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By Courtney Schley This post was done in partnership with Wirecutter. When readers choose to buy Wirecutter's independently chosen editorial picks, Wirecutter and Engadget may earn affiliate commission. Read the full learning apps guide here. We sp…
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Iraq war veteran Joshua Carroll used to spend nights at his security post watching YouTube to learn trigonometry so he could pursue his passion for space. In just three weeks, YouTube helped him improve his math skills from a 10th grade level to the level required to take physics classes at New River Community College in Virginia. Today, he makes a living as a physicist, using Bernoulli differential equations in fluid flow systems. Joshua is not alone–people all over the world use YouTube to learn and follow their passions.
Whether it’s learning prerequisites for a college course or how to compete in Olympic javelin throwing, everyone seems to have turned to YouTube to learn something. Many of these learning stories are powered by an incredible community of EduTubers like PhysicsGirl and Manual do Mundo, whose videos have demonstrated the appeal of content that enriches as well as entertains.
In July, Susan, our CEO, announced YouTube Learning, an initiative to support all those who use YouTube to share their knowledge with the world and the millions of users who come to our platform to learn. And today she shared that we’ll be investing $ 20m to expand this initiative as we strive to make YouTube even better for educators and learners. Here’s more on the steps we’ll be taking:
Funding for Great Educational Creators on YouTube
We’ve already completed our first round of investment in some of the most respected names in online education like TED-Ed or Hank and John Green’s Crash Course. We’re also supporting many of our emerging EduTubers like Socratica and Linda Raynier. Creators who are interested in applying to the Learning Fund can sign up for more information here.
In addition to investing in EduTubers through the Learning Fund, we’re also developing new YouTube Originals focused on learning like Mind Field: Season 3 from Vsauce creator Michael Stevens, and a new series with Vox Entertainment which was announced earlier this month.
Partnering with Trusted Institutions
We know it’s important to make quality learning content easier to find on YouTube, so we’re launching a new channel called Learning, where major partners like Goodwill and Year Up are contributing curated playlists highlighting videos that teach career skills. The channel will make it easy for users to find tutorials, DIY videos, explainers, and skill-based playlists.
We’re also excited to announce partnerships with leading online learning platforms, like edX, a non-profit offering courses from the world’s best universities and institutions, and OpenClassrooms, an education platform based in France. Together they will bring over some of their most popular video courses to YouTube.
Expanded Resources and Support for EduTubers
In 2018 we’ve held YouTube EduCon conferences in California, Mexico, and Brazil to connect EduTubers with new resources and each other. These creators are a testament that powerful educational content can come from anyone, anywhere. Here are a few more ways we plan to support them in 2019:
We may not all become scientists or professional chefs by learning through videos, but we can promise that anyone who wants to learn and teach will have ever greater opportunities to do so on YouTube. Expect more announcements in the months and years to come as we continue to meet with you and hear how we can best support learning on YouTube.
Malik Ducard, Global Head of Learning, Social Impact, Family, Film & TV, recently viewed “Where Does the #Hashtag Symbol Come From?“
Machine learning is one of the biggest trends in current development and tech circles, and you’re going to want to stay in the loop with something this big. Right now we’re offering a comprehensive machine learning bundle that includes several ebooks and educational courses, and it won’t break the bank. The bundle includes six ebooks […]
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A proof-of-concept project at the University of Texas at Austin shows that a machine learning system can predict with 75 percent accuracy whether an individual has a major depressive disorder based on MRI scans.
The post Machine learning algorithm can help predict depression based on MRI scans appeared first on Digital Trends.
Egyptian fruit bats are widespread throughout Africa and often roost together in colonies of 1,000 or more individuals. With that many neighbors packed together, it's no wonder they're such a noisy bunch. And thanks to some exciting machine learning…
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According to the Computer Science Education Coalition, there are over 500,000 unfilled computing positions in the United States, and that number is only growing every year. It goes without saying, we need people to start learning different specialties within the computer science field, and fast. If you’re interested in following that path, a great place […]
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Lingohop is a new language-learning platform that launched on Kickstarter. It works through four-minute lessons based on topics you choose, and aims to teach you a language through relevant conversations you want to have.
The post Lingohop wants to make language learning personal, relevant to you appeared first on Digital Trends.