Group items matching

in title, tags, annotations or url

"It's sounds like a paradox. How can you teach computer programming without a screen? Computer programming is a term synonymous with coding, after all. Text, letters, syntax, arranged in meaningful sequences that give machines instructions. We code with our keyboards and we see code on our screens. But there is a clear distinction between coding and computer programming, and an even greater distinction between coding and computational thinking, the logical foundations of computer programming. It is basics of computational thinking that children in Pre-K should learn first, in fact, and they can be taught these skills through hands on play, with no screen time at all."

"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."

"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."

"s part of the proposed new draft primary curriculum for ICT, there is a significant emphasis on computer science. Below I've included a selection of apps which can be used in both Key Stage 1 and Key Stage 2. The apps included range from basic skills in coding a Beebot to more advanced skills in coding games and simulations in apps such as Hopscotch and Codea. I've also included some other useful 'ICT' apps, which can be used to develop pupil's typing skills and Spreadsheet skills."

"This lesson/series of lessons is designed to give pupils an introductory understanding of key computational thinking skills and help them to discover that in fact, computers don't solve problems, but are used by us to aid the problem solving process. This will be shown by using the BBC Micro:Bit device, both emulated via online tools and with a real Micro:Bit if available - and adding a touch of magic."

"Regardless of whether you think every infant needs an iPad, I think we can all agree that technology has changed education for the better. Today's learners now enjoy easier, more efficient access to information; opportunities for extended and mobile learning; the ability to give and receive immediate feedback; and greater motivation to learn and engage. We now have programs and platforms that can transform learners into globally active citizens, opening up countless avenues for communication and impact. Thousands of educational apps have been designed to enhance interest and participation. Course management systems and learning analytics have streamlined the education process and allowed for quality online delivery. But if we had to pick the top ten, most influential ways technology has transformed education, what would the list look like? The following things have been identified by educational researchers and teachers alike as the most powerful uses of technology for learning. Take a look. 1. Critical Thinking In Meaningful Learning With Technology, David H. Jonassen and his co-authors argue that students do not learn from teachers or from technologies. Rather, students learn from thinking-thinking about what they are doing or what they did, thinking about what they believe, thinking about what others have done and believe, thinking about the thinking processes they use-just thinking and reasoning. Thinking mediates learning. Learning results from thinking. So what kinds of thinking are fostered when learning with technologies? Analogical If you distill cognitive psychology into a single principle, it would be to use analogies to convey and understand new ideas. That is, understanding a new idea is best accomplished by comparing and contrasting it to an idea that is already understood. In an analogy, the properties or attributes of one idea (the analogue) are mapped or transferred to another (the source or target). Single analogies are also known as sy

"In an effort to prepare the next generation for the future, school and public librarians, as well as teachers and educators at community-run and for-profit camps, have answered the call to teach kids code. But many now recognize it's not enough for students simply to know how to write code. The capacity to build a product or solve a problem requires an entirely different literacy. With this in mind, the focus of coding education is shifting from teaching the specific skill of coding to teaching computational thinking-or the ability to follow a step-by-step process to solve a problem. Technology education programs from CSforAll to Code.org to the International Society for Technology in Education (ISTE), as well as employers such as Google, all embrace this new context and focus. The future workforce will require a solid grounding in the discipline of thinking computationally, says Chris Stephenson, Google's head of computer science education strategy. She compares this moment to the epistemological shift that happened before the Enlightenment, when scribes guarded reading as a skill only for the chosen few."

"Why coding? And why now? Many of us would quickly respond that learning to code is a necessary skill in today's world with the vast amount of technology tools available. However, it is a little more difficult to define why or how it is applicable in our daily lives. As an educator, ask yourself: What are the underlying skills that coding teaches students? What are the learning outcomes we want for students as a result of bringing coding into the classroom? Computer science is more than just coding. Thinking like a computer scientist involves more skills than just being able to write code. Educators need students to bring their creativity and ability to think collaboratively to a problem in order to solve it. The computer will not solve problems without a human first working through how to approach the problem."

