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"The term, Computational Thinking, is being discussed and used a lot in education at the moment, but what does this actually mean and is it something that is worth trying to incorporate into your lessons? Basically, computational thinking is a way of describing the approach that students take to solve problems not just in the classroom, but the outside world too. By introducing and encouraging students to take this approach towards tasks that are set in class, they are developing the skill set to enable them to tackle problems in any domain."

"The adventure begins! Episode 1: Ethic awakens in a mysterious cell. Can she and robot Hedge solve the programming puzzles blocking their escape? This is episode 1 of our animated series "Think Like A Coder." This 10-episode narrative follows a girl, Ethic, and her robot companion, Hedge, as they attempt to save the world. The two embark on a quest to collect three artifacts and must solve their way through a series of programming puzzles."

"From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many. However, regardless of the application of AI, there is commonality to all these applications. Those who have implemented hundreds or even thousands of AI projects realize that despite all this diversity in application, AI use cases fall into one or more of seven common patterns.  The seven patterns are: hyperpersonalization, autonomous systems, predictive analytics and decision support, conversational/human interactions, patterns and anomalies, recognition systems, and goal-driven systems. Any customized approach to AI is going to require its own programming and pattern, but no matter what combination these trends are used in, they all follow their own pretty standard set of rules. These seven patterns are then applied individually or in various combinations depending on the specific solution to which AI Is being applied."

"Say you're trying to solve a sudoku. You look at the various numbers that fill the squares and begin to work your way through the lines and boxes bit by bit, adding values and searching for any unused digits. If the puzzle is easy, you may be able to brute-force a solution. But what if the sudoku is a bit more challenging? As you look at the puzzle, you may notice how numbers seem to be arranged just so. A number here, a number there… In fact, by recognizing the arrangement of the numbers, you're able to solve the sudoku lightning fast. What's going on? It's all in the pattern."

Check out our new #ComputationalThinking Competencies! They're like an expansion pack for the #ISTEStandards for Educators! https://t.co/4EPMUFTWrl #edtech https://t.co/vYMzc4hPY8

"The Ancient Greeks loved algorithms, and devised lots of useful ones. One of the most famous is the Sieve of Eratosthenes. It is a way to find prime numbers, special numbers that are also known as the atoms of numbers. Prime numbers now form the basis of our most powerful encryption systems upon which digital money is based. Our electronic banking systems (and lots more) would collapse without prime numbers. You can use the Sieve of Eratosthenes as a way to practice times tables, spot patterns and explore how to improve algorithms, whilst also uncovering these mysterious, magical numbers with no obvious pattern of their own. Here you can follow in the footsteps of Eratosthenes and develop your algorithmic thinking skills."

"Anyone who says you can't apply computational thinking and digital learning strategies to strengthen students' writing skills is wrong. To the contrary, this innovative learning style helps students hone critical-thinking skills across every discipline. In my classroom, I teach students computational thinking through free materials from Ignite My Future in School, a partnership between Tata Consultancy Services and Discovery Education. I especially enjoy using their Curriculum Connectors, online resources for teachers across disciplines to help their students apply computational thinking techniques. The core tenets of computational thinking are the building blocks that help my students become better learners and problem-solvers across every area of their work-from all areas of reading and language arts. Here's how five core computational thinking approaches help my students build stronger critical thinking and writing skills:"

"In recent years, there has been a push to introduce coding and computational thinking in early childhood education, and robotics is an excellent tool to achieve this. However, the integration of these fundamental skills into formal and official curriculums is still a challenge and educators needs pedagogical perspectives to properly integrate robotics, coding and computational thinking concepts into their classrooms. Thus, this study evaluates a "coding as a playground" experience in keeping with the Positive Technological Development (PTD) framework with the KIBO robotics kit, specially designed for young children. The research was conducted with preschool children aged 3-5 years old (N = 172) from three Spanish early childhood centers with different socio-economic characteristics and teachers of 16 classes. Results confirm that it is possible to start teaching this new literacy very early (at 3 years old). Furthermore, the results show that the strategies used promoted communication, collaboration and creativity in the classroom settings. The teachers also exhibited autonomy and confidence to integrate coding and computational thinking into their formal curricular activities, connecting concepts with art, music and social studies. Through the evidence found in this study, this research contributes with examples of effective strategies to introduce robotics, coding and computational thinking into early childhood classrooms."

"Across the United States and around the world, educators are being called on to help their students prepare for futures in an increasingly computational world. Integrating computational thinking into activities, lessons, and curricula not only supports building new skills, but also enhances learning and engagement in every discipline. However, there are still many more educators who do not feel comfortable with computational thinking concepts than those who do."

"Our "Key Concepts of Computational Thinking" framework supports teachers in identifying where their students can leverage computational thinking to enhance their learning. Within these eight key concepts, teachers in every subject have found intersections with what their students are expected to know and know how to do."

"The research group that I'm a part of, Re-Making STEM, of is looking at ways that computational thinking (CT) practices intersect with creative, collaborative human activities.  This has led to some really interesting explorations in computing, cognition, and culture. Our practical goals include: discovering ways that teachers and their students can engage with and learn CT, and discovering design principles for learning and applying CT in interesting ways.  In this post, we'll look at some of those explorations and hopefully leave you with some things to think about."

"Computational thinking isn't new. Three decades ago, Seymour Papert introduced computational thinking when he developed the concept of bricolage, which is the construction of something new from many sources. He rightly understood the significance of computers, and with computational thinking, he surmised that they would not only be an integral part of our educational process, but we would need to acquire new ways for learning when using computers. In essence, the bricoleur builds knowledge by engaging in a process of building precise steps that encourage the construction of knowledge. Papert recognized that over time, the learner's theory may change as the result of refining his or her responses in any of the four stages of computational thinking. Even before Papert's work, however, educational visionaries insisted that the way to solve problems in any field was by adopting sequential problem-solving methods, which became algorithmic or computational thinking. In short, we use computational thinking (CT) to solve problems."

"In the ever-changing technological world, computer science is not only becoming more prominent in classrooms, but a staple in education. Computer science combines the principles of technology and use of computers to educate learners on both the hardware and software of computer technology. The field of computer science is exceptionally diverse, as the skill sets are in-demand across practically every industry-serving as a lucrative and stable career pathway. In addition, computer science has many facets, meaning educators can leverage various components of the field to reach students across all levels and learning abilities. With technology present in almost every classroom, educators have a greater opportunity to implement computer science lessons throughout the curriculum. This provides students with the knowledge and skills required to help follow job market trends when they graduate."

"How can you stimulate students and teachers to engage in computational thinking with data? One key is to provide a realistic, relevant, and meaningful context. We're excited to release two new resources-a short video and a two-page handout-that teachers can use to introduce students to how the music industry is using data and computation."

"Recently, my students gave me one of those golden moments in teaching.  Allow me to set the stage. We were over six weeks into a project-based life science unit in which students apply systems-thinking to closely examine the inner workings of a body system and relate that system to others as a subsystem. The set of standards housing our work is juicy with Crosscutting Concepts and ripe with potential for Science and Engineering Practices.  We began the unit exploring how cells themselves, a structure students often initially perceive as an end-all-be-all baseline to life, are instead a very complex system of subsystems.  That particular day, students were outlining components of their selected body system in preparation for writing  a podcast."

Computational thinking skills are important for all students, not just for future computer scientists. That's one of the key messages from a new report commissioned by the Department's Education for a Changing World initiative, and a message bolstered by growing international evidence.