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"It's time we create learning environments that make mathematics accessible for all students "But I'm just not a math person." We've all heard this refrain-and possibly even echoed it ourselves. As a young student, I felt this way for many years. For some reason, math just never clicked for me. My 11th-grade math class with Mr. Peterson changed all that. Why was his class different? He worked hard to bring us examples of math in the real world, connecting concepts back to our lives and making them feel relevant and accessible to us. He gave us voice and choice in our learning, and it made all the difference for me. I can only imagine how much my confidence and enthusiasm for math could have been changed had I experienced a similar instructional approach in all the grades prior. I've come to understand that there is no such thing as a "math person," and that high-quality math instruction is key to helping learners shed that perception. We know from decades of research that success in mathematics is more linked to opportunities to learn in a meaningful way than to innate intelligence, and we know that effective educators can nurture mathematical abilities in all students."

"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."

"Over the next several months, across six issues, Forbes Insights and Intel will tap leading voices, highlight emerging trends and showcase compelling research to create a 360-degree look at artificial intelligence. Get started on this journey with issue one below."

""More than half of 8-12 year olds are exposed to cyber-risks," according to a 2018 report. These risks can include cyber-bullying, online sexual behaviors and video game addition. The threat is easy to see. Kids today spend hours a day online on computers and phones, much of it unmonitored. To protect your students from online threats you need to raise their Digital IQ. What is Digital IQ? According to the DQ Institute, an international think tank that aims to ensure every child acquires the skills they need to be informed users of digital media, "Digital Intelligence is the sum of technical, mental and social competencies essential to digital life." It's not only skills at coding and working with technology, but also avoiding the risks that technology exposes children to."

"Ten years ago, seeing a drone zoom over a college campus would have been unusual, to say the least. Today, however, several institutions are using the technology to support learning, research and even administrative work, such as capturing footage for a marketing video. Unmanned aerial vehicles have been in use since the 1990s, primarily to support military, border security and other public operations, according to the Federal Aviation Administration. Consumer adoption began to accelerate a few years ago as hobby drones became more advanced and less expensive. From 2014 to 2017, consumer drone shipments jumped worldwide by 7 million units, according to a Business Insider Intelligence analysis. That's about when higher education institutions began to realize UAVs could play a role on campus, according to Venkata Krishnan Seshadri, industry lead at market research provider Technavio. "Drones facilitate application-based, practical learning, which helps students understand and remember key theoretical concepts," Seshadri says. "Using drones significantly reduces risks and costs. For instance, in archeological-related courses, drones are used to capture aerial imagery, which increases the quality of learning without safety issues.""

"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"

"There's no shortage of news reader apps and services. For some of us, Twitter and Facebook do a good enough job. Then there are intelligent services like Nuzzel that show us stories that multiple people in our network are sharing, but you have no control over the actual feed."

"Having a growth mindset allows you to believe that you can improve and change with practice and determination. With a growth mindset, you view challenges with excitement and look forward to the opportunity to overcome them because you know you will get something out of the process and learn from your mistakes. Those with a fixed mindset, who believe their traits, talents, and abilities are permanent and cannot be improved, are less likely to enjoy as much success in school, work, and life in general. When teachers foster a growth mindset in the classroom, it helps students understand their full potential. Teachers with a growth mindset teach their students that intelligence is moldable and expandable, which keeps students inspired to learn, even if they are facing failure."

"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."

"Every year since 2001 we've picked what we call the 10 Breakthrough Technologies. People often ask, what exactly do you mean by "breakthrough"? It's a reasonable question-some of our picks haven't yet reached widespread use, while others may be on the cusp of becoming commercially available. What we're really looking for is a technology, or perhaps even a collection of technologies, that will have a profound effect on our lives. For this year, a new technique in artificial intelligence called GANs is giving machines imagination; artificial embryos, despite some thorny ethical constraints, are redefining how life can be created and are opening a research window into the early moments of a human life; and a pilot plant in the heart of Texas's petrochemical industry is attempting to create completely clean power from natural gas-probably a major energy source for the foreseeable future. These and the rest of our list will be worth keeping an eye on. -The Editors"

"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."

These updated features are rolling out over the next few weeks.

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

"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: "

"Dating from 1991, the Python programming language was considered a gap-filler, a way to write scripts that "automate the boring stuff" (as one popular book on learning Python put it) or to rapidly prototype applications that will be implemented in other languages. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis. It is no longer a back-room utility language, but a major force in web application creation and systems management, and a key driver of the explosion in big data analytics and machine intelligence."

Every year, Time magazine gets swamped with pitches from thousands of companies, all convinced their product deserves to be included in Time's "25 Best Inventions" list. This past December, the magazine reserved its cover for a Pixar-like, 11-inch armless robot named Jibo. Jibo - a so-called "social robot" - is just the latest example of a clear phenomenon: A new generation of exponentially more intelligent and capable robots is on the way. In fact, they're already everywhere we look: over our heads, in our cars and operating rooms, next to us on the assembly lines, in our military, and on the last mile. And the prospect of exponentially more robots, crunching exponentially more data, necessitates not just a lot more computing power but also an entirely new product architecture."

"Every classroom is different-and that's good because every student and teacher is, too. But are there any common elements that most/all classrooms should share? and more specifically, in a modern classroom? Screens and data and artifical intelligence and robots and Skype and holograms? Do these belong in every classroom? What ideas, practices, strategies, patterns, and technology belong in every classroom? Can we identify the kinds of 'things' that every modern, high-performing classroom should have? In the post linked to above, we explored some of these ideas in the form of 'characteristics.' And there were more-32, in fact. This post is a bit simpler and briefer. Some of the items are better suited to specific grade levels, content areas, teaching styles-even certain times of year. Still, most can remarkably improve the learning of students and the overall climate of your classroom. So then, that's the premise: What sorts of things belong in every modern classroom?"

"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."