"My objective with this wide-ranging set of skills, and involving the community so closely in their development, is to give kids the chance to practice whatever makes them passionate now and feel encouraged -- even if they're obsessed with making stuff exclusively with duct tape. It's crucial that kids learn how to be passionate for the rest of their lives. To start, they must first learn what it feels like to be simultaneously challenged and confident. It's my instinct that we should not try to introduce these experiences through skills we value as much as look for opportunities to develop them, as well as creativity and literacy, in the skills they already love. MAGICIANS CRAFT ILLUSIONS THAT BAFFLE THE SENSES AND CONFUSE OUR REASONING. THEY PLAN LIKE SCIENTISTS, BUT PERFORM AS ARTISTS. ONLY THROUGH LONG AND DISCIPLINED PREPARATION DO THEY SUCCEED. It's difficult to predict which skills will be valuable in the future, and even more challenging to see the connection between our children's interests and these skills. Nothing illustrates this better than Minecraft, a popular game that might be best described as virtual LEGOs. Calling it a game belies the transformation it has sparked: An entire generation is learning how to create 3D models using a computer. Now, I wonder, what sort of businesses, communication, entertainment or art will be possible? Cathy Davidson, a scholar of learning technology, concluded that 65% of children entering grade school this year will end up working in careers that haven't even been invented yet. I bet today's kids will eventually explore outcomes and create jobs only made possible by the influence of Minecraft in their lives. Why take any chances and build your dream house with blueprints alone? The Minecraft kid could easily make a realistic 3D model of one for you to walk through before you build. That's why DIY treats Minecraft as a tool, not a game, and encourages our members to use it to pursue art, architect

"In today's world, literacy goes beyond just the basic ability to comprehend text. Today's students will also need to master a new skill-digital literacy. Cornell University defines digital literacy as "the ability to find, evaluate, utilize, share, and create content using information technologies and the Internet." Digital literacy, by this definition, encompasses a wide range of skills, all of which are necessary to succeed in an increasingly digital world. As print mediums begin to die out, the ability to comprehend information found online becomes more and more important. Students who lack digital literacy skills may soon find themselves at just as much of a disadvantage as those who cannot read or write. Because digital literacy is so important, educators are increasingly required to teach students digital literacy in the classroom. In many ways, this is similar to what educators have always done in teaching students to read and write. In other ways, however, digital literacy is a brand new skill. Most students already use digital technology, such as tablets, smartphones, and computers, at home. Many students already know how to navigate the web, share images on social media, and do a Google search to find information. However, true digital literacy goes beyond these basic skills."

"When educator Lynn Koresh hears from kids that they want a career doing something with computers, she asks, "To do what with computers?" Adults often encourage kids to pursue science, technology, engineering and math (STEM) skills, and computing classes are usually a first stop. But Koresh knows it's the real-world applications of computational thinking and coding language skills that bring such knowledge to life. She reasoned that most middle school students are already playing video games and might respond well to a unit on how to design, create, test and promote video games. Along the way, she's also teaching them about digital citizenship and entrepreneurship. "I wanted to give kids exposure to what it means to have a career using computers," said Koresh, technology coordinator at Edgewood Campus School in Madison, Wisconsin."

"From the programmers behind Pokemon Go to the creators of chatbots, the impact of computer science (CS) is ubiquitous in our daily lives. This is because computer science education provides a way of thinking that focuses on problem solving, teamwork and a powerful way to express yourself - important skills for any career. And with a projected 1 million jobs going unfulfilled in computing-related roles by 2020, we need computer scientists from all backgrounds to bring their unique perspectives to solve real-world problems. That's why today, we're excited to announce Careers with Code in the US, a free high school "CS + X" career magazine that shows how to combine your passions, your "X", with computer science. We partnered with STEM specialist publishers Refraction Media to create a CS career magazine that illuminates the range of computer science careers and highlights the impact they have across industries. Readers can get to know people who use CS in their daily work in sometimes unexpected ways, such as Jonathan Graham. "

"Leka DeGroot can relate to teachers who would like to bring coding to their classrooms but just can't fathom fitting it in. "Teachers often tell me, 'It sounds great but I don't have time, or I don't have the skills,' but you don't have to be a computer scientist to teach coding," assures DeGroot, a first grade teacher at Spirit Lake Elementary in Spirit Lake, Iowa. Just a few years ago DeGroot explored coding for the first time through Hour of Code. Today, she's a trainer for Code.org. She's driven by a desire to introduce students to computational thinking and integrating coding into the curriculum. "The basic concepts of listening to each other, communicating and collaborating, these are not just for computer science. We want every student to have those skills," DeGroot says. Even the youngest students benefit from the critical-thinking and problem-solving skills that coding provides. Not only do kids learn from it, they love it! Recently, for example, collaborated with a teacher in Wisconsin to have students write loop code dances for each other and then held a Google Hangout dance party. "

"As defined by Jeannette Wing, computational thinking is "a way of solving problems, designing systems, and understanding human behavior by drawing on the concepts of computer science." To the students at my school, it's an approach to tackling challenging questions and ambiguous puzzles. We explicitly integrate computational thinking into all of our classes, allowing students to draw parallels between what they're learning and how they're approaching problems across all disciplines. Our students rely on four computational thinking skills, as well as a set of essential attitudes"

