Sentences with phrase «deep learning involved»

Chances are that your example of deep learning involved trying to figure something out.

Deeper learning involves mastering core content while learning to think critically, collaborate, communicate, direct your own learning, and believe in your ability to learn.

Not exact matches

It involved learning anew my own expectations of myself as a mother, deeper understanding of why some might stop breastfeeding, and how I can trust my child and myself to figure out our way.

Since a PhD involves diving very deep into a topic, one might expect that learning very complicated stuff would be the hardest part.

So they turned to living, anesthetized mice, attached electrodes to their scalps, and directed 2000 and 2010 hertz signals so that they produced a low - frequency, 10 hertz stimulation at the hippocampus, a deep - brain structure involved in learning and memory.

Boyden said there is considerable interest in brain regions that are important for learning or addiction — learning gone wrong — with particular attention to small groups of neurons deep in the brain that manufacture dopamine, a chemical transmitter involved in regulating communication between neurons.

Mariette: I think it's — I think those are excellent points and I'm thinking about equity and the deep learning we've discussed, business parties be getting involved, knowledge transfer.

The cells were located in a part of the hippocampus — a pair of seahorse - shaped structures located deep within the brain and involved in memory and learning.

The method they used is known as deep learning, a type of machine learning that involves algorithms that can analyze data, recognize patterns, and make predictions.

So when he gets his students involved in applied learning projects, they put to use the mathematical concepts they've learned in the classroom and gain a deeper appreciation for the discipline.

Advantages of using these resources include: getting students more actively involved in their learning, developing deeper understanding, widening vocabulary and social interaction skills, improving presentation techniques in a safe environment, enhancing listening skills, developing student curiosity, questioning, reasoning, analysis, explaining, justifying, understanding, boosting their self - esteem, developing their confidence, giving them exposure and experience in being reflective, and cultivating a sense of joy of learning and a sense of purpose.

She sought ways to help deep learning happen — at any age, and in any subject matter — and to study closely what that learning involved.

KM: Inquiry involves, I guess, learning how to take on a question, or an issue, or a tension, a problem or a challenge and learning how to work through a process where, through that investigation, you come to a deeper understanding, or a mastery of skills, or a resolution of the problem.

Classroom collaboration involves students deeper in the learning process.

While there may be many definitions of this term, they generally involve a requirement that students create a product or performance demonstrating deeper learning — the ability to apply foundational knowledge and / or skills to complete a significant task — often to solve a real - world problem.

Agile Mind's founding research and development partner, the Charles A. Dana Center at The University of Texas at Austin, has been involved from inception in the Common Core State Standards for Mathematics (CCSSM), the Texas Essential Knowledge and Skills (TEKS), and other key college readiness standards — and in the deeper learning they represent.

Teaching maths for mastery involves employing approaches that help pupils to develop a deep and secure knowledge and understanding of mathematics at each stage of their learning, so that by the end of every school year or Key Stage, pupils will have acquired mastery of the mathematical facts and concepts they've been exposed to, equipping them to move on confidently and securely to more advanced material.

He has been involved with many National Board initiatives as an NBCT including: Coordinator of National Board Support for the Niles School District, Candidate Support Provider for the Illinois National Board Resource Center, member of the 3rd Edition Science Standards Committee, member of the Teacher Leader Competency Framework Committee, reviewer of the updated NBPTS Assessments and Entry Descriptions, and co-author of the Alignment of the National Board Standards and Deeper Learning Student Competencies.

Inquiry is an approach to learning that involves exploring the natural or material world in a way that leads to asking questions, making observations, planning investigations to develop explanations, rigorously testing those explanations, and discussing and debating results with others — all in the service of coming to a deeper understanding of scientific phenomena and scientific practices.

As we move down the learning - progressive continuum and our answer to Question One involves deeper levels of learning, we must move to a co-constructed approach to instruction, an approach where both teachers and students are collectively responsible for the learning.

Our approach to teaching and learning involves a deep commitment to ongoing teacher...

Involving students in a competition is more than just having them participate in a program in order to compete with others; it is a provision that can be made for gifted students to thoroughly follow a theme, go deeper into the content of a topic of interest, and learn valuable presentation skills that can be used over a lifetime.

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

This partnership involves schools from multiple countries across the globe and aims to address the key challenge of infusing deep learning to improve teaching and learning... ultimately to lead to more successful futures for all students.

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

Students learn what a dog fight is, explore why young fighters might get involved, and then dig deeper to compare the ideas and images of dog fighting that they might encounter through friends and media with the realities, both for people and pets.

However, despite involving your dog's deep - seated hunting instinct, fetching is also a learned response.

Students learn about the procedures, equipment requirements and hazards involved in deep air diving with two different decompression gases.

In simple terms, the process involves a deep dive into the needs of the particular user, understanding what technical approach might deliver a product that caters to those needs, creating a first version (1.0), shipping it to the users, learning from the users, and then building an even better version 2.0.

But in the real world, AI involves machine learning, deep learning, and many other programmable capabilities that we're just beginning to explore.

Samsung says that the advanced AI and deep learning features enable the Exynos 9810 to accurately recognize faces or objects from images, which should come in handy for search or categorizing as well as from depth sensing, which would involve scanning a user's face for facial recognition.

«The teens learn from the survivors with deep rewards to all involved.

Responsible for preparing lesson plan and activities to make students involved in deep religious learning

We found that good learning involves direct experience, especially deep immersion in a consequential activity.

«The next round of innovation will come from imaginative solutions involving everything from deep learning to hyperlocal data sets — the type of work perfect for crowdsourcing within a competitive environment,» says Stan Humphries, Zillow's chief analytics officer.

In the second round, the winning team must build an algorithm to predict the actual sale price itself, using innovative data sources and imaginative solutions — involving everything from deep learning to hyperlocal data sets — to engineer new features that will give their model an edge over other competitors.