Sentences with phrase «deeper learning in»

Each workshop will provide a unique learning experience that delves into content and appropriate pedagogy while utilizing different entry points for deeper learning in education

Author and consultant Monica Martinez profiled eight innovative public schools involved in deeper learning in her recent book, with the same title.

Authors Pedro Noguera, Linda Darling - Hammond, and Diane Friedlaender describe the obstacles that prevent schools from delivering high - quality instruction; examine educational models, structures, and practices that facilitate deeper learning; and take a systemic perspective to consider how policy, practice, and research can be aligned to support the development of pedagogy for deeper learning in schools serving students who have been placed at risk of failure.

We sat down with Dr. Noguera, author of Taking Deeper Learning to Scale, to discuss the role of deeper learning in providing all students with an equitable and empowering education and what it will take to «scale up» deeper learning practices.

In fact, it is impossible to achieve the goals of better teaching and deeper learning in mathematics classrooms by using poorly crafted high - stakes tests as the benchmark for success.

Expeditionary Learning encourages deeper learning in 165 schools, and there are more than 500 schools in 42 states within Hewlett's Deeper Learning Network.

TeachThought, LLC Te@chthought Blog 6 Powerful Strategies For Deeper Learning In Your Classroom July 9, 2014

Leaping the College Ready Gap Education experts Monica Martinez and Dennis McGrath argue that incorporating deeper learning in schools may be the answer to finally closing the gaps for Latino and black students in college attainment.

CCE: What teaching strategies do you recommend for the development of deeper learning in students?

Home → PBL Pathway to Deeper Learning In a Global Economy: MindQuest21sm → Unique Process and Results

Lawrence Mele from the PICCS Data Team reflects on what teachers can do to further deeper learning in the classroom.

«The Why, What, Where, and How of Deeper Learning in American Secondary Schools,» by Jal Mehta and Sarah Fine, Ed.M.»

First, he will work on completing a book, co-authored with doctoral candidate Sarah Fine, about the elusive quest for deeper learning in American high schools.

01, Ed.D.» 07, and his End of Average work No Gap in this Year, a story about the launch of Thinking Beyond Borders «The Why, What, Where, and How of Deeper Learning in American Secondary Schools,» by Jal Mehta and Sarah Fine, Ed.M.

All of these outcomes lead to deeper learning in a chosen task, and most importantly of all, stimulate independent learning.

Get practical ideas on encouraging deeper learning in the classroom from our series:

If we want deeper learning in a PBL, there needs to be more that just research — there needs to be inquiry.

It lays out eight math teaching practices to support deeper learning in the subject, including «facilitate meaningful mathematical discourse,» «pose...

Wide ranged efforts to promote deeper learning in the STEM subjects will also help ensure that all students are ready for college or for the workforce when they graduate from high school and that they are prepared to take their place as productive, full participants in society.

Many of these software programs use an AI technique called deep learning in which they are «trained» on massive amounts of conversation data so that they learn to interact with people.

Here are seven examples of where today you can begin harnessing AI and deep learning in your business life.

Some of us who have no deep learning in history, but yet a sense of history, found that assertive title — The New Theology — a little ominous.

Their work, published in the renowned scientific journal Cell, is one of the first applications of deep learning in biology.

From the book description you are able to see that the author spent time with eight different schools looking at the key ingredients to help students reach deep learning in their education journey.

Rich in exemplars, grounded in research about practice, and with the right balance about the surface and deep learning in math.

If we want our children to grow into the scientists, researchers, educators and entrepreneurs who will address our most pressing challenges, and if we want our nation to remain a global leader in innovation, we must ensure that all students have access to deep learning in STEM subjects and are taught by talented teachers knowledgeable in these fields.

«What we know about teaching and learning has evolved to provide a research - based alternative that can satisfy people on both sides of the debate: purposeful instruction that supports deep learning in a playful, engaging and fun way.»

Michael Fullan and colleagues (2018) added qualitative insights on the value of collective inquiry, putting teacher efficacy at the heart of their model of deep learning in schools.

The AI and Deep Learning Bundle is a comprehensive set of lessons and content that cover deep learning in a variety of programming languages, including popular languages like Python and Java.

Here's a primer (albeit one in need of an update) we did on deep learning in November.

how to encourage deep learning in STEM in a manner that is consistent with the Early Years Learning Framework

Not exact matches

This country has produced some of the leading researchers in the field of deep learning, but they inevitably seem to decamp elsewhere.

Deep learning is being touted as a way forward for climate science, medicine and genomics; it's already embedded in the way you search for something online, when you Google image search for, say, «cat,» and feline photos come up as a result of AI learning of what «cat» means.

Sutton wrote the book on the field of reinforcement learning, a technique which allows AI to teach itself what the best actions are using a reward - punishment system of its own, an area of deep learning that played a role in the success of DeepMind's AlphaGo project.

«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.

While Sutton is certainly not a household name, he is a major figure in deep learning, and a significant addition for a Canadian company nonetheless.

Banking also offers some tantalizing practical applications for deep - learning innovators, too; of the three possibilities listed by Agrafioti — personalized AI - driven customer service, real - time fraud prevention and risk management — it's the last one that might appeal most to those interested in industry disruption.

In its early days in the 1980s, deep learning's mostly Canadian pioneers — in particular, the trio of Geoffrey Hinton, Yoshua Bengio, and Yann LeCun, who worked largely out of an institute in Toronto — were dismissed as foolish apostateIn its early days in the 1980s, deep learning's mostly Canadian pioneers — in particular, the trio of Geoffrey Hinton, Yoshua Bengio, and Yann LeCun, who worked largely out of an institute in Toronto — were dismissed as foolish apostatein the 1980s, deep learning's mostly Canadian pioneers — in particular, the trio of Geoffrey Hinton, Yoshua Bengio, and Yann LeCun, who worked largely out of an institute in Toronto — were dismissed as foolish apostatein particular, the trio of Geoffrey Hinton, Yoshua Bengio, and Yann LeCun, who worked largely out of an institute in Toronto — were dismissed as foolish apostatein Toronto — were dismissed as foolish apostates.

«A lot of the development in deep learning came out of Canadian universities, yet the industry wasn't positioned well enough to capitalize on that innovation, so we've lost a lot of people to south of the border,» said Foteini Agrafioti, who leads RBC's deep - learning division.

In short, NMT is a deep learning technology that translates within context, not just one word at a time.

Banking, too, seems to have plenty to offer deep - learning experts — in particular, rich historical data sets from decades of business.

That a man of his experience and expertise chose Windward is humbling, and a testament to our team's success in marrying machine - learning with deep, maritime domain expertise.

Without a central hub for academics to branch out on their work in Canada, deep learning's southbound pioneers served as pied pipers, bringing their students with them, creating a brain drain.

Their passion for travel and e-commerce is evident: In the beginning, they dug deep and interviewed hundreds of travelers to learn everything about how and why they travel, and ultimately translated their insights into lightweight, yet durable pieces of luggage that are much more affordable than high - end brands.

In October 2012, when two of Hinton's students won that competition, it became clear to all that deep learning had arrived.

For its part, Google revealed in May that for over a year it had been secretly using its own tailor - made chips, called tensor processing units, or TPUs, to implement applications trained by deep learning.

In 2011, Microsoft introduced deep - learning technology into its commercial speech - recognition products, according to Lee.

Yes, in an area of AI called «deep learning.»

Deep learning, in that vision, could transform almost any industry.

(Tensors are arrays of numbers, like matrices, which are often multiplied against one another in deep - learning computations.)