Artificial Intelligence and Machine Learning are a part of our daily lives in so many forms! They are everywhere as translation support, spam filters, support engines, chatbots and personal helpers, and fraud detection systems. You can find them in our mobile apps, self-driving cars, and eCommerce platforms that propose things based on the previous action.
Nevertheless, their underlying rules and concepts are rarely exposed to most people. Kids aren’t any exception. Kids lack the possibility to explore AI processes and improve the knowledge of basic Machine Learning course concepts and essential construction blocks. Knowing the fundamental theories is becoming important for people of all ages, including children, who are growing up in an atmosphere that integrates AI and ML goods more than ever before.
In this post, I introduce eight resources you can use to teach your kids about the fundamental concepts in Machine Learning and AI.
1. Machine Learning for Kids
Machine Learning for Kids is an easy-to-use, free, web-based tool, developed by Dale Lane using APIs from IBM Watson to introduce kids to how machine learning operations are trained and used in real-world AI applications. It gives hands-on activities for training machine learning practices that acknowledge text, numbers, images, or sounds. It explains coding to children by adding these systems to instructional coding platforms like Scratch and App Inventor and helps children build projects and games. First made possible in 2017, the tool is now being used in volunteer-run coding groups, thousands of classrooms in schools, clubs, and by families around the globe. The tool gives an admin page for educators to manage access for their pupils.
2. Experiments with Google
Experiments with Google is an open-source program with full of good ideas on AI, AR, VR, Voice tests, Android, and even Chrome experiments. The tool enables us to run plenty of simple AI practices that make it easier to examine machine learning through drawings, language, music, pictures, and more. Teachable Machine, for example, enables kids to create machine learning forms without any coding skills. It helps you practice a computer to understand your images, sounds, & poses, then transport your model for your sites or apps. MixLab is an experiment that creates song using simple voice instructions. Voice Experiments make it simpler for developers to build new voice experiences that work on devices such as the Google Home, or browser, while AR Experiments enable them to experiment with augmented reality in interesting ways.
3. IBM’s Machine Learning for Kids
Machine Learning for Kids, created by IBM, is a different web-based, 1-4 hours long project kit that helps learners train simple machine-learning designs and create games and interactive projects. The kids can include a dataset, and the machine will build links that help it respond to questions that are not in the data. They can choose from over two dozen projects to fit your time and attendance age requirements. All that you require is a computer with internet.
Cognimates by MIT Media Lab is an open-source AI learning platform for parents and kids (7-10 years old) to learn how to program robots, create games, and train their own AI models. Produced to extend coding to AI education and literacy, Cognimates is based on the Scratch programming that gives a unique library of instruments and activities for AI study. Some actions are mediated by integrated intelligent agents that help learners structure learning and cooperate more effectively. The platform enables children to program and customizes embodied intelligent tools, such as Alexa and the smart robot Cozmo.
Scratch, produced by the MIT Media Lab for ages 8 to 16, but used by people of all ages, Scratch enables users to program their own interactive stories, animations, games, and share their works with the online community. It is a visual programming language and online community for children (free, block-based). Till now, more than 40 million outlines have been shared by over 40 million users in more than 150 different nations. The tool is possible in 40 languages.
eCraft2Learn allows children and non-expert programmers to create AI programs in Snap, visual programming conditions similar to Scratch. It is an ecosystem-based on digital invention and making technologies for designing computer-supported artifacts. It holds both formal and informal education. The ecosystem includes a five-stage pedagogical pattern that starts with student’s ideas, followed by a preparation stage that provides for iterative designs, trail and errors, brainstorming, reflections upon designs, and finally, sharing the finished project with the open community.
7. Apps for Good
Apps for Good is a not-for-profit, prepares learners for an ever-changing world, suggesting free creative tech courses. It produces resources for teaching technology materials that they make freely accessible to schools. It Machine Learning program comprises 12 sessions with a variety of additional materials like projects of student workbooks, presentations, work, lesson plans, and more.
YoungWonks is a coding and engineering plan for kids and teens. The program has five levels, and the fifth level includes machine learning and AI, teaching programs to build intelligent machines with OpenCV, SciPi and TensorFlow.
Except for Machine Learning nowadays, it is popular to study digital marketing training in Bangalore and digital marketing training in Chennai. The best way to teach kids is through hands-on experiences and making it fun. Good luck!
Cathy Dehart is a writer based in Austin, Texas. For more of her work, you can find at this link.
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