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"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."

"Computational thinking is the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer - human or machine - can effectively carry out. Informally, computational thinking describes the mental activity in formulating a problem to admit a computational solution.  The solution can be carried out by a human or machine. This latter point is important.  First, humans compute.  Second, people can learn computational thinking without a machine.  Also, computational thinking is not just about problem solving, but also about problem formulation.1 The Digital Careers organisation says that students need experience and skills in computational thinking and computer programming (coding) to be successful in their future careers.2 The NSW syllabuses provide a range of opportunities to develop students' understanding of computational thinking and coding. This guide draws out the areas where computational thinking can be applied within the existing NSW K-8 syllabuses. Like the syllabuses, it is organised into stages of learning and subdivided into learning areas, with suggested activities and links to online resources. Not all resources and activities listed in this guide refer to coding explicitly, but they do aim to develop algorithmic and computational thinking skills to better enable students and teachers to reach a coding goal."

"A makerspace is a collaborative work space inside a school, library or separate public/private facility for making, learning, exploring and sharing that uses high tech to no tech tools.  These spaces are open to kids, adults, and entrepreneurs and have a variety of maker equipment including 3D printers, laser cutters, cnc machines, soldering irons and even sewing machines.  A makerspace however doesn't need to include all of these machines or even any of them to be considered a makerspace.  If you have cardboard, legos and art supplies you're in business.  It's more of the maker mindset of creating something out of nothing and exploring your own interests that's at the core of a makerspace.  These spaces are also helping to prepare those who need the critical 21st century skills in the fields of science, technology, engineering and math (STEM).  They provide hands on learning, help with critical thinking skills and even boost self-confidence.  Some of the skills that are learned in a makerspace pertain to electronics, 3d printing, 3D modeling, coding, robotics and even woodworking,   Makerspaces are also fostering entrepreneurship and are being utilized as incubators and accelerators for business startups.  There have already been some amazing success stories that have come out of makerspaces to date. "

"In the last few years, machine learning applications have quietly entered every aspect of life: social media to speech recognition, radiology to retail, warfare to writing articles, coding to customer service, robotics to route optimization. During the 40 year information age, we told computers what to do. With advances in artificial intelligence, particularly machine learning, and faster processing chips we can feed computers giant data sets and they can (in narrow slivers) draw some inferences on their own. As we reported in Ask About AI, the rise of code that learns marks the beginning of a new era of augmented intelligence. It's a great opportunity for us to expand access to a great education and for young people to make a big contribution. Given the importance of relationships in human development, AI will augment rather than replace the work of educators in many ways. We'll all have to get better at collaborating with teams that include smart machines. In other professions, augmentation will lead to automation with the potential for significant dislocation. Amazon's workforce, for example, is about 20% robots."

Machines are already superintelligent on many axes, including memory and processing speed. Unfortunately, those are the attributes our education system currently rewards, with an emphasis on learning by rote. It doesn't make sense to me. Part of my job as an investor is to attempt to predict the future - I need to make bets on the way we'll be behaving in the next two, five, ten and 20 years. Computers already store facts faster and better than we do, but struggle to perfect things we learn as toddlers, such as dexterity and walking. We need to rethink the way we teach our children and the things we teach them. Creativity will be increasingly be the defining human talent. Our education system should emphasise the use of human imagination to spark original ideas and create new meaning. It's the one thing machines won't be able to do.

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"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."

"FEBRUARY 22, 2018 -From the instant replay that decides a game to the bodycam footage that clinches a conviction, people tend to trust video evidence as an arbiter of truth. But that faith could soon become quaint, as machine learning is enabling ordinary users to create fabricated videos of just about anyone doing just about anything. Earlier this month, the popular online forum Reddit shut down r/deepfakes, a subreddit discussion board devoted to using open-source machine-learning tools to insert famous faces into pornographic videos. Observers say this episode represents just one of the many ways that the this technology could fuel social problems, particularly in an age of political polarization. Combating the negative effects of fabricated video will require a shift among both news outlets and news consumers, say experts.  "Misinformation has been prevalent in our politics historically," says Brendan Nyhan, a political scientist at Dartmouth College in Hanover, N.H., who specializes in political misperceptions. "But it is true that technology can facilitate new forms of rumors and other kinds of misinformation and help them spread more rapidly than ever before." So-called fake news has been around long before Macedonian teenagers began enriching themselves by feeding false stories to social media users. In 1782, Benjamin Franklin printed a falsified supplement to the Boston Independent Chronicle maligning Seneca Indians in an attempt to influence public opinion during peace negotiations with Britain."

"While teachers may always be the best line of defense for students falling behind, busy schedules don't always permit the special attention and feedback that students need. That's where artificial intelligence-powered teaching assistants might come in handy. "These intelligent tools can adapt pacing based on the student's ability … and provide targeted, corrective feedback in case the student makes mistakes, so that the student can learn from them," states an eSchool News report released earlier this year. "These tools also gather actionable insights and information about a student's progress and report the data back to the teacher." Understandably, there is still some hesitation at the idea of using this technology, as education professionals fear the day robots will replace teachers. However, as Thomas Arnett, a writer at the Christensen Institute, explains in his report, Teaching in the Machine Age, these advances are not meant to replace teachers but help them bring students to new heights. "Innovations that commoditize some elements of teacher expertise also supply the tools to raise the effectiveness of both non-experts and expert teachers to new heights and to adapt to the new priorities of a 21st-century workforce and education system," writes Arnett. Schools have already begun to adopt machine learning initiatives to help teachers and students fill learning gaps, and the results have been received well so far."

