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"Learn how to recognize and count with coins using the MaKey MaKey. Anyone with a MaKey MaKey can create this educational tool for kids. The software is written in Scratch, which can be modified in order to go deeper in using coins as well as Scratch programming. We hope that you have fun!"

"With some thick cardboard, a cutting knife, some hot glue, a ruler, and probably a bit of trial and error, you can create your own DIY coin sorting machine. The key to the sorting "mechanism" is to cut the right size holes in the correct order-smallest to largest. Watch this how-to video from The Q."

"Get into the holiday season by making these Christmas light-up cards using paper circuits. Learn how to create a simple circuit using copper tape, a coin cell battery and an LED light."

How To Create Your Own Cryptocurrency: In the cryptocurrency market, you can be not only a trader or holder but also the owner of your coin. The chance of making a profit is not very great, but many interesting tasks are easier to solve if you have the author's currency. We will tell you how to issue your cryptocurrency, what problems you will face, and how to solve them.

How To Create Your Own Cryptocurrency: In the cryptocurrency market, you can be not only a trader or holder but also the owner of your coin. The chance of making a profit is not very great, but many interesting tasks are easier to solve if you have the author's currency. We will tell you how to issue your cryptocurrency, what problems you will face, and how to solve them.

"A paper circuit is a low-voltage electrical circuit that is created on paper or cardboard using conductive copper tape, LEDs and a power source such as a coin-cell battery.  Creating paper circuits is a good way to teach the basics of electricity and how circuits function.   In addition to being educational, they can also be a fun makerspace project that helps to bring artwork and paper craft to life.  By adding sensors, buzzers and motors to your circuit, you can also add another dimension of interactivity.  These simple projects are great for all ages and all makerspaces."

"If you're still adapting to millennials in the workplace, it's time to move on because the next generation of workers is here. We call them "digital natives" and their lives have always been integrated with technology. According to Marc Prensky, the author responsible for coining the term, digital natives are by definition a generation of children born into a completely digital world. As businesses prepare to welcome this new generation, we'll discuss what these businesses should know and how they can leverage the digital wisdom and tech-ready mindsets the digital natives will bring to the workforce."

"Catherine Good has experienced stereotype threat herself, although she didn't know it at the time. She started her academic career in pure math, expecting to get a Ph.D. But somewhere along the way she started to feel like it just wasn't for her, even though she was doing well in all her classes. Thinking that she'd just chosen the wrong application for her love of math, Good switched to math education, where she first encountered the idea of stereotype threat from a guest psychology speaker. "As he talked about students feeling that they don't really belong, I had an epiphany," Good said. She realized the discomfort she'd felt studying mathematics had nothing to do with her ability or qualifications and everything to do with a vague sense that she didn't belong in a field dominated by men. Stereotype threat is a term coined by psychologists Joshua Aronson and Claude Steele. They found that pervasive cultural stereotypes that marginalize groups, like "girls aren't good at math," create a threatening environment and affects academic achievement. Good was so fascinated by how powerful psychological forces can be on learning, including her own, that she switched fields again to study social psychology, and she ended up working closely with Carol Dweck for several years when Dweck's growth mindset work was in its early stages and not yet well-known among educators. Good now works at a psychology professor at Baruch College. Originally, Dweck and Good hypothesized that believing intelligence is flexible - what we now call a growth mindset - could protect students from stereotype threat, an inherently fixed idea."

"What is "authentic assessment"? Almost 25 years ago, I wrote a widely-read and discussed paper that was entitled: "A True Test: Toward More Authentic and Equitable Assessment" that was published in the Phi Delta Kappan. I believe the phrase was my coining, made when I worked with Ted Sizer at the Coalition of Essential Schools, as a way of describing "true" tests as opposed to merely academic and unrealistic school tests. I first used the phrase in print in an article for Educational Leadership entitled "Teaching to the (Authentic) Test" in the April 1989 issue."

