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Corporate leaders aren't the only ones who need to consider how to adjust to the new world the 4th Industrial Revolution is ushering in. Educators, schools, government officials, and parents must re-think education and how to prepare the next generation to take advantage of the plethora of opportunities and overcome the challenges enabled by ever-increasing technological change. Here are some of the changes happening because of the 4th Industrial Revolution and eight things every school must do to prepare for the 4th Industrial Revolution.

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AI Revolution 101 - AI Revolution https://t.co/zDYqh61k9s #ai #elt #edtech #esl https://t.co/0MLELo5KKf

"Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose. To aid in these efforts, we present this inaugural EDUCAUSE AI Landscape Study, in which we summarize the higher education community's current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education. This survey was distributed from November 27 to December 8, 2023, and focuses on the impacts AI has had on higher education since the mainstreaming of generative AI tools."

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"Gen i Revolution is an online game designed to help middle school and high school students develop and test their knowledge of concepts in personal finance. Gen i Revolution contains fifteen "missions" in which students have to select "operatives" to assist them. Each mission is designed to help someone make better personal financial decisions. Some of the mission topics include credit, budgeting, and investing for the future. "

"Do you like change? If you do, then living in the present is an exhilarating experience.  For those who don't, buckle up as we are only going to see unprecedented innovations at exponential rates involving technology.  You can't run or hide from it. The revolution, or evolution depending on your respective lens, of our world, will transform everything as we know it. We must adapt, but more importantly, prepare our learners for a bold new world that is totally unpredictable.  Welcome to the Fourth Industrial Revolution.  "

"The Digital Education Revolution, Cont'd: Meet TED-Ed's New Online Learning Platform"

"We need a revolution.  We are the revolution. Creativity for all.   Deep learning and thinking. Human Connection. Community.  The right kind of school for every single learner, big or small.  The kind where each and every teacher is valued as a learner and a human being, just as we must value and honor the needs of each and every student."

"The micro-computer revolution of the 80's radically improved how teachers and schools carry on the business of learning. We now have iPads in classrooms that will not only improve it, but it has the potential to change the business of learning in schools. The question is, "Are teachers ready to adjust their teaching for this new learning revolution?""

"Science is one of the areas where the impact of technology has been markedly observed. It triggered an unprecedented revolution and reshaped people's knowledge about the world. It has also enhanced the way science is being instructed inside schools and colleges. Experimentations are being facilitated by the use of technology and students are able to learn and get engaged in simulated experiments that mimic the real life problems. This revolution is being carried on to the mobile platforms. There are now several science apps that students and teachers can use to perform a wide variety of science tasks. Below, for instance, is a set of apps that enable students to explore the human body in 3D. Check them out and share with us if you have any additions. Enjoy"

"The revolution that began with the web in the mid 1990s has exploded with the advent of small, ubiquitously connected devices in every space and size. The kind of technological changes that took a lifetime in previous centuries has occurred in the span of a decade, and this rate of change is accelerating, not slowing down. With the turn of this new century, this digital revolution took another increasing pitch transforming thus the way we live and do business."

"When I talk about the maker movement in schools I do talk about tools and spaces, but I try to make the point that it's about giving agency to kids in a system that most often considers students to be objects of change, rather than agents of change. One of our reasons for writing the book Invent To Learn: Making, Tinkering, and Engineering in the Classroom  was to try to create momentum for the return of progressive principles of education, principles that have been yanked away from kids and teachers by politicians, corporations, and Silicon Valley gurus who think they know how to fix everything with an app. I think this is a historic time, a second Industrial Revolution, where everything is coming together right at the right time. And like the Industrial Revolution, it will not be just a change in technology, but will resonate in politics, culture, economies, and how people live and work worldwide"

The final round of government funding is currently being distributed to schools all around Australia. So far over 967,000 computers have been bought, infrastructure built and (most) teachers up-skilled to benefit from the acquisition. But as the funds come to an end, many school principals are wondering if the process has been beneficial, and how can they continue to support and progress the Digital Education Revolution?

"It might just be the precursor to the next industrial revolution and slowly but surely, 3D printing is expanding its presence into the realm of manufacturing. Now it seems that one of the first major industries to benefit from 3D printing is the same one that spawned the assembly line revolution - the automotive industry. Israeli company Stratasys, already a major player in the field and its subsidiary, RedEye On Demand, will be part of a project aimed at putting the first 3D printed car on the roads within two years, in partnership with KOR EcoLogic. "A future where 3D printers build cars may not be far off after all. There is a vision for a more fuel-efficient car that would change the world . URBEE 2, the name of the car, shows the manufacturing world that anything really is possible. There are few design challenges [3D printing] capabilities can't solve.""

"A "robot revolution" will transform the global economy over the next 20 years, cutting the costs of doing business but exacerbating social inequality, as machines take over everything from caring for the elderly to flipping burgers, according to a new study."

"The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers - harnessed to algorithms refined over the past decade - are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity - and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" - the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously. As a subset of the more general field of artificial intelligence (AI), machine-learning techniques can be applied wherever there are large and complex data sets that can be mined for associations between inputs and outputs. In the case of your bank, the algorithm will have analysed a vast pool of both legitimate and illegitimate transactions to produce an output ("suspected fraud") from a given input ("high-value order placed at 3 a.m."). But machine learning isn't just used in finance. It's being applied in many other fields too, from healthcare and transport to the criminal-justice system. Indeed, Ge Wang - a biomedical engineer from the Rensselaer Polytechnic Institute in the US who is one of those pioneering its use in medical imaging - believes that when it comes to machine learning, we're on the cusp of a revolution."