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A Brief History of AI

Learningtogo

Humans have been using machines to augment our capabilities for a long time, so it’s only natural that we’ve come to a point where we’re looking to replicate our cognitive processes in some of those machines. Alan Turing predicts that machines might one day mimic the cognitive functions of humans. A Brief History of AI.

Cognitive 165
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Skills Capability Building – Knowledge Workforce VS Frontline Workforce

Disprz

fall in the category of knowledge workers. While employees directly facing the customers like delivery executives, restaurant waiters, retail sales reps, etc are considered frontline workers. A drastic change in the learning patterns of the frontline and knowledge workers has been visible pre and post-pandemic.

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AI-Generated Content Strategy in Higher Ed Marketing

Think Orion

These algorithms analyze data patterns and learn to generate content, automating the creative process. Selecting the right AI tools and platforms AI platform tools enable knowledge workers to analyze data, formulate predictions, and execute tasks faster and more accurately.

Market 59
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Kuljit Chadha | AI-powered right skilling suite that supports enterprise learning

Disprz

When we look at learning patterns, there are a few dimensions we focus on. If you look at the blue-collar workforce 90% of learning happens on the mobile phone and the data that we have seen with respect to a knowledge worker is 50-50. So the skill building is pretty much driven through AI and cognitive science. .

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Re-imagining Work & Learning in a Networked World

ID Reflections

Loss of tacit knowledge Attrition, retirement, siloed pockets – all lead to the loss of tacit knowledge so critical to organization success 5. Loss of talent Smart knowledge workers leave for orgs where scope for learning and mastery are higher 6. I have captured a few possible ones in the diagram below.

Network 202
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Multi-Generational Learning in the Workplace

Janet Clarey

The “younger” generation does not have a high level of use of collaborative knowledge creation tools (“2.0”) and don’t adopt radically different patterns of knowledge creation and sharing. Don’t ground transformation of education arguments around “younger” generations’ expectations and patterns of technology use.

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Top 74 eLearning Posts from September 2010

eLearning Learning Posts

Here’s what four cognitive psychologists concluded: “The contrast between the enormous popularity of the learning-styles approach within education and the lack of credible evidence for its utility is, in our opinion, striking and disturbing. Making Feedback Work - The Anti-Patterns , September 27, 2010. Learning styles: Worth our time?