"As a passionate Economics major in college (which grew into an MBA), I find Econ at the root of much of the world around us. It starts with counting coins in first and second grade and grows up to a peek into NASDAQ and other adult subjects in middle school."

"What are your kids doing with all of their 'cognitive surplus'? Not sure? OK, let's take a step back. What is 'cognitive surplus'? 'Cognitive Surplus' is a term coined by author and professor at NYU's interactive telecommunications programme, Clay Shirky. Regarded as one of the leading thinkers on the Internet, technology and its impact on society, Clay introduced the concept in his fascinating and aptly titled book, Cognitive Surplus: Creativity and Generosity in a Connected Age."

"With an ever growing list of daily interactions occurring digitally, the result of small online decisions can have a huge and lasting impact. As educators, it is critical that we convey this impact to students and consider all elements of Digital Citizenship when working with them in the digital world. In the words of the man who coined the nine elements of Digital Citizenship:"

"Step right up to see impressive iPad and iPhone tips and tricks! Learn stunts like annotating photos without an app, compelling Siri to flip a coin, conjuring up keywords on a page, hearing highlighted text, making clutter on web pages vanish, closing all Safari tabs in the blink of an eye…the magic at your fingertips seems limitless. So many secrets are unleashed below!"

"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."

"Augmented Reality (AR) is the imposing of digitally generated images into a viewer's real-world surroundings. Unlike Virtual Reality, which creates a completely artificial environment, AR uses the existing environment and overlays it with new information. Augmented reality apps are usually written using special 3D programs which allow developers to superimpose animation in the computer program, to an AR "marker" in the real world. It is now popularly being used by advertisers to create 3D renders of products, such as cars, the inside of buildings, and machinery. This provides consumers with a 360-degree product view. The term 'Augmented Reality' was coined by Boeing researcher Thomas Caudell in 1990, to explain how head-mounted displays of electricians worked during the assembling of complicated wiring. Since then, the technology has been used in CAD programs for aircraft assembly, architecture, digital advertising, simulation, translation, military, and various medical procedures. Tech giant Google, unveiled Google Glass in 2013, propelling AR to a more wearable interface - glasses. It works by projecting on the user's lens screen while responding to voice commands, overlaying images, videos, and sounds."

"The term learning engineering was coined more than 50 years ago by Herbert Simon, a Nobel Laureate and Carnegie Mellon professor. Today there is renewed interest in the discipline, which merges scientific methods and engineering principles with learning. A new Guild Research report, Learning Engineering: A Primer, by Ellen Wagner, PhD, explores how learning engineering is expected to impact L&D. It may be of specific interest to instructional designers, who may already be incorporating or honing some of the skills that learning engineers require."

"Get into the Halloween "spirit" by creating these fun light-up paper circuit cards. This project is not only fun but educational. You will learn how to create different kinds of conductive circuits using copper tape, LEDs and a coin cell battery. Download the FREE Halloween project ebook using the link below. Ebook contains all 13 spooky paper circuit templates. Color them or print them on colored paper. Happy Halloween !!"

"The phrase "artificial Intelligence" was coined by pointy-heads at MIT in 1955. Back then, it referred to an obscure field of computer science devoted to then-hypothetical programs that could engage in tasks that "require high-level mental processes such as: perceptual learning, memory organization, and critical reasoning." Fast-forward to 2023: While AI has been a murmur in tech circles for the last few years, those conversations really get loud until the commercial release of products like Chat GPT and DALL-e. Now everyone is talking about AI, everywhere you go-hyping it, demonizing it, fearing it-but most of all, misunderstanding it. This is partly because it's a complex subject-we don't even agree on what "intelligence" is, let alone "artificial intelligence"-but another reason so many are getting AI wrong essentially comes down to that familiar villain capitalism. With the explosion in popular interest, advertisers and marketers are using terms like "AI," "AI-powered," and "artificial intelligence" as a selling point so much, they're beginning to lose what little meaning they once had."