ED Surge

JUNE 13, 2022

In what other ways can we remove barriers to facilitate deep learning for all students? Accommodations and modifications For students with disabilities, accommodations such as text readers and adaptive technology help remove barriers and promote equity. We’ve seen how many of these technologies also serve mainstream users.

OER 221

OER Education Education Personalized Learning 221

Magic EdTech

JANUARY 30, 2020

Simulations as Learning Tools. Instructional simulations have the potential to engage students in deep learning. Deep learning empowers understanding as opposed to surface learning which deals with memorization. Today simulations are used in almost every discipline.

Learning 52

Learning Deep Learning EdTech Problem Solving 52

User Generated Education

FEBRUARY 26, 2017

As a preface to this post, my belief is that deep learning does not occur through sit and get. Deep learning occurs through experiential, authentic, interactive, collaborative instructional processes.

Deep Learning 62

Deep Learning Teaching Education Education 62

Educators Technology

OCTOBER 6, 2022

5 important critical thinking skills Critical thinking, as stated earlier, is an analytic framework that consists of several thinking skills some of which include: 1- Asking questions The ability to think critically starts with posing serious and deep questions regarding what is normatively considered valid and true knowledge.

Critical Thinking 348

Critical Thinking Argumentation Problem Solving Education 348

Futurum

SEPTEMBER 19, 2023

To tackle these challenges, deep-learning methods are being developed which can automatically learn and identify patterns from vast amounts of data.” These deep-learning algorithms aim to improve the accuracy, efficiency and personalisation of healthcare based on smart home sensor data.

Artificial Intelligence 52

Artificial Intelligence Computer Research Research 52

STEMe

MAY 26, 2022

This is a newly developed AI that uses machine learning and deep learning to mimic human text so well, you wouldn’t even know that a robot wrote it. While all of that is not a reality yet, we are taking a step in the right direction with GPT-3 (Generative Pre-trained Transformer 3).

Robotics 52

Robotics Artificial Intelligence STEM Deep Learning 52

Career in STEM

JANUARY 17, 2023

Music Machine Learning Engineer. A music machine-learning engineer uses machine-learning techniques to analyze, generate, and manipulate music. In this role, you can also generate new music, such as by training a model on a dataset of existing songs and having it compose new songs.

STEM 59

STEM Engineering Deep Learning Data analysis 59

Magic EdTech

APRIL 18, 2022

Usage data can help determine what kind of simulations suit different content types and engage learners in deep learning. How to design simulations in step with learning levels. Bloom’s taxonomy provides a reasonable way of organizing the learning experience so learners can build skills in progression.

Learning 97

Learning Education Education EdTech 97

Ask a Tech Teacher

FEBRUARY 18, 2015

that students have connected lessons to other learning and applied it to their lives. that students take responsibility for their learning by embracing deep learning. that lessons are scalable and dependent upon each child’s learning style. that students think creatively with their new information.

Curriculum 306

Curriculum Teaching Creativity Deep Learning 306

Magic EdTech

OCTOBER 7, 2022

Simulations unlike games have no end, so the student can continue to practice and learn as much as they’d like, whereas in games, when the game ends there is typically no way to go back and redo a specific portion or lesson. It brings learning to life where textbooks or traditional online learning often fall short.

Learning 52

Learning Critical Thinking Teaching Education 52

Ask a Tech Teacher

MARCH 24, 2015

Students use habits of mind like critical thinking, deep learning, and evidence-based decisions to decide on the right answers. The textbook is a resource , supplemented by a panoply of books, primary documents, online sites, experts, Skype chats, and anything else that supports the topic.

Critical Thinking 356

Critical Thinking Teaching Curriculum Schooling 356

Magic EdTech

AUGUST 20, 2019

Imagine if this level of passion and excitement can be diverted into learning!! Games have the potential to engage students in deep learning. Research has identified games as extremely powerful tools for modern-day teaching, learning, and assessments. You must have as a lot of people play digital games.

Learning 94

Learning Gamification EdTech Deep Learning 94

Magic EdTech

OCTOBER 16, 2018

4) Engagement and Deep Learning – In learning by doing, students engage deeply in an activity. This helps with deep learning and higher retention rates. By changing the variables in the simulation, students can change the pollution levels in the sea and see the subsequent changes.

