Editor’s note: Google has just completed its first-ever Google for Education Study Tour, bringing nearly 100 educators from 12 countries around Europe to Lund, Sweden, to share ideas on innovating within their systems and creating an environment that embraces innovation.. One of the highlights of the two-day event was a visit to Oxievång School in Malmö, where principal Jenny Nyberg has led their adoption of technology in the classroom. Below, Jenny explains how to support teachers during a period of technology adoption.
When we’re introducing new technology for our classrooms, I tell my teachers to imagine the ultimate goal as an island we all have to swim toward. Some of us are very fast swimmers, and we’ll figure out how to get to the island quickly, and even get around any sharks. Some of us are slow swimmers, and may be hesitant to jump in, but the strong swimmers will show us the way (and how to get around the sharks). Eventually, we all have to jump into the water.
Bringing tech-based personalized learning into the classrooms at Oxievång School was our “island” and we’ve all completed the journey, which was particularly important given that our school, like the city of Malmö itself, is a mix of different people with varying needs. We have immigrant students as well as native Swedes; 40 percent of our students speak Swedish as their second language. But all students can become strong learners when teachers discover what motivates and excites them. When we adopted G Suite for education, our “fast-swimmer” teachers showed their colleagues how they could now customize learning for each and every student.
As school leaders, my vice principals and I served as role models for using G Suite— not just for teaching, but for making our jobs easier too. We showed teachers how to use Google Sites to store information we needed every day, like staff policies and forms. We walked teachers through the Google Docs tools that allow them to comment on student work immediately rather than waiting to receive homework from students, and giving feedback much later. When teachers saw this in action, they understood how adopting G Suite was going to make a big difference for their teaching effectiveness and their productivity.
If you want teachers to become enthusiastic about using new technology, they need to be confident in their use of the new technology. For this, you have to give them support. So we hired a digital learning educator who works exclusively with teachers to help them build up their technology skills. Every teacher receives a personalized development plan with a list of resources for training.
Our students have become more engaged in their coursework as teachers have become better at using Google technology to personalize learning. If students are curious about a subject, they can use their Chromebooks and G Suite tools to further explore the topic on their own. They also interact with teachers more often, even using Hangouts to meet with teachers outside of the classroom. As teachers become more confident, their enthusiasm spreads to the students.
Once we give teachers basic training, we keep supporting them so that the transformation spreads throughout the school. When they need extra help with using G Suite, teachers know where to find it: they can schedule a meeting with the digital learning educator. We have team leaders across grades and subjects who help teachers’ follow their development plans. Once a month, we all meet at school sessions called “skrytbyt,” which roughly translates as “boost exchange.” In these sessions teachers trade stories about lessons that went well and ask for advice about how to improve lessons they find challenging. Sharing knowledge is a great way to build confidence.
As leaders in education, we have to be honest with teachers and acknowledge that change isn’t easy, but assure them that we’re here for them. Teachers worry that students know more about technology than they do—students are the digital natives, while teachers are the digital immigrants. We constantly remind teachers that they can find inspiration in each other and in their students’ knowledge, so that we all make it to the island together.
Jason Levine hosts a fresh 3-week interactive live stream series to show how to take your video creation skills to the next level. This miniseries will focus on Audio and kicks off on December 1, 2017.
Nine months ago, 37 newsrooms worked together to combat misinformation in the run-up to the French Presidential election. Organized by First Draft, and supported by the Google News Lab, CrossCheck launched a virtual newsroom, where fact-checkers collaborated to verify disputed online content and share fact-checked information back to the public.
The initiative was a part of the News Lab’s broader effort to help journalists curb the spread of misinformation during important cultural and political moments. With a recent study finding that nearly 25% of all news stories about the French Presidential election shared on social media were fake, it was important for French newsrooms to work closely together to combat misinformation in a timely fashion.
Yesterday at our office in Paris, alongside many of the newsrooms who took part in the initiative, we released a report on the project produced by academics from the University of Toulouse and Grenoble Alpes University. The report explored the impact the project had on the newsrooms and journalists involved, and the general public.
A few themes emerged from the report:
You can learn more about the News Lab’s efforts to work with the news industry to increase trust and fight misinformation here.
With the season for giving right around the corner, we’re excited to kick off the Fi it Forward referral challenge. The challenge is rolling out today starting on desktop.
