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"Computational thinking is the set of skills you need to be able to get computers to do useful things. It includes logical thinking, planning ahead, working with data, being able to give precise instructions and make predictions. There are lots of activities that can help young children aged 4-7 to develop these skills. Computational thinking skills can be developed through coding but there are lots of other activities that help too. A lot of them are screenless which helps to develop modern skills while also developing other important skills including motor skills and communication. Some of the ideas here are classic kids games and activities that you might have tried anyway, they just happen to be great for computational thinking skills."

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.

"Democratization of technological and data-driven enterprise are themes that are on everyone's lips. We've seen how top-down transformation, directed by business leaders working together with data scientists on strategically-aligned initiatives has the potential to create efficiencies, better understand business processes and predict problems before they occur. At least, if you are one of the still small number of businesses which is managing to do so successfully, you have. But imagine how much greater the potential for change could be if it could spontaneously emerge anywhere in an organization. When everyone has access to the tools, skills and knowhow to harness tech to do their job better, or drive efficiencies, then a workforce looks better equipped to deal with the challenges of the future."

"Art is hard. Creative insights are hard to predict, and just when it gets difficult, your mind immediately jumps to a distraction: something easier to do, an excuse, a scapegoat. To get the most out of your creative energy, carve out space for creative work. To make that space, you need to make space for the other types of work, too. The key to this is understanding how creative insights happen. "

"In an era of breakneck change and tech innovation, evaluating dyslexia in young students looks much the same today as it has in the past: A struggling reader's parents and teachers might sit down, gather information and assess the child on their strengths and weaknesses to determine a diagnosis and appropriate interventions. Often this is done via paper tests-despite the growing usage of predictive analytics in schools, where there are seemingly as many data dashboards as students in a classroom. All that's to say, it seems like an industry almost too tempting for deep-pocketed tech investors and an ambitious startup with an eye on using machine learning to trim the fat. "Today's methods are quite cumbersome," explains Frederik Wetterhall, the CEO and co-founder of Lexplore, a company that has devised a dyslexia screening tool that pairs eye tracking cameras with AI and algorithms. "With paper- and pen-based tests, it's quite hard to read the results and takes a lot of time. [Educators] ask, 'Who are the kids we think have difficulties?' and they miss a lot of kids.""

Great monthly feature from the NY Times & American Statistical Association - What's going on in this graph? A new graph posted each month, together with visible thinking strategies, and the possibility of joining for an online (moderated) discussion to talk about predictions.

"With so many Raspberry Pi projects to choose from, it can be tricky to find the one you really want to build. Our advice is to find a way to marry the Pi with something you really love. One great example is TV and movie robots - iconic characters from popular sci-fi that can be rebuild at home with a Raspberry Pi built in. Once constructed, your robot might be able to utter commands when a condition is met (perhaps a sensor detects motion). Or it might move around, learning about its surroundings, or reading information to you from Wikipedia. Whatever you have in mind, it should be relatively straightforward to plan and execute. It may take some time, however. Here are five example projects that show how you can combine a Raspberry Pi 2 or later with your favorite fictional robot. 5 Things Only a Raspberry Pi 2 Can Do 5 Things Only a Raspberry Pi 2 Can Do The latest edition of the pint-sized computer is awesome. So awesome, in fact, that there's 5 things you can only do on a Raspberry Pi 2. READ MORE 1. R2-D2 We've all wanted our very own astromech droid, haven't we? Sure, no one on earth is (currently) operating a light speed drive, but Star Wars droid R2-D2 has far greater abilities than onboard spacecraft maintenance. For instance, he can hold torches, carry a tray of drinks, and launch lightsabers across pits in the desert. Okay, it's unlikely you'll manage to get your own R2-D2 robot to do that… but don't let that put you off. Check out this little guy, controlled by a Raspberry Pi. While this project was based on an existing R2-D2 toy, that shouldn't limit your ambition. You'll find plenty of R2-D2 builds on YouTube. There's a massive R2-D2 building community online. Finding one that has a drive unit should be ideal for integrating a Raspberry Pi (and perhaps an Arduino, which you can use the two together) and developing a more realistic R2-D2 experience. Arduino vs Raspberry Pi: Which Is The Mini Computer For You? Arduino vs Rasp

"At the beginning of a school year, settling in with a whole new group of students, it can be difficult to navigate heated moments. How do you deal with all-too-predictable disruptions in a way that feels proportional and controlled when there are a thousand daily decisions to make and dozens of personalities in play? When you're overwhelmed, can you really afford to be empathetic?"

"Artificial Intelligence (AI) has been around for decades; however, with the introduction of generative AI, such as ChatGPT, there has been a newfound focus on how technology tools can impact the educational landscape. The AI revolution in industry is upon us and is beginning to establish itself as a permanent part of educational practice as evidenced by Lucarillo, Nagel, Hardman, and others. Therefore, it is crucial to equip teachers with the skills to use AI in ways that ensure a high-quality education for the students in classrooms across the globe. The urgency to upskill teachers is highlighted by the gap in skills that already exists in classrooms today, underscoring the digital divide. Just as in any content area, students come to classrooms with varying readiness levels and educational needs; using AI is no different. For example, there are preschoolers who play games on an iPad with empowered intelligent tutors. My prereading granddaughter uses AI predictive text programs, dictation technology, and iconography to text me from her mother's phone and to locate videos and programs she wants to watch. Some children, like her, have access, while there are many others who have no exposure or use of AI. Educators are encountering students at different AI literacy levels, and this divide will continue to grow. Therefore, teachers need to build the skillsets to increase their AI literacy and integration to develop more digital equity, serving students who are at a low readiness level, as well as those who are using AI as a writing partner."