AI is everywhere today, shaping our lives from self-driving cars to virtual assistants and video game characters. But while many kids use AI tools like ChatGPT, few have the opportunity to learn how to create and train these systems.
Understanding Data Labelling in AI Education
Data labelling is a common method in AI education, where students categorize data (like tagging images or texts) to help train AI models. While data labelling is essential for AI development, it remains a passive task. Kids may assist in preparing data, but they do not actively engage in the core AI process—how data is analysed, broken down, and optimized to improve AI model performance. This is the real AI skill, which is not taught through data labelling.
Gaimes Lab: Teaching Kids to Build AI Models
At Gaimes Lab, we go beyond data labelling. Kids learn to build, train, and evaluate AI models within an engaging video game environment. Here’s why our approach is more impactful:
Active Learning
Kids actively shape how their AI models behave in different scenarios, training them to perform specific tasks. In contrast, data labelling only involves preparing data, without engaging in the model training process itself.
AI model behaviours being shaped by the AI training controls Engaging Game-Based Learning
We integrate AI lessons into video games, ensuring kids stay motivated and excited. They learn by directly interacting with AI, training models to solve challenges and play video games, making the learning process both fun and educational.
Our Jumpy Bots game is inspired by the famous Flappy Birds Game Understanding How AI Models Work
By choosing how AI models perceive their environment and the actions they can take, kids gain hands-on experience with the underlying mechanics of AI, helping them understand how models make decisions and improve over time.
Learning how AI self-driving cars see their environment
Conclusion
To find out how your child can start learning to build and train AI models, visit the Gaimes Lab website today. Give them the opportunity to engage with AI in a fun, interactive way and equip them with the skills for an AI-driven future.
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