AI SHIELD
Written by Amplify for AI Shield Canada
Children today are surrounded by and brought up around AI-powered devices. Artificial intelligence is expected to fuel the global digital economy and skills required to flourish in future careers are going to be very different from what they are today.
A recent Gartner report predicts one in five workers will have some form of artificial intelligence as a co-worker. Forrester predicts by 2021, automation technology will account for the work of nearly 4.3 million humans worldwide. Children are naturally curious and they are always looking for the next big thing to learn, create, innovate & make their own ideas come to life.
More than ever now is the time for our children to explore and play with AI.
This website introduces kids from elementary to secondary school to the latest tech. Through live online classes like AI Explorers, Create with ChatGPT, Hello Tech!, Free Intro to Python Coding, and AI Creators, your child can explore the world of robots, AI, and machine learning. The classes cover practical applications like self-driving cars and face recognition.
As your child progresses, they'll work on story projects and create animations. These unique Create and Learn classes include hands-on machine learning activities, letting your child build an AI game. With an inquiry-based approach, kids not only learn "what" but also "how" and "why," making it easier to apply their knowledge to real-world problems.
SOURCE: Create&Learn
Kubrio, an interactive learning platform, provides clubs, bootcamps, and on-demand nanocourses for kids to explore and deepen their interests. It offers flexible, online, and globally connected education tailored to each child's needs.
SOURCE: KUBRIO
Kids learn in mini-pods, small online groups covering various subjects like math, coding, art, and more. It serves as an alternative to traditional schooling or an enhancement for homeschooling.
Kubrio fosters a global community of parents and teachers, connecting students in pods based on their time zones. Membership options vary, and future plans include 1:1 tutoring. Visit their website for details on memberships and services.
AI World School is an online learning platform tailored for K-12 students, emphasizing AI and coding. The platform, created by a team of experienced educators and technologists, aims to equip students with a solid foundation in STEM skills for future job readiness. Their self-paced courses, backed by patented methods, are designed to accelerate learning and enhance overall performance.
The AI Club emphasizes the importance of AI literacy for the next generation. It goes beyond understanding how AI works to recognizing its impact on various aspects of life, from decision-making to societal integration.
The objective is to equip kids for the future, ensuring they grasp AI skills. Led by a team with 5 PhDs, 200 patents, and over 50 years of industry experience, the leaders, who are also parents, bring their expertise to help children succeed in navigating the AI landscape.
In their efforts to provide accessible AI and coding education, AI World School collaborates with researchers, institutions, and companies worldwide. The platform strives to empower the next generation of inventors through both classroom and at-home learning, making AI education enjoyable, creative, collaborative, ethical, empathetic, inclusive, purposeful, and geared towards social good.
SOURCE: AI World School
SOURCE: MachineLearningForKids
Machine Learning for Kids (MLK) offers children a hands-on introduction to machine learning by allowing them to train systems to recognize text, numbers, images, or sounds. It seamlessly integrates into coding platforms like Scratch and App Inventor, enabling kids to craft projects and games using the machine learning models they've trained.
Since its inception in 2017, thousands of schools, code clubs, and families globally have embraced this web-based tool. It facilitates a fundamental understanding of machine learning, a technology ubiquitous in everyday applications such as spam filters, chatbots, and recommendation engines, with future implications in driving cars and medical diagnostics.
Tailored for classroom and coding group use, the tool is easily accessible without installations. Teachers can manage access through an admin page. Dale Lane developed it using IBM Watson APIs, and for further insights into its implementation, the source code is available on GitHub, complemented by relevant blog posts.
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