Students explore conditions, processes, and causes of phenomena by building hands-on models such as billboard transformation, noise pollution detection, attacking robots, warning lines, etc.

Through model construction, students propose research ideas from multiple perspectives and actively seek solutions to real problems.

The learning process enhances students’ innovative thinking, creativity, and problem-solving abilities.

Students use a variety of sensors and components, including sound sensors, ultrasonic sensors, light sensors, pressure sensors, infrared distance sensors, servos, and LED modules.

Simple ideas are transformed into real, working models, strengthening practical and engineering skills.

Students apply coding and programming to extend functions and improve model performance.

The projects are closely connected to real-life applications, helping students understand practical uses of AI and automation.

The teaching kit supports 17 themed courses designed for the AI Transformer Workshop.