The narrative of "learning loss" is weaponizing static achievement against young people and families in ways that further harms them in a time of global pandemic and disarray. Instead of falling back on the nostalgia of an outdated and mechanized education system, we must push forward into the global shift of our human existence and post-pandemic learning needs and opportunities. As we design teaching and learning now, and in the future, it is best we recycle the good mineral components of the previous education machine and build new resources for teaching and learning that serves the needs of all of our futures.

"Business adoption of artificial intelligence is accelerating, fueled by an explosion of data, the rapid growth in cloud computing and the emergence of advanced algorithms.1 In a survey of IT decision-makers that my company, CCS Insight, conducted in July 2017, 58 percent of respondents said they are using, testing or researching the use of artificial intelligence (AI) in their organizations.  Respondents also estimated that as much as 30 percent of their business applications would be enhanced with machine learning within the next 24 months - a bullish view, considering the technology's well-documented problems with trust, cost and the lack of skills needed to train machine learning systems."

"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."

"To ban or not to ban, that is always the question when it comes to personal devices in the classroom. But rather than fight this uphill battle (Generation Alpha is forecasted to be more technological than any previous), let's figure out how to leverage these little machines. If used intentionally, mobile devices can be an express pass to exploring beyond the walls of our schools. While pushing students to learn outside our classrooms is a step in the right direction, how do we ensure that these experiences lead to deeper learning? Here are 5 ways to get to curate that practice by making your class a BYOD zone."

"Internet of Things (IoT) is a relatively new concept that is making such a buzz online. I have come across it in several instances but never really inquired deeply about its meaning. However, today I read a really interesting article by Jacob Morgan entitled " A Simple Explanation of 'The Internet of Things'. In this article, Jacob defined IoT as "the concept of basically connecting any device with an on and off switch to the Internet (and/or to each other). This includes everything from cell phones, coffee makers, washing machines, headphones, lamps, wearable devices and almost anything else you can think of.  This also applies to components of machines, for example a jet engine of an airplane or the drill of an oil rig.""

"The students had been researching Ellis Island in Social Studies and were finding out how it became a famous gateway for millions of immigrants entering the United States. They wanted to represent that information visually, so they took all that they learned in class and turned it into a news report. The script took some time to write but with Google Docs they could all collaborate on the same document at home or at school in order to get the job done. When the script was finished, they were ready to record their video. I set up the green screen, put the iPad on a tripod, and gave the students some basics on what they would need to know in order to make a successful green screen movie on the iPad. They were up and running in no time and filmed their own video whenever they weren't all on screen at the same time! We used the Teleprompter Pro Lite app to scroll their script in front of them, just like the professionals do. "

This was a very interesting article. How can we use technology to augment critical thinking and ask students the right sort of questions to get them motivated to think? That's the sort of thing educational technology should be about, not just "answer the test question". Thank you for sharing!

"How many schools and how many classrooms allow student choice? And, in adult-centered spaces, how often do young people have the opportunity to make important decisions? Our mainstream educational machine is fueled by the idea that adults know best-that adults must impart their knowledge to prepare students for a demanding world. Our responsibility as teachers is to teach students for their own good…a "good" that more and more of us are having difficulty understanding. We teach students addition and multiplication facts because some day they will need to calculate very quickly…a tip at a restaurant or a bill at the grocery store in case their smartphone runs out of batteries. We teach them to write a five paragraph essay on the theme of a book because they will need those writing skills when…writing an argument to dispute a lawsuit. We teach them how to conjugate "to be" in Spanish because it might save their life…at a fruit stand in South America. While we are preparing them for possible situations, should these situations define the entirety of the direction of their education? I propose that we introduce some choice and some unknown into the situation of school. What if we allow students to make choices about what they learn, how they learn, and when they learn? In a way, 1:1 iPad programs are sparking choice whether we're OK with it or not."

"Are you thinking about buying a 3D printer for your school or classroom?  Before you buy something that could turn into a very expensive paperweight, I recommend you consider these factors. How is a 3D printer going to enhance your curriculum?  Are you going to buy it first and explore the possibilities, or do you already have ideas for utilizing it with students to benefit their learning?  If you would give the second answer, keep reading.  If it's the first, you need to do more research.  If the sole purpose of the printer will be to perform as a 21st century copy machine operated only by the teacher, then you will be doing your students an injustice, as the cost would definitely outweigh the benefits.  The only reason to buy a 3d printer for your classroom is so that students can learn and create. Once you decide that this printer will benefit student learning and you have concrete ideas for curriculum integration, then you need to think about some down-to-earth questions like these"

"Course Description: Learn to build your own Lightsaber just like young Jedi do! Along the way, learn about electronics, basic machining, assembly, and the ways of the Jedi. By the end of the lab, you will have built a functioning, battle-ready Lightsaber that you can wield like a master Jedi. This class is highly engaging and will have you anxious to build! This course also makes for a great parent-child project to do over the weekend or as an enrichment activity for your son/daughter. The online delivery of the course makes it a perfect option for home schooled children as well. What will I learn? 1. How to build a Lightsaber from scratch 2. The basics of electricity 3. Basic electrical circuits 4. Mechanical assembly 5. How to use a Lightsaber 6. So much more!"