Like our last referral challenge, participants will earn prizes for the referrals they make throughout the challenge. In the Fi it Forward challenge, you can win up to two hardware gifts when you refer friends to Project Fi: a Google Chromecast and the new Android One moto x4.
But we’re most excited about our opportunity to pay it forward with our third gift. At the end of the challenge, Project Fi will donate $50,000 to the Information Technology Disaster Resource Center (ITDRC). We’re thrilled to see organizations like the ITDRC harness the power of communications technology to make a meaningful difference in crisis response and recovery, and we’re grateful to come together as a community to support their initiatives. Project Fi users don’t have to take any action to participate in the community gift—you’re already supporting the ITDRC’s disaster relief efforts just by being a part of Project Fi.
Ready to get started?. Remember to enter the challenge and get your referrals in by December 17. We can’t wait to Fi it Forward with all of you this holiday season.
Shadows don’t always have to be scary—they can be downright magical. This week, #teampixel is sharing everything from a solitary lemon’s shadow to palm trees silhouetted against a vivid sky in Venice, CA. Come chase shadows with us and see what you find.
If you’d like to be featured on @google and The Keyword, tag your Pixel photos with #teampixel and you might see yourself next.
Thanksgiving is just a few days away and, as always, your Google Assistant is ready to help. So while the turkey cooks and the family gathers, here are some questions to ask your Assistant.
Happy Thanksgiving 🦃
Earlier this year, 3D modeler Jarlan Perez joined the Blocks team for a two-week sprint. The goal of his time with the team was to create a fully immersive virtual reality game in just two weeks using Blocks and Unreal Engine, two tools that have significantly influenced his process as a modeler and game enthusiast.
The result was “Blocks Isle,” the first level of a game that takes you on a journey to find your long lost friend in a sci-fi land of wonder. To win, you must solve a puzzle using hidden clues and interactions throughout the experience.
You start out on a strange desert island. After uncovering some clues and pulling a handy lever, a rocky pathway opens for exploration. Up ahead, hidden radios and books reveal clues to solve the puzzle.
We caught up with Jarlan to hear more about his process and advice for other developers building immersive experiences using Blocks and Unreal Engine 4.
Brittany: Tell us about using Blocks and Unreal to develop a game in such a short amount of time.
Jarlan: Tag teaming both pieces of software worked very well! Blocks allowed me to visualize and be in the space during the modeling and conceptual phase. Unreal is like giving an artist magical powers: I’m able to fully build a proof of concept and implement functionality without having to be a professional programmer.
I found myself spending part of the day in Blocks experimenting with concepts and the rest in Unreal creating basic functionality for those ideas. This method allowed for rapid prototyping and was later beneficial when populating the space with art assets.
What tips and tricks did you uncover that made it easy to build your game?
Being able to build large parts of the environment while standing smack dab in the middle of it is wonderful.
A big thing that I found myself doing is blowing the scene up to actual size, standing in it, and using a combination of the move grip and me moving my arms back and forth to simulate walking within the space. It helped me further understand how I wanted the player to navigate the space and where certain things needed to be placed. Again all within Blocks and no code.
Another general tip, the snap trigger is your friend! I’ve used it for most of my modeling in Blocks to snap and place assets.
How did you experiment with different ideas and concepts?
I had a few different concepts when I started the project. Blocks allowed me to quickly build a mock up of each for testing.
Blocks is an amazing tool for spatial prototyping. Before bringing a scene into Unreal, I’d blow it up to scale and move around in the space to see if it makes sense for what I’m trying to achieve. This saved me so much time.
Without Blocks, how might this process have been different?
After all is said and done, I still had to take the geometry from Blocks and bring it into a 3D program for unwrapping and lightmap baking.
That said, even though I am proficient in traditional 3D modeling, I think the project would have taken longer to put together without Blocks. Blocks helped me take out some steps in the process. Traditionally I’d model out the scene and export pieces as I went, bringing them into the engine, placing them, and moving around to get a sense of how the space feels. All that got combined inside Blocks. Oh, and not to mention color exploration. If I wanted to try out colors I’d also have to create materials and place them on each asset during the in-engine test which takes more time. I can easily preview all of that in Blocks.
What advice would you give to other game developers about using these tools?
Keep exploring and always stay hungry. Be on the lookout for new tools that can improve your process and don’t be afraid of trying something new. If it doesn’t work out, it’s ok. We learn so much more from the challenges we take on than from the ones we don’t face by walking the easy path.
There are some amazing low poly games and artists out there. I think many artists would benefit from making models in VR using Blocks. If I was able to finish this project in two weeks, I can only imagine what a small team could do. Give it a try, and post your creations or questions using #MadeWithBlocks.
If you’d like to experience Blocks Isle on the HTC Vive, you can download the game.
Turkey, “Titanic” and the pope’s new ride were on our minds this week. Here are a few of the week’s top search trends, with data from the Google News Lab.
As people in the U.S. prepare to gather around the table for Thanksgiving next week, our Thanksgiving insights page has all the trends. Pumpkin pie dominates searches in the U.S., but pecan pie is more popular in the southeast and apple pie is the state favorite in New Hampshire and Massachusetts. A smoked turkey is popular in most states, though some contend it should be roasted, fried or grilled. And Friendsgiving continues to rise in popularity, with searches like “friendsgiving ideas,” “friendsgiving invitations” and “friendsgiving games.”
Two decades ago, “Titanic” left an iceberg-sized hole in our hearts, and now it’s coming back to theaters in honor of its 20-year anniversary. In the years since its debut, search interest in “Titanic” reached its highest point globally in April 2012 when Titanic in 3D was released. All this talk of sinking ships made us think about other famous boats—the top searched shipwrecks this week include the Batavia, the Edmund Fitzgerald and the USS Indianapolis.
The “popemobile” got an upgrade this week. Lamborghini gifted the pope a special edition luxury car, which he decided to auction off for charity. Though the pope is known for his affinity for Fiats, interest in “Pope Lamborghini” zoomed 190 percent higher than “Pope Fiat.” People also searched to find out, “Why did the Lamborghini company give the pope a car?” and “How much does the Lamborghini that they gave the pope cost?”
Searches for “UCLA basketball players” shot 330 percent higher this week when three players returned home after being arrested for shoplifting while on tour with the team in China. The search queries dribbled in: “How long are the UCLA players suspended for?” “Why did China let the UCLA players go?” and “What were the UCLA players stealing?”
With hits like “Despacito” and “Mi Gente” taking over the globe this year, the Latin Grammys last night were a hot ticket. People searched “How to watch the Latin Grammy awards online,” “What time are the Latin Grammy awards on?” and “How does music qualify for a Latin Grammy award?” Of the nominees for Record of the Year, “Despacito,” “Guerra,” and “Felices Los 4” were the most searched.
Suhani Vora is a bioengineer, aspiring (and self-taught) machine learning expert, SNES Super Mario World ninja, and Google AI Resident. This means that she’s part of a 12-month research training program designed to jumpstart a career in machine learning. Residents, who are paired with Google AI mentors to work on research projects according to their interests, apply machine learning to their expertise in various backgrounds—from computer science to epidemiology.
I caught up with Suhani to hear more about her work as an AI Resident, her typical day, and how AI can help transform the field of genomics.
Suhani: During graduate school, I worked on engineering CRISPR/Cas9 systems, which enable a wide range of research on genomes. And though I was working with the most efficient tools available for genome editing, I knew we could make progress even faster.
One important factor was our limited ability to predict what novel biological designs would work. Each design cycle, we were only using very small amounts of previously collected data and relied on individual interpretation of that data to make design decisions in the lab.
By failing to incorporate more powerful computational methods to make use of big data and aid in the design process, it was affecting our ability to make progress quickly. Knowing that machine learning methods would greatly accelerate the speed of scientific discovery, I decided to work on finding ways to apply machine learning to my own field of genetic engineering.
I reached out to researchers in the field, asking how best to get started. A Googler I knew suggested I take the machine learning course by Andrew Ng on Coursera (could not recommend it more highly), so I did that. I’ve never had more fun learning! I had also started auditing an ML course at MIT, and reading papers on deep learning applications to problems in genomics. Ultimately, I took the plunge and and ended up joining the Residency program after finishing grad school.
I’m a cross-disciplinary deep learning researcher—I research, code, and experiment with deep learning models to explore their applicability to problems in genomics.
In the same way that we use machine learning models to predict the objects are present in an image (think: searching for your dogs in Google Photos), I research ways we can build neural networks to automatically predict the properties of a DNA sequence. This has all kinds of applications, like predicting whether a DNA mutation will cause cancer, or is benign.
On any given day, I’m writing code to process new genomics data, or creating a neural network in TensorFlow to model the data. Right now, a lot of my time is spent troubleshooting such models.
I also spend time chatting with fellow Residents, or a member of the TensorFlow team, to get their expertise on the experiments or code I’m writing. This could include a meeting with my two mentors, Mark DePristo and Quoc Le, top researchers in the field of machine learning who regularly provide invaluable guidance for developing the neural network models I’m interested in.
I like the freedom to pursue topics of our interest, combined with the strong support network we have to get things done. Google is a really positive work environment, and I feel set up to succeed. In a different environment I wouldn’t have the chance to work with a world-class researcher in computational genomics like Mark, AND Quoc, one of the world’s leading machine learning researchers, at time same time and place. It’s pretty mind-blowing.
We have such a wide array of backgrounds among our AI Residents! The only real common thread I see is a very strong desire to work on machine learning, or to apply machine learning to a particular problem of choice. I think having a strong background in linear algebra, statistics, computer science, and perhaps modeling makes things easier—but these skills are also now accessible to almost anyone with an interest, through MOOCs!
Ultimately, it really just depends how creative we are in figuring out what AI can do for us. Current deep learning methods have become state of the art for image recognition tasks, such as automatically detecting pets or scenes in images, and natural language processing, like translating from Chinese to English. I’m excited to see the next wave of applications in areas such as speech recognition, robotic handling, and medicine.
Interested in the AI Residency? Check out submission details and apply for the 2018 program on our Careers site.
Posted by Dave Smith,
Developer Advocate for IoT
Back in September, we worked
with Hackster.io to encourage the developer community to build smart
connected devices using Android Things and post their projects to the Developer Challenge for Android
Things. The goal was to showcase the combination of turnkey hardware and a
powerful SDK for building and maintaining devices at scale.
Thank you to everyone who participated in the contest and submitted a project or
idea. We had over 1100 participants register for the contest, resulting in over
350 submissions. Out of that group, we’ve chosen three winners. Each winner will
receive support and tools from Dragon Innovation to develop their
concepts into commercial products. Join us in congratulating the following
Best Enterprise Project: Distributed
Air Quality Monitoring
Monitor air quality on a street-by-street level using Android Things, Google
Cloud IoT Core, and taxis!
This project showcases how Android Things makes it easy to build devices that
integrate with the various services provided by the Google Cloud Platform for
robust data collection and analysis. It’s a clever end-to-end solution that
shows understanding of both the problem domain as well as the technology.
Best Start Up Project: BrewCentral
Brewing amazing beer is a balance of art, science, and ritual. The
BrewCentral system makes it possible for anyone to do an all-grain brew!
BrewCentral pairs a real-time PID controller with the touch-enabled UI and
decision-making compute power of Android Things. The result is a system that
accurately controls the time, temperature, and flow rates necessary to achieve
repeatable results during a brew cycle. The planned enhancements for cloud-based
brewing recipes will make this a connected experience for the entire brewing
Best IoT Project: BrailleBox
– Braille News Reader
Maker: Joe Birch
BrailleBox is a small piece of hardware that empowers users who are
hard-of-sight to read the latest news articles in Braille.
This project is a great use case of using IoT to have a social impact. The
current proof of concept streams articles from a news feed to the Braille pad,
but this project has the potential to leverage machine learning on the device to
translate additional input from the physical world into a Braille result.
The community submitted some amazing projects for the contest, which made the
choice of picking only three winners extremely difficult. Here are a few of our
favorite projects that weren’t selected for a prize:
We encourage everyone to check out all the new projects in the Google
Hackster community, and submit your own as well! You can also join Google’s IoT Developers Community on Google+, a
great resource to get updates, ask questions, and discuss ideas. We look forward
to seeing what exciting projects you build!
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When this year’s Adobe Creative Residency kicked off in May, interaction designer and recent grad Natalie Lew was ready to get to work; she just needed to figure out what, exactly, she wanted to be working on.
Your smartphone or smartwatch can be your ticket to a more streamlined shopping experience. In this article, I’ll outline two popular mobile payment solutions: Apple Pay and Android Pay by Google.