With Alexa & Siri in our homes and cars able to get us out of trouble through assisted steering, our children are growing up in a world full of applied artificial intelligence. Therefore it’s becoming increasingly more important for students to understand how machine learning works and how the impact it will have on future careers.
Many jobs will need us to understand how AI works and so we can use technology to solve big problems. Providing students with an early introduction to these concepts can give them a huge advantage when using AI tools later in life.
Here are just a few examples of how AI is being used today:
For kids today there are plenty of fun activities and resources that can help them to learn all about AI and test out real world applications that demonstrate how machines can be set up to learn and develop intelligence.
A fantastic example of this in action is mBot 2.0 from Makeblock. The mBot 2.0 is a next-generation educational robot designed as an entry-level solution for lower secondary education and going all the way to upper secondary and beyond.
Using Makeblock's block based coding application mBlock students can use AI to program and control robots more intuitively and explore complex robotics concepts. The mBot 2.0 comes with fitted with an onboard camera that can be used to identify colours, and shapes. By using a machine learning programme the robots can learn about their environment and interact with their surroundings for example learning how to move past walls or pick up certain objects.
Learning how to program robots in a hands on-way and by working in teams to solve problems through trial and error students are able to develop 21st century skills that will become vital for future careers.
AI-powered robotics like the mBot 2.0 can be used to enhance project-based learning, which is a popular approach in robotics education. In project-based learning, students work on a specific project, such as building and programming a robot to navigate a maze or perform a specific task. By incorporating AI-powered techniques into these projects, students can develop more sophisticated and intelligent robots, and gain a deeper understanding of how AI and robotics work together.
In conclusion, AI-powered robotics is transforming the way we teach and learn about robots. By enabling more intuitive, sophisticated, and engaging robotics education, AI is helping students develop the skills and knowledge they need to succeed in a world that is increasingly shaped by robotics and automation. Whether through reinforcement learning, computer vision, or other AI techniques, the future of robotics education is bright and exciting thanks to AI.
If you’d like to learn more about how to use resources like the mBot 2.0 to introduce AI concepts to your students contact us and arrange a chat with a member of our STEAM team email@example.com.