"Like many kids of my generation growing up in India, I was an avid reader of Enid Blyton's novels. Many of her books were written as a series ("The Famous Five," "The Secret Seven" and "Five Find-Outers") and I recall wondering if the lives of characters overlapped in any way. Did a character from one series ever run into one from another, for example? I recall wondering the same thing in later years about P.G. Wodehouse's Blandings Castle and Jeeves series. Today, in a world where communities real and imagined are digitally connected via platforms like Facebook, Instagram and Tumblr, we can reframe that question in terms of those common nodes (or friends) in those characters' social networks. As it turns out, network theory as an analytic technique, or what I'd call computational literary analysis, is not just a bona fide research endeavor. It's also a great example of how computational thinking (CT) is truly a cross-disciplinary skill that can be weaved to enrich learning in any subject (not just math and science, as is sometimes the assumption). In an earlier article on computational thinking, I offered teasers of how CT could be integrated into language arts and social studies, in addition to math and science. Here's a detailed treatment of one of those examples, drawn from the work of Franco Moretti's group on "Computational Criticism," which is part of the broader Digital Humanities initiative at Stanford. (See this New York Times profile for more on the work of this group)."

"According to Code.org, 90 percent of U.S. schools are not teaching any computer science. Eyebrows were raised in 2013 as the U.K. passed a plan to educate every child how to code. In 2014, Barack Obama made history as the first U.S. president to program a computer. Yet critics claim that often only the more affluent schools offer computer science courses, thus denying minorities potential to learn the skills required by the 1.4 million new jobs that will be created during the next ten years. In my opinion, parents of every student in every school at every level should demand that all students be taught how to code. They don't need this skill because they'll all go into it as a career -- that isn't realistic -- but because it impacts every career in the 21st century world. Any country recognizing that will benefit in the long term. Here's how you can start. With the following resources, you can teach programming with every student and every age."

"The Managing Complex Change model puts language to that which makes some schools successful while others struggle. The model looks at five components necessary to create a desired environment. These include vision, skills, incentives, resources, action plan. If any one piece is missing the model indicates results schools will experience including change, confusion, anxiety, gradual change, frustration, and a false start. When thinking of successful schools such as Science Leadership Academy, The MET, The Island School, The iSchool, you will find they have all those components in place. On the other hand, when I hear teachers lamenting about their school failures, the model brings clarity to the fact that one or more of these components are missing. Below is the chart that lays this out. Following the chart, I'll take a look at what each missing component might look like in a school environment. As you read, consider which, if any are components, are missing at your school. save image Lack of Vision = Confusion When I hear exasperated teachers spinning their wheels, working so hard to get ready for all the various mandates and requirements, but never feeling a sense of accomplishment, it is clear there is not a tangible school vision that has been communicated. In some cases this is because what is being imposed does or can not reconcile with what the school wanted for their vision. Skill Deficit = Anxiety My heart goes out to those with a skill deficit. They are required to implement a curriculum they are not trained in using or being evaluated via measures with which they are not familiar. Or…they are put into a position they were not trained for or prepared to embrace. Social media provides a great medium for helping these teachers get up to speed, but when the outreach occurs, the anxiety is abundantly clear. Lack of Incentives = Gradual Change It is not unusual for innovative educators to feel like and be perceived as misfits. Islands onto their own

The Bebras cards are designed to enable pupils to develop their computational thinking skills, whilst at the same time providing an introduction to more advanced computing concepts. Computational Thinking Each card is aligned to one of the following computational thinking concepts, which are indicated in the top right-hand corner of each card.  Patterns  Algorithms  Logic  Abstraction Task Difficulty The difficulty of the task on each card is indicated by the icon in the bottom right-hand corner.  = Easy  = Medium  = Hard Answers and Other Materials Answers to tasks, ideas for teaching and national curriculum links can be found at: www.bebras.uk Tip: pupils will need an exercise book or a piece of paper in order to record their answers to each activity

The Bebras cards are designed to enable pupils to develop their computational thinking skills, whilst at the same time providing an introduction to more advanced computing concepts. Computational Thinking Each card is aligned to one of the following computational thinking concepts, which are indicated in the top right-hand corner of each card.  Patterns  Algorithms  Logic  Abstraction Task Difficulty The difficulty of the task on each card is indicated by the icon in the bottom right-hand corner.  = Easy  = Medium  = Hard Answers and Other Materials Answers to tasks, ideas for teaching and national curriculum links can be found at: www.bebras.uk Tip: pupils will need an exercise book or a piece of paper in order to record their answers to each activity

"Use Blooms Taxonomy thinking skills to incorporate Computational Thinking Concepts within your lessons. This poster cross references Blooms Taxonomy thinking skills with the concepts of Computational Thinking in order to support your delivery of these concepts within the classroom."