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Companies that have gleaned the most from the technology have managed it actively through training, monitoring user behaviour and constant adjustment

it's important to go where users want to go

Collaboration tools also need sponsors - people entrusted with advancing their cause.

Stephen Heppell: "I guess I've sort of answered that, but let me say this in closing. We seem to have an education system built on 'met before' practice. Children in the exam room hoping there will be no surprises, teachers outside hoping they have prepared the children for everything. In practice we are in a world where we have not met before any of the current challenges: global warming, economic collapse, etc. And when these unexpected things happen, all folk seem to be able to do is carry on as before: the banks paying bonuses, people burning fuel etc. "To solve the 21st century's problems will take all our ingenuity, innovation, creativity and delight. And will need every single learner. The only certainty is that to carry on doing the 'old' way would be a reckless and foolish gamble. That is why I can be so certain that learning will and can change...

'If there is too big a disconnect between school and the rest of society, people start to think we have got our heads in the sand - and the boys think we are even bigger idiots than they do normally,'' he laughs.

''I remember when it was raised with me I did my principal thing about thinking more of the risks,'' Mr Bain-King says.

"Not only are people better than computers at detecting the subtleties that differentiate galaxies, they can do things computers can't do, like spot things that just look interesting,"

And the Zooniverse team has proven that the Zooites' classifications are as good as those by professional astronomers. "Their contributions are extremely important," says Lintott. "They're helping us learn how galaxies form and evolve. And they take their work seriously." But that doesn't prevent them from bringing a sense of adventure and just sheer fun to the research.

say goodbye to the traditional HR survey and expect new methods to assess, develop, and retain talent.

Big data demands a new breed of data scientists, and advancements in mobility, social, and sensing technologies rely on resetting the design and architecture of applications and user interfaces

Your social footprint can be a pro or con when you're looking for a new job, he said. Be wary of how you present yourself online, and take steps to improve your online presence.

How can you spot the fake games masquerading as educational games?

1. When walking through a demo of the game, the game designer stops to say "And this part is where the learning occurs."

2. "And then to add the motivational element, we added a game component to the lesson."

Though Facebook will occasionally talk about the transparency of governments and corporations, what it really wants to advance is the transparency of individuals – or what it has called, at various moments, “radical transparency” or “ultimate transparency”. The theory holds that the sunshine of sharing our intimate details will disinfect the moral mess of our lives. With the looming threat that our embarrassing information will be broadcast, we’ll behave better. And perhaps the ubiquity of incriminating photos and damning revelations will prod us to become more tolerant of one another’s sins. “The days of you having a different image for your work friends or co-workers and for the other people you know are probably coming to an end pretty quickly,” Zuckerberg has said. “Having two identities for yourself is an example of a lack of integrity.”

The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.

For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!