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"We live in an era where robotics and artificial intelligence will replace many of our current jobs. Global connectivity will continue to allow companies to outsource labor to other countries. Our students will likely change jobs every five to seven years. The corporate ladder is gone and in its place, is a complex maze. They will inhabit a world of constant change. But how do we help students navigate that maze? We often hear that our current students will work in jobs that don't exist right now. But here's another reality: our current students will be the ones who create those jobs. Not every student will create the next Google or Pixar or Lyft. Some students will be engineers or artists or accountants. Some will work in technology, others in traditional corporate spaces and still others in social or civic spaces. Some of them will work in high-skilled manufacturing. But no matter how diverse their industries will be, our students will all someday face a common reality. They will need to be self-starters and self-managers. This is why metacognition is so vital. Metacognition happens when students analyze tasks, set goals, implement strategies and reflect on what we're learning."

"In 2006, Facebook was in its infancy, Twitter was being launched, and nobody had iPhones. Ten years on, the world is a very different place, and so is the workplace. Jobs exist now that we'd never heard of a decade ago. One estimate suggests that 65% of children entering primary school today will ultimately end up working in completely new job types that aren't on our radar yet. This pace of change is only going to get faster thanks to rapid advances in the fields of robotics, driverless transport, artificial intelligence, biotechnology, advanced materials and genomics, according to the World Economic Forum's latest annual Human Capital Index. From Uber drivers to millennial generation experts, here's a selection of 10 occupations that weren't around in 2006"

"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."

"On Tuesday, China's state-run news outlet Xinhua announced the latest addition to its news team: Xin Xiaomeng. But Xin never went to journalism school - or any school - because "she" is not a real person. Instead, she's an artificial intelligence created by Xinhua and search engine Sogou - making her the world's first female AI news anchor."

"These projects are downloadable step-by-step guides, with explanations and colour screenshots for students to follow. Each project is a stand-alone activity, written to last for a single lesson, and will guide children to create a game or interactive project that demonstrates a real-world use of artificial intelligence and machine learning."

"An artificial intelligence algorithm has outperformed humans in a reading comprehension test for the first time"

"As society anticipates a future filled with artificial intelligence, experts are theorizing ways that we humans can outperform the computers that are being programmed to perfection. Some believe educators should focus on building soft skills like empathy and interpersonal communication so humans and robots can complement one another. However, other education thought leaders are ready to beat computers at their own game by teaching people to think like intelligent machines. Why do so many of our kids struggle with math problem-solving? Because they don't know where to start; they don't know how to decompose the problem. Heidi Williams The term for getting humans to think like computers has been coined Computational Thinking, and the idea is taking off. Author Heidi Williams can attest to its popularity after her book on the subject, No Fear Coding Computational Thinking Across the K-5 Curriculum, sold out at the International Society for Technology in Education conference. Inside the book, Williams breaks down computational thinking standards into four parts: 1. Formulating problems through data analysis, abstract models and algorithmic thinking; 2. Collecting, analyzing and presenting data; 3. Breaking down problems into parts and extracting information to understand the system in place; and 4. Using algorithmic thinking to develop sequences and testing automated solutions."

"Artificial intelligence (AI) and machine learning are all around us - from Siri on your iPhone to Google Map suggestions, to recommendations for purchases during your Amazon check-out. While many of us may think AI and machine learning mean more robots and self-driving cars, at a fundamental level, they are about data - and ways to make meaning of data. In this workshop, we'll use a hands-on project based approach to learn how to put data to use for us in our everyday lives."

"When it comes to productivity, humans don't come close to robots. Machines don't need sleep, won't slack off or ask for a raise and generally don't need vacation days so they can sunbathe in Bali. According to a study from Oxford University and the Oxford Martin School, 47% of jobs in the United States are "at risk" of becoming "automated in the next 20 years." PwC has similar findings, estimating that 38% of U.S. jobs are at risk of being replaced by robots and artificial intelligence in the next 15 years. And while two-thirds of Americans believe robots will take over most of the workforce in the next 50 years, they're also in denial: 80% say their job will "probably" or "definitely" be around in five decades. Here are five robots that are coming to take some jobs from unsuspecting humans: "

"Augmented Reality (AR) is the imposing of digitally generated images into a viewer's real-world surroundings. Unlike Virtual Reality, which creates a completely artificial environment, AR uses the existing environment and overlays it with new information. Augmented reality apps are usually written using special 3D programs which allow developers to superimpose animation in the computer program, to an AR "marker" in the real world. It is now popularly being used by advertisers to create 3D renders of products, such as cars, the inside of buildings, and machinery. This provides consumers with a 360-degree product view. The term 'Augmented Reality' was coined by Boeing researcher Thomas Caudell in 1990, to explain how head-mounted displays of electricians worked during the assembling of complicated wiring. Since then, the technology has been used in CAD programs for aircraft assembly, architecture, digital advertising, simulation, translation, military, and various medical procedures. Tech giant Google, unveiled Google Glass in 2013, propelling AR to a more wearable interface - glasses. It works by projecting on the user's lens screen while responding to voice commands, overlaying images, videos, and sounds."

