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Getting Learning Toolbox to Action – preparing stacks with and for Spanish apprentices

Saturday, June 11th, 2016

Learning Toolbox in Action – New project for Brunnenbauer apprentices in Rohrleitungsbau

Friday, June 10th, 2016

New stacks for new users of the Learning Toolbox – Two cases in Bau-ABC

Friday, June 3rd, 2016

Piloting with AchSo and getting feedback on Learning Toolbox – Part Three: Introducing Augmented Reality to construction vehicle drivers

Thursday, May 26th, 2016

Piloting with AchSo and getting feedback on Learning Toolbox – Part Two: Apprentices’ views on using the Learning Toolbox

Wednesday, May 25th, 2016

Piloting with AchSo and getting feedback on Learning Toolbox – Part One: Bau-ABC apprentices work with AchSo

Tuesday, May 24th, 2016

Start of Learning Toolbox pilots in Bau-ABC – Part Three: Technical issues, requests and ideas for further development

Thursday, April 7th, 2016

Start of Learning Toolbox pilots in Bau-ABC – Part Two: Feedback during a working visit to Bau-ABC

Wednesday, April 6th, 2016

Start of Learning Toolbox pilots in Bau-ABC – Part One: The Kick-off event 14.3.2016

Sunday, April 3rd, 2016

Possible use of Learning Toolbox in Bau-ABC training – three exemplary cases

Monday, February 22nd, 2016
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    Cyborg patented?

    Forbes reports that Microsoft has obtained a patent for a “conversational chatbot of a specific person” created from images, recordings, participation in social networks, emails, letters, etc., coupled with the possible generation of a 2D or 3D model of the person.


    Racial bias in algorithms

    From the UK Open Data Institute’s Week in Data newsletter

    This week, Twitter apologised for racial bias within its image-cropping algorithm. The feature is designed to automatically crop images to highlight focal points – including faces. But, Twitter users discovered that, in practice, white faces were focused on, and black faces were cropped out. And, Twitter isn’t the only platform struggling with its algorithm – YouTube has also announced plans to bring back higher levels of human moderation for removing content, after its AI-centred approach resulted in over-censorship, with videos being removed at far higher rates than with human moderators.


    Gap between rich and poor university students widest for 12 years

    Via The Canary.

    The gap between poor students and their more affluent peers attending university has widened to its largest point for 12 years, according to data published by the Department for Education (DfE).

    Better-off pupils are significantly more likely to go to university than their more disadvantaged peers. And the gap between the two groups – 18.8 percentage points – is the widest it’s been since 2006/07.

    The latest statistics show that 26.3% of pupils eligible for FSMs went on to university in 2018/19, compared with 45.1% of those who did not receive free meals. Only 12.7% of white British males who were eligible for FSMs went to university by the age of 19. The progression rate has fallen slightly for the first time since 2011/12, according to the DfE analysis.


    Quality Training

    From Raconteur. A recent report by global learning consultancy Kineo examined the learning intentions of 8,000 employees across 13 different industries. It found a huge gap between the quality of training offered and the needs of employees. Of those surveyed, 85 per cent said they , with only 16 per cent of employees finding the learning programmes offered by their employers effective.


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