is based on the Business Model Canvas (Osterwalder, Pigneur et al, 2010), which will be familiar to many. Say as a starting point I wanted to get a quick look at whether or not my recently introduced performance support materials are more or less effective than what I had before (why). 6 Principles of the Learning Analytics Canvas.

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Cammy Beans Learning Visions: The Real World, SecondLife and FaceBook/MySpace

Learning Visions

If SL has this effect on other women, then it wont be the most effective place to send female employees as part of an elearning experience. However, ideas taken from Second Life, minus the cultural trappings, could be effective. For comparison, if you search on "Chicago women," you get a completely different set of results.

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