| Level | Module 1 | Module 2 | Module 3 | Module 4 |
|---|---|---|---|---|
| Elementary Course | Junior Innovators: Discovering Robotics CT:Basic programming sequences Crt:Troubleshooting simple issues Rob:Basic movement & control AI:Introduce idea of data=examples IoT:Future potential as sensor data sources DT:Not central yet initial simulation in PythaverseDt:Simple solution design GC:Collaborative mini-project SDG alignment | Robo Creators: Mastering Motion and Sound CT:More complex control structures Crt:Evaluating different light/sound patterns Rob:Gripper buzzersLEDs integrationAI:Understanding that patterns = training data balanced inputs improve outcomesIoT:Potential sensor expansions Dt:Iterating multimedia project designs GC:Creativity & innovation for SDGs | Robo Detectives: Sensing and Reacting CT:Handling conditional logic based on sensor input Crt:Differentiating responses to varied obstacles Rob:Touch/ultrasonic sensor usage AI:Sensor inputs as 'data points,' balanced scenarios for fairer decisions IoT:Sensors seen as future connected data points Dt:Designing interactive robot responses GC:Practical applications for SDGs | Robo Innovators of the Future: Control & Navigation CT:Advanced logic refining code efficiencyCrt:Choosing optimal parameters analyzing data from PnoteRob:Line detection speed controlintegrated skill applicationAI:Using PAI builder to see how balanced datasets improve model predictions IoT:Envision connecting