The video is about project-based learning (PBL), which is described as a powerful way to learn new things and remember them for a long time. The video also provides an example of a shy 19-year-old student named Jane who wanted to move...

Project-Based Learning is a method that involves students in a long-term in-depth investigation of a real world challenge. Instead of raw memorization of facts or following instructions that present a smooth path to knowledge, students...

NSF-funded research expands on the Billion Oyster Project in New York Harbor, giving urban middle school students a hand in restoring oyster habitats



Description: Research consistently shows that children...

Michael is the head teacher of Wallenpaupack South Elementary School in Newfoundland, Pennsylvania and recipient of the Presidential Award for Excellence in Math and Science Teaching.



Having looked at neuroscience research,...

Jane Krauss is a teacher, author and consultant who does curriculum and program development designed to increase participation of girls and other underrepresented groups in computer science. She will gladly tell you why...

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal?

Sylvia works in schools around the world to bring the power of authentic learning into classrooms, particularly in Science, Technology, Engineering, and Math (STEM) subjects. Sylvia speaks, writes, and advocates for student-centered,...

Antonio Pérez Moreno is a Physics and Chemistry teacher at the Instituto de Educación Secundaria Ies Sierra Luna, Cádiz, Spain. Antonio began teaching support classes in primary and secondary school when he was studying Chemical Sciences...

Antonio Pérez Moreno is a Physics and Chemistry teacher at the Instituto de Educación Secundaria Ies Sierra Luna, Cádiz, Spain. Antonio began teaching support classes in primary and secondary school when he was studying Chemical Sciences...

Research consistently shows that children who have opportunities to actively investigate natural settings and engage in problem-based learning greatly benefit from the experiences. They gain skills, interests, knowledge, aspirations and...

Social Studies, English and Mathematics teacher Meghana Musunuri from Hyderabad, India, is an education futurist, philanthropist and a passionate and prolific entrepreneur. She is Founder & Chairperson of Fountainhead Global School &...

Social Studies, English and Mathematics teacher Meghana Musunuri from Hyderabad, India, is an education futurist, philanthropist and a passionate and prolific entrepreneur. She is Founder & Chairperson of Fountainhead Global School &...

This video explains linear regression in R.
r/>
This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...

This video explains machine learning use cases and types.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

This video introduces you to the Naive Bayes probability model.
<
br/>
This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data.<b<br/>r/>

Machine Learning: Part 2: Bayes Theorem and Naive Bayes

From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data.<b<br/>r/>

Machine Learning: Part 2: [Activity] Naive Bayes in Action

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal?

Learn how to calculate gravitational attraction between a point mass and a uniform rod using integration and Newton’s law of universal gravitation—essential for advanced physics students.

Computer science teachers from across the country tell you what excites them about teaching computer science.



A strong foundation in computer science--being able to apply foundational concepts, methods and tools--is...

In this video, we will cover unsupervised learning.
<
br/>
This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

This video lesson explains how to use line plots to solve problems and interpret data. It emphasizes the importance of organizing data and being accurate with spacing when creating line plots. The example used in the video involves a...