Learning 40

Learning EdTech Deep Learning Student Engagement 40

Futurum

OCTOBER 4, 2022

Deepfake — manipulation of existing digital media (image, video and/or audio) – e.g., by swapping faces and changing voices – or creation of new media, typically using machine learning-based techniques such as deep learning.

Professor 52

Professor Science Sciences Computer Science 52

Futurum

DECEMBER 6, 2022

The accuracy of machine learning provides another limitation, though this is a rapidly advancing field. Recent progress in deep learning provides substantial potential benefits for neural networks, computer vision and BCI techniques,” says CT. Download the article. Reference [link]. Link to the activity sheet.

Computer 92

Computer Computer Science Science Sciences 92

Futurum

JULY 15, 2022

OFSTED doesn’t want schools to backtrack GCSE exam provision to Key Stage 3, it wants Key Stage 3 to be about deep learning and preparing learners for key stage 4. More than they feel empowered to use, I’d say. Having led a school, I understand the constraints.

Schooling 52

Schooling Education Education Economics 52

Futurum

FEBRUARY 2, 2023

Ben and Julia found that COASST participants improve their identification accuracy over time – a result of repeated and consistent identification practice and engagement with COASST staff who train and provide opportunities to learn.

Geography 98

Geography Science Sciences Social Sciences 98

Middle Web

AUGUST 31, 2023

In Changing Curriculum through Stories: Character Education for Ages 10-12 Marc Levitt shows how personal stories, folktales and fairytales can act as catalysts for reflection and deeper comprehension. Dr. Kevin D. Cordi finds his notes to teachers and students quite helpful.

Curriculum 62

Curriculum Education Education Deep Learning 62

STEMx

SEPTEMBER 17, 2018

Together they have developed 11 table-top displays that are linked to chemistry, data analytics, deep learning, the energy grid, cybersecurity, nuclear energy and the ocean environment. They are diverse role models in ethnicity, gender, age and research interests.

STEM 40

STEM Science Sciences Education 40

User Generated Education

NOVEMBER 14, 2015

“Curiosity’s most distinguishing characteristic is its open willingness to explore….” ( Cultivating Curiosity in Our Students as a Catalyst for Learning ). A recent research study found a connection between curiosity and deep learning: The study revealed three major findings. The future belongs to the curious.

Schooling 105

Schooling Education Education Learning 105

Middle Web

JULY 24, 2022

Want a fun way to turn student talk into deeper learning? Conversations for Deeper Learning first appeared on MiddleWeb. The post Try Cafe?

Learning 52

Learning Deep Learning 52

User Generated Education

FEBRUARY 5, 2016

Why is there one person standing in front of the room doing all of the talking with students sitting passively at uncomfortable desks when we know that active, social, and experiential learning promotes interest, engagement, and deep learning?

Education 66

Education Education Schooling Learning 66

Futurum

MAY 31, 2022

I also have knowledge of machine learning that helps me implement deep learning techniques for the prediction of buildings’ structural behaviour under wind loads. This enabled me to develop a novel analytical framework for the structural performance assessment of tall buildings under extreme wind loads.

Civil Engineering 98

Civil Engineering Aerospace Engineering Professor 98

Futurum

AUGUST 2, 2022

I had also developed an interest in modern computer vision applications using Deep Learning. This led to developing my thesis on securing the multimedia in edge devices using techniques that are extremely hard for a Deep Learning model to replicate and forge.

Computer Engineering 98

Computer Engineering Computer Engineering Artificial Intelligence 98

Stephen Wolfram

FEBRUARY 14, 2023

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few.

Computer 145

Computer Mathematics Construction Architecture 145

Stephen Wolfram

MARCH 15, 2023

But actual evolution seems more like deep learning with a large neural net—where one’s effectively operating in an extremely high-dimensional space where there’s typically always a “way to get there from here”, at least given enough time. And indeed simple models of evolution might give one the intuition that this would happen.

Computer 117

Computer Mathematics Biology Science 117

Stephen Wolfram

MAY 13, 2022

And although the details are more complicated, the whole notion of deep learning in neural nets can also be thought of as related. Meanwhile, the general methodology of searching the computational universe for useful programs is something that has continued to grow.

Science 63

Science Sciences Computer Physics 63