Stella's Problems - 1 views
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"Welcome to the ORC Stella website. The core of this collection is a library of more than 600 non-routine mathematics problems known as Stella's Stunners to be launched set by set over the coming months. The problems range from simple visual problems, requiring no specific mathematical background, to problems that use the content of Pre-Algebra, Algebra I, Geometry, Algebra II and Trigonometry, up through Pre-Calculus. The Stella problems are not typical textbook exercises. They are considered "non-routine" problems because the methods of attacking them are not immediately obvious. Because these problems can supplement and enliven traditional mathematics courses in a variety of ways, we have included materials to assist in using Stella problems in your teaching: "
How I Got Over My Cheating Husband - 1 views
When I learned that my hubby was cheating on me, I was so angry that if looks could kill he would be already lying lifeless on the floor. But then, when I took a time off, I felt insecure. I knew t...
MediaShift . Learning in a Digital Age: Teaching a Different Kind of Literacy | PBS - 0 views
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"Education," scholar and writer Ralph Ellison once said, "is a matter of building bridges." And perhaps, no bridge is more important than the bridge to the future. As educators, it's our responsibility to prepare students for the world of tomorrow. Yet tomorrow isn't what it used to be.
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How do we prepare students for work that hasn't been invented yet? While it's difficult to predict what the social and economic climate will be like in the years to come, we can analyze trends and extrapolate future scenarios.
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While these 21st century skills are essential, they aren't enough. There is a growing expectation for these abilities to be leveraged and expressed using digital tools.
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Free Technology for Teachers: Three Examples of Students Creating Real-World Products t... - 2 views
Is Coding the New Literacy? | Mother Jones - 2 views
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What if learning to code weren't actually the most important thing? It turns out that rather than increasing the number of kids who can crank out thousands of lines of JavaScript, we first need to boost the number who understand what code can do. As the cities that have hosted Code for America teams will tell you, the greatest contribution the young programmers bring isn't the software they write. It's the way they think. It's a principle called "computational thinking," and knowing all of the Java syntax in the world won't help if you can't think of good ways to apply it.
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Researchers have been experimenting with new ways of teaching computer science, with intriguing results. For one thing, they've seen that leading with computational thinking instead of code itself, and helping students imagine how being computer savvy could help them in any career, boosts the number of girls and kids of color taking—and sticking with—computer science. Upending our notions of what it means to interface with computers could help democratize the biggest engine of wealth since the Industrial Revolution.
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Much like cooking, computational thinking begins with a feat of imagination, the ability to envision how digitized information—ticket sales, customer addresses, the temperature in your fridge, the sequence of events to start a car engine, anything that can be sorted, counted, or tracked—could be combined and changed into something new by applying various computational techniques. From there, it's all about "decomposing" big tasks into a logical series of smaller steps, just like a recipe.
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"Unfortunately, the way computer science is currently taught in high school tends to throw students into the programming deep end, reinforcing the notion that code is just for coders, not artists or doctors or librarians. But there is good news: Researchers have been experimenting with new ways of teaching computer science, with intriguing results. For one thing, they've seen that leading with computational thinking instead of code itself, and helping students imagine how being computer savvy could help them in any career, boosts the number of girls and kids of color taking-and sticking with-computer science. Upending our notions of what it means to interface with computers could help democratize the biggest engine of wealth since the Industrial Revolution."
ISTE | Turn coders into computational thinkers - 1 views
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With computational thinking, students learn how to work together to approach open-ended problems, gain confidence to work with complex problems, and develop grit to continue to work on the problem until a viable solution is found. The added component with computational thinking, however, takes this approach one step further by asking you to think about how you are preparing your students to use technology when solving problems.
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Yes, students learn how to work together to approach open-ended problems I agree with this but... gain confidence to work with complex problems, and develop grit to continue to work on the problem until a viable solution is found not agree an the same time. Now the younger students have many mini tattoos in their bodies and have more problems to fing jobs in the future.
ISTE | How to develop computational thinkers - 2 views
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(CT) is the highest order of problem-solving, is a cross-curricular skill, and is understandable to both machines and humans, I recommend building student CT competency by developing their versatility for recognizing and applying the four elements of CT to familiar problems/situations.
The 6 Questions We Should Be Asking About the Future of Learning | LinkedIn - 2 views
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We used technology like people do at work – as a tool to helps us get our job done, learn and conduct research, and to connect and collaborate, to build communication skills, and to solve problems. The big insight: technology can power deeper learning.
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These questions don’t center upon, nor are they dependent on, technology, though if technology is an integral part of our lives, some of the answers to these questions might lie in the use of technology.
Learn To Code Day 2017 - Using Data to Solve Problems - 0 views
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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."
Celebrating the significance of creativity for educations future success - The Learner'... - 1 views
If You Have These Skills, No Robot Will Ever Take Your Job - 6 views
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"Losing your job to robots is no longer a sci-fi fantasy. Some estimates say, robots may take over more than five million jobs across 15 developed countries. Machines could account for more than half the workforce in places like Cambodia and Indonesia, particularly in the garment industry. While such information has led many people to seek out higher-tech skills, others have said we need a stronger emphasis on trade skills to combat the high competition in tech fields. In one 2016 survey, 60 percent of respondents wanted more emphasis on Shop classes in high schools, while a 2015 Gallup poll found that 90 percent of parents want computer sciences emphasized in schools. The good news. There are some skills robots can't embody, and if you have them, there's no need to worry about losing your job due to robotic advancements. Better yet, many of them are transferrable, meaning they can help you advance your career, even if you need to change industries. Here are eight skills that can keep your job from being handed off to a robot."
How one school district works computational thinking into every grade and class - The H... - 1 views
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computational thinking means breaking complex challenges into smaller questions that can be solved with a computer’s number crunching, data compiling and sorting capabilities.
To code or not to code in the pre-k classroom? Yes, please do. - 1 views
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"If there is one piece of advice that is drilled into you as a new parent, it is to limit screen time. Bringing home our first baby, I may have not known how to effectively swaddle or change a diaper, but I did know, "back is best" and "no screen time for children under two." Yet, screens are something we as parents are constantly interacting with. In those early days of parenting, our parents laughed as we announced that we would not expose our children to screens. Yet screens are such a piece of our world. How could I expect a child not to find interest in the screens and technology that we interact with routinely? Does this abstinence approach to teaching new parents and those who work with our youngest learners do more harm than good? Does coding and computational thinking have a place in early childhood education? Yes, it certainly does. "
Google Lens Homework Filter: How Google Can Solve Math Homework - 0 views
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