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Is Working in AI a Good Career Choice?

CTE Learning

Unprecedented Growth Opportunities The AI industry is experiencing unprecedented growth, driven by advancements in machine learning, deep learning, and other AI subfields. In this article, we'll explore the compelling reasons why AI is not just a good career choice but a smart one.

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The Role of Simulations in the Learning Journey

Magic EdTech

Simulations unlike games have no end, so the student can continue to practice and learn as much as they’d like, whereas in games, when the game ends there is typically no way to go back and redo a specific portion or lesson. It brings learning to life where textbooks or traditional online learning often fall short.

educators

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Simulation Based Learning for Better Learner Engagement

Magic EdTech

4) Engagement and Deep Learning – In learning by doing, students engage deeply in an activity. This helps with deep learning and higher retention rates. Providing this flexibility without jeopardizing the experience is a challenge. The popularity of simulations as learning tools is on the rise.

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The 8 Elements of Critical Thinking

Educators Technology

5 important critical thinking skills Critical thinking, as stated earlier, is an analytic framework that consists of several thinking skills some of which include: 1- Asking questions The ability to think critically starts with posing serious and deep questions regarding what is normatively considered valid and true knowledge.

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Morph with the wind: shape-changing buildings

Futurum

Buildings are also becoming taller and more flexible, as lighter building materials and more sophisticated designs are developed, but wind-induced vibrations only get stronger and more serious with height. DID YOU ALWAYS WANT TO BE AN ENGINEER WHEN YOU WERE YOUNGER?

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What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. Almost certainly, I think.

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