"What if you could squeeze an extra ten minutes out of your busy day and devote them to more meaningful interactions with students, colleagues and parents? While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Carving out extra time in a teaching day may seem like a tall order for many educators, who often must steal hours from their evenings, cutting into their own professional development time and tipping the scales on their work-life balance. While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Add the time required for all the other parts of the job-lesson planning, providing students extra support, grading, and parent and staff meetings-and teachers can expect to put in a 12- to 16-hour workday. Recent advancements in data analytics and artificial intelligence, however, may help teachers gain back some of those hours. These technologies offer new efficiencies and insights into classroom learning, allowing educators to harness the power of data from their learning management systems (LMSs) and freeing them up to focus their time on activities that truly lead to better learning outcomes."

"The start of a new school year is a great time to think about long-term plans for the upcoming year, but also the plans we need to make for our students for years to come. Each day there are news alerts on topics such as artificial intelligence and machine learning, augmented and virtual reality, digital citizenship and literacy and their relation to education. These are the trends and terms that are already a part of our world and will become an increasing part of our future. Beyond these technology-themed trends, we're learning more about social-emotional learning (SEL), mental health awareness, mindfulness and trauma-informed teaching. These are important issues and educators must stay informed on best practices and ways to make these 'themes' part of our daily practice. As educators today, it's no longer about simply planning instruction with our students in mind. We also have to consider how changing technology trends and important societal issues will impact our students both now and beyond high school. How can we best prepare them to not only find success for themselves but also make an impact on others? So the pressure is on, to really consider how we can best prepare students not just for this school year, not just for life after high school graduation, but well beyond. We need to prepare our students for the year 2030 and the future. But how?"

"No matter what you call it - chroma key, green screen or blue screen - it's the film and video technique that gives your local TV weatherperson something in common with the Avengers movies: artificial backgrounds inserted behind the action. You simply record your subject in front of a solid green or blue screen, and then add a touch of software magic to change the background. Dozens of free or inexpensive apps allow you to use the technique on your own clips. It's a great way to jazz up your presentations and other videos - or to keep children busy with a weekend project filming their own toys in action scenes. Here's how to get started."

"A high-quality computing education equips pupils to use computational thinking and creativity to understand and change the world. Computing has deep links with mathematics, science and design and technology, and provides insights into both natural and artificial systems. The core of computing is computer science, in which pupils are taught the principles of information and computation, how digital systems work and how to put this knowledge to use through programming. Building on this knowledge and understanding, pupils are equipped to use information technology to create programs, systems and a range of content. Computing also ensures that pupils become digitally literate - able to use, and express themselves and develop their ideas through, information and communication technology - at a level suitable for the future workplace and as active participants in a digital world."

"Invasion. Takeover. These are the kind of words that have been bandied about in news headlines about robotics and artificial intelligence in the last few years. The coverage has been almost relentlessly negative, focusing on the threat to jobs, squeezing out the human component. While such potential is there, if robotics and AI do become a threat, then we believe this would be a threat of society's own choosing."

"Last Friday, we mentioned how Google's artificial intelligence software DeepMind has the ability to teach itself many things. It can teach itself how to walk, jump and run. Even take professional pictures. Or defeat the world's best player of the Chinese strategy game, Go. The science of teaching computers how to do things is called Deep Learning. And you can now immerse yourself in this world by taking a free, 3-month course on Deep Learning itself. Offered through Udacity, the course is taught by Vincent Vanhoucke, the technical lead in Google's Brain team."

"Like a lot of children, my sons, Toby, 7, and Anton, 4, are obsessed with robots. In the children's books they devour at bedtime, happy, helpful robots pop up more often than even dragons or dinosaurs. The other day I asked Toby why children like robots so much. "Because they work for you," he said. What I didn't have the heart to tell him is, someday he might work for them - or, I fear, might not work at all, because of them. It is not just Elon Musk, Bill Gates and Stephen Hawking who are freaking out about the rise of invincible machines. Yes, robots have the potential to outsmart us and destroy the human race. But first, artificial intelligence could make countless professions obsolete by the time my sons reach their 20s."

"The Google Home is a $130 (£130 or AU$199) smart home speaker that showcases the artificially intelligent, voice-activated Google Assistant. It lets you set timers, control lights and thermostats, play trivia games, watch YouTube videos and more -- all with simple voice commands. Google hasn't released a full list of commands for Home, so we had to do our best to assemble and test everything we could think of. If we're missing anything, make sure to leave it in a comment so we can update the list as we go. Here's the (almost) complete list of voice commands for the Google Home so far."