AI News, Education 4.0 artificial intelligence
The Future of Learning
Did you know that the Fourth Industrial Revolution is shaping today, and the future of learning is just one powerful aspect of this massive Revolution?
For starters, artificial intelligence or AI, with computers carrying out some of the intelligent tasks that humans can, like speech recognition and visual perception, will become more common.
Big Data, massive datasets which enable analysts to see overarching patterns and trends about anything and everything, will continue to play a bigger role.
The Internet of Things (IoT) referring to increased interconnectivity of machines and humans similar to The Jetsons world and its symbiosis of people and technology, is gradually becoming a reality.
To put this into perspective, let’s mull over the fact that in 2013 alone, we generated more data than all of history before this combined.
Industry 4.0 is driving job creation, and in some cases, job replacement, with one estimate predicting 60% of all jobs, could become at least a third automated.
Education 4.0 must, therefore, focus on equipping the current and future workforce with skills to keep up and evolve along with the workplace.
And Education 4.0 will be defined by teaching students not what to study, but how to learn and how to adapt to the rapidly-changing technological ecosystem we are approaching.
Considering how quickly we generate, update, and rectify information, even professionals have to keep up to date with new knowledge continuously.
This flexibility teaches learners essential organizational and time management skills necessary in the dynamic workplace of today.
Personalized learning systems adjust to each student’s pace and style of learning since not everyone learns the same way.
Even Facebook has funded some Personalized Learning programs to help schools implement learning that is related to the real world and to student interests.
By learning through experience, students and learners of all ages pick up soft skills like problem-solving and social skills necessary in today’s workforce.
Educational institutions are beginning to structure their curriculum to involve more hands-on learning to help students adapt better.
Picking up core skills like knowing how to work in a team, balancing your workload and time, and knowing how to learn faster will weigh more than memorizing text.
We know now more than ever before how the brain formulates long-term memory and how the brain can continue to learn into our old age.
As we’ve mentioned previously, technology use and Big Data allow teachers to give individual attention to students in a way previously impossible in the traditional classroom.
Future You features an episode where the host uses the transcranial direct-current stimulation (TDCS) headset to boost the neural connections forming as she learns vertical jumps.
There’s still a long way to go before neuroscience technology has advanced enough to boost the formation of declarative (factual knowledge) and procedural (motor skills and actions) memory.
Virtual and augmented reality programs allow students to practically apply classroom concepts without physically needing, for example, to conduct surgery, or design a building.
Specialists suggest that the way forward involves remote learning for theoretical concepts and in-person education for practical skills.
Now that you know what the future of learning looks like, are you ready to become learning genius, with future based learning strategies available to you?
‘To impart the digital skills students need, teaching staff must be empowered’
They’re awash with cool technology and sleek, menacing robots – which usually form an unimaginably huge, faceless and compassion-less army.
Let humans be humans While the World Economic Forum (WEF)’s 2018 Future of Jobs report urges businesses to identify areas of work that computers can do as well as, if not better than, humans, it also predicts that machines will do the more mundane, repetitive tasks, leaving people to innovate, create, analyse, and have productive debate with other humans.
Recent Office for National Statistics (ONS) research states that 1.5 million jobs in England are at ‘high risk of some of their duties and tasks being automated in the future’ – and teaching is highlighted as an area to watch.
Predicting the future All good predictions start with what we know, and every teacher knows that the learners on their programme – whether there are two of them or 200 – won’t all start or finish in the same place, or experience learning in the same way.
Machines release learning content at a time that’s appropriate to each individual student – whether that’s video or a simulation or written documents – tailoring the pace and type of learning so that everyone is challenged.