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Government Initiative To Endorse eLearning In Saudi Arabia

Upside Learning

Estimated to grow @ of 33% during 2010-2014, the size of the eLearning market in Saudi Arabia is likely to reach US$ 670 Million by 2014. Last year, the Saudi Government had allocated $40 Billion (SR 150 billion) in its 2011 Budget to education and training.

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The Emergence Of Mobile Learning For Higher Education In Kingdom Of Saudi Arabia

Upside Learning

Saudi Arabian universities have been early adopters in the region followed by corporate. Saudi Arabia’s handset sales are expected to grow at a CAGR of 7% to US$1.1bn by 2014, as mobile subscriber penetration reaches 214%. Source: Ambient Insight’s 2010-2015 worldwide market forecast for Mobile Learning Products & Services).

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Mobile Learning Stats that Will Make You Rethink Your Training Strategy

SHIFT eLearning

Recent research with 500 Learning & Development staff shows that 70% of them are either using or planning to introduce mobile learning by 2014. Mobile workforce adoption trends. Anytime, anywhere workers in the US and Europe grew from 15% to 29% of employees between 2011 and 2012. The mobile opportunity. Mobile usage.

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The Learning Curve and The Pivot Point

The Performance Improvement Blog

We believe that learning is a process of employees adopting what they learn in a formal setting and then applying that learning to the workplace during the period of informal learning. What is adopted needs to be tested and expanded upon – in a sense relearned in a new context – and goes through a series of similar, shorter learning curves.

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Recognizing training success with digital badges

Matrix

The concept of digital badges has become popular back in 2011 when Peer 2 Peer University and The Mozilla Foundation co-authored a paper titled “ An Open Badge System Framework ”. The Mozilla Foundation took things one step forward and developed an open technical standard called Open Badges in 2011. Origins of digital badges.

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A Brief History of AI

Learningtogo

1763: Mathematician Thomas Bayes develops Bayesian inference, a decision-making technique that becomes adopted for teaching machines (and people) how to make decisions using pattern recognition and predictions based on probability. 2011: IBM Watson defeats the best human players in the popular television game show Jeopardy!

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7 Strategies to Facilitate “Working Out Loud”

Learnnovators

I spent the greater part of the weekend mulling over the practice of working out loud, what makes some folks adopt the habit with ease while others struggle, and what could be some of the possible enabling factors that support working out loud. Inspirational Role Models – There are always a few early adopters and trend setters.