Sentences with phrase «learn the technology at»

Those experts were Christopher Dede, a professor of educational technology at the Harvard Graduate School of Education; Cathleen A. Norris, a professor of learning technologies at the University of North Texas; and Elliot Soloway, a professor of computer science and education at the University of Michigan.
Another practical idea is to use a virtual field trip to ready students for a real visit to a similar locale, says Chris Dede, a professor of learning technologies at Harvard University (and a member of The George Lucas Educational Foundation's National Advisory Council).
Teacher Knows if You've Done the E-Reading New York Times, 4/8/13 «Chris Dede, a professor of learning technologies at Harvard's Graduate School of Education, is more apprehensive.
Customization Is the Future of Teaching, Harvard Researcher Says The Chronicle of Higher Education, June 25, 2012 «It doesn't have to be that way, says Chris Dede, a professor of learning technologies at Harvard University.
Wright commented: «When we look back to the UK's early adoption of learning technology at the turn of the century, we made many mistakes and have learned a number of lessons.
That's according to a recent report by Towards Maturity, the independent, UK - based, not - for - profit company that investigates the impact of learning technologies at work.
«A commercial game is necessarily designed with entertainment as its primary goal,» said Chris Dede, a professor of learning technologies at the Harvard Graduate School of Education.»
'Em bodied Learning» Blends Movement, Computer Interaction Education Week, October 9, 2012 «Christopher Dede, a professor of learning technologies at the Harvard Graduate School of Education, said embodied learning has potential, but there is little academic evidence to suggest the results are conclusively worth the cost, as the field has not yet been thoroughly researched.»
Prior to joining Insight, Anissa served as director of learning technology at a national non-profit organization focused on educator effectiveness.
The simplicity of the system takes the focus off the technology and puts it back where it belongs — on the content,» said Tischann Turner, Director of Learning Technology at Metropolitan Nashville Public Schools.
Ken Black is associate CTLE director, teaching and learning technologies at Dominican University (River Forest, IL); prior to that he was assistant director of the library and reference librarian at Dominican, and also has earlier public library experience.
We had a device or two at our library branch to learn the technology at our own pace.

Not exact matches

«At the time, it didn't solve big practical AI problems, it didn't replace the existing technology,» said Hinton, considered the godfather of deep learning, in a 2016 interview with Maclean's.
«Companies have gotten very good at providing creature comforts to developers — they have candy, free lattes, free massages — but if you ask developers what they want, it's a quiet place to work, with a door that closes and more flexibility on getting to learn the technology and experiment.
As you've no doubt guessed, it's a digital revolution that calls into question the very principles of education, prompting Peter J. Wells, chief of higher education at UNESCO, to remark that: «Industry employers contend that half of what students learn in the first two years of a four - year technology degree will be out of date by the time they graduate.»
In short, NMT is a deep learning technology that translates within context, not just one word at a time.
IT experts will need to become more deeply embedded in operations as processes are redesigned around IoT and managers at every level will need to learn how to interpret real - time data (i.e., the integration of information technology and operations technology).
After more than a decade of research on the use of machine learning to detect disease - causing mutations in DNA, Brendan Frey, biomedical engineering professor at the University of Toronto, this week launched his company, Deep Genomics, to bring the technology his team developed to the public at large.
It involves each student learning at his or her own pace, generally through the aid of technology, and it's beloved by tech billionaires like Bill Gates and Mark Zuckerberg.
Soundpays co-founder Peter Misek first learned of sound - wave technology when he served as a venture partner and board adviser at London's DN Capital.
Giorgos Zacharia, CTO at Kayak, says machine learning technology and big data are used to save money on airfares.
Sandy Carter, a tech veteran and a founding board member of WITI (Women in Technology International), learned a valuable lesson when one of her mentors pointed out that she always ate lunch at her desk, missing out on valuable opportunities to build relationships and advance her career.
Machine learning and AI technologies, at a very basic level, replicate human intellectual capabilities.
What is particularly exciting right now is that technologies from companies like BloomReach, Skytree and BigML have made machine - learning solutions readily accessible to organizations at a lower cost.
Staff at Boston University are looking to use this kind of technology to create immersive, stimulating learning experiences.
After garnering feedback from more than 80 Kaplan executives and technology experts, and tinkering with their revenue models, design plans and presentation speeches for three months at Kaplan's New York City offices, the teams behind these disruptive education technology companies have learned their fair share of business lessons.
Simple: technology tends to improve the lives of people and companies -LSB--RSB- by saving them time and money, by increasing their ability to communicate or learn, or at the very least entertain them.
After all, Musk explained, he spends at least 90 % of his time on either the electric car company or SpaceX; 3 % to 5 % on Neuralink, a venture aiming to create interfaces between the human brain and machine - learning technology; 2 % on his new tunneling project called the Boring Company; and the remainder on OpenAI, a non-profit dedicated to artificial intelligence research.
«You are the most diverse class in Northeastern's history — in other words, you are Donald Trump's worst nightmare... I think that everything that we've lived and learned tells us that we will never come out on top if we accept advice from soundbite salesmen and carnival barkers who pretend the most powerful country on Earth can remain great by looking inward and hiding behind walls at a time that technology has made that impossible to do and unwise to even attempt.
There's all this learning at work when we're being exposed to projects, conferences, or technology.
At the same time, Musk's Tesla continues to push deeper into the world of AI research itself as it develops machine learning technology for autonomous vehicles.
Technology giant Apple is looking beyond mobile devices to learn how to make a self - driving electric car, and is talking to experts at carmakers and automotive suppliers, a senior auto industry source familiar with the discussions said on Saturday.
And with machine learning, technology will automatically adjust to fit each user's style to ensure they're working at optimum efficiency.
«If you can approach it that way and take every day on — and I learned this from (WWE CEO) Vince McMahon — approach every single day like it's your first day on the job,» he told CNBC at the Web Summit technology conference in Lisbon, Portugal.
More than a decade before he started Tesla, Musk was studying physics at the University of Pennsylvania and then battery technology at Stanford, both key fields for learning how to build an electric car.
What is most concerning is that adversaries and opportunists — ranging from spies abroad to political aspirants at home — have learned to exploit the world's interconnected communications technologies to sow fear, paranoia, and division among its people.
I recently spoke with Jeff Yee, vice-president of technology planning at ZTE on my podcast to learn more about this fresh approach to the creation process.
Papa's comments on Tuesday were a stark contrast to the tone of cautious optimism at the conference, where many executives claimed that data analytics and technology, like machine learning, will improve efficiency in the oil patch and fuel further gains.
While human augmentation is just at the beginning of the innovation trigger phase of the Hype Cycle, complementary emerging technologies such as machine learning, blockchain, drones (commercial UAVs), software - defined security and brain - computer interfaces have moved significantly along the Hype Cycle since 2016.
After this webinar, you'll: * Know what types of personalization are acceptable, and which to avoid * Learn the correct process for on - boarding personalization, and how to manage when consumers opt - out * Understand what the future of personalization looks like, for both B2C and B2B organizations * Get an overview of the rules and regulations at play * Find out the marketing technologies that will save all marketers from crossing the «uncanny valley» into «Creepyville» If you're a CMO, SVP / VP of Marketing, Marketing Director, or Marketing Manager, you won't want to miss this.
In this live virtual executive roundtable, you'll: * Learn what entrepreneurs need to do to get noticed by top VC firms * Look at the most active venture capitalists in tech today * Discover the biggest mistakes made by foundering startups * Identify the weaknesses that are keeping you from becoming the next unicorn Speakers: * Ton van't Noordende, Venture Partner, Keadyn * Jon Cifuentes, Cofounder Research and Operations, All Turtles * Matthew Zeiler, CEO, Clarifai * Stewart Rogers, Director of Marketing Technology, VentureBeat
Other technology firms that made it to the list are Nvidia at no. 28, which produces chips for futuristic technologies such as deep learning and driverless cars, Facebook at no. 29 for investing in Messenger and for hosting news articles on its platform, Japanese messaging app maker Line at no. 37, Coinbase at no. 40 for enabling Bitcoin payments in PayPal and Expedia, IBM at no. 46 for its work with Watson, Snapchat at no. 47 for its innovative new format, and Uber at no. 50 for its ride - sharing services and driver deliveries.
«I had a great experience working at Tesla, learned a lot, and look forward to all the great technology coming from Tesla in the future.
«It is clear that technologies like artificial intelligence and machine learning will have a huge impact on future mobility and society at large.
FRANKFURT / SAN FRANCISCO (Reuters)- Technology giant Apple (AAPL.O) is looking beyond mobile devices to learn how to make a self - driving electric car, and is talking to experts at carmakers and automotive suppliers, a senior auto industry source familiar with the discussions said on Saturday.
Nicole was named «Woman of the Year» at the 2016 Cyber Security Awards for successfully introducing disruptive machine learning technology to the global market.
TweetOctober 26, 2016 The STEM Education Coalition Policy Forum and the Afterschool Alliance have collaborated to develop a toolkit of materials to help advocates make the case at the state and local level for science, technology, engineering, and mathematics education to be a top priority and to integrate afterschool and informal learning strategies into overall plans -LSB-...]
Prior to joining Garage in 1998, Bill was a co-founder and senior executive at several early - stage, venture - backed technology companies, including Trademark Software, The Learning Company, Infa Technologies, and Academic Systems.
SecuredTouch demoed U-nique, a behavioral biometrics technology that leverages machine learning, at FinovateEurope last month in London.
Schawbel will be co-hosting, with Future Workplace Partner Kevin Mulcahy, The Future of Learning & Working conference from March 1st to 2nd at the Microsoft Technology Center in Los Angeles, California.
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