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Thank you @NikPeachey for a great read. I really like "We Become what we Behold". https://t.co/mPJwzX4h6V

"The new information landscape is a product of algorithmic data collection used by social media platforms, like Facebook and YouTube, news sites, and even our cellphones. Companies use invisible computer codes to track users' interactions in order to personalize their web experiences and influence their buying and viewing behavior, leading to concerns about privacy, accuracy of information, the preservation of shared norms, and authenticity. Data is collected everywhere. Even schools, from elementary schools to higher education institutions, collect data on students through learning management systems (LMS), thrusting schools directly into debates that consider how these companies, like Canvas, protect or use data. While the ethics and impact of algorithmic-driven content on platforms like Facebook or an LMS are murky and just emerging, the Project Information Literacy study raises immediate flags."

"This set of tutorials provides instructions on how to record audio material from a variety of sources and then deploy it to CD, your computer or portable music player."

"I am beyond elated - our PreK-6 elementary school received monies, through our district's Computer Science Resolution 2025, to create a STEAM (science, technology, arts, math) makerspace. I never thought our Title 1 school would get the opportunity to create such a space. I never thought I would get the opportunity to help create a fully equipped makerspace. A few of use spent the past few weeks rearranging our library so that one side contains our books and the other our STEAM materials."

"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."

For schools in Australia and many parts of the world, we are heading towards the end of another school term and year. That means report writing season. For the next few weeks, teachers across the country will be huddled in front of computer screens, writing reflections on the progress their learners have made. Mark books will be opened, assessments consulted, work samples will be reviewed. All so that in the first week of the long Summer vacation students can sit and read their report and make plans for how they will enhance their learning in the coming year.

"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."

"Last year, in the height of the election season, the Obama administration quietly released a national strategic plan for artificial intelligence (AI) research and development. The plan was the beginning of a national effort to prepare Americans for a future with AI-a future some computer scientist believe our nation is ill-equipped to handle. AI has become a part of the American fabric for some time. Siri and Alexa are already taking orders, self-driving cars have hit some streets, and the concept of interconnectivity is now a reality through the Internet of Things. But experts assert that in order for the society to fully embrace AI, learning machines should not replace human workers, but complement them. So to prepare the future workforce for a computer coworker, there must be a shift in teaching and learning-a change that should begin in the classroom."

"Peter Farrell spent more than a decade teaching math and computer science. Somewhere along the way, he began using Python to create programming challenges to pair with his lessons. But what started as a way to reinforce math concepts gradually developed into something else - a gateway to a more practical approach to math education. Peter saw how coding projects allowed students to shift from passively learning concepts to actively working, reasoning, and playing with them. In other words, code helped them to go from learning about math to actually doing math. As he says "Why should the science, art, and home-ec students have all the fun? It's about time we heard students saying Look what I made in math class!""

"Artificial Intelligence (AI) is driving the next wave of technological innovation and is changing almost every industry around us. With the expansion and ubiquity of AI being a motivating factor in the decisions and need for all children to develop their understanding of Computer Science, it is logical that children also must need to develop their understanding of AI itself. We have two free teacher professional development MOOCs in AI available to suit your year level: Teaching AI in the Primary Classroom and Teaching AI in the Secondary Classroom. Our AI courses are presented in two related parts. Firstly, we provide school teachers with an overview of AI, unpacking AI and key concepts across both MOOCs. The second half of our AI MOOCs are specific to the year level you have selected (primary or secondary). In these units, we present the practical implementation of classroom activities that engage students in learning about AI, including support for teachers about the design and assessment of learning activities. You may complete one or both primary and secondary courses! From the 21st of June, our "Overview" units will be available to access, with the second half of the course being available in July. Registration is now open!"

"Computing is an integral part of every aspect of our lives, from how we connect with each other to the way we do our jobs and get around. Computing is the number one source of all new wages in the U.S. economy and there are currently 500,000 open computing jobs across the country. Yet, according to a Code.org report, only 15 states require all high schools to offer computer science. Many parents, educators, and education institutions are calling for computer science to be a high school graduation requirement. As one commentator pointed out: Schools teach math to students regardless of whether they want to become mathematicians because it is foundational. The same is true of computer science. There are a number of benefits to taking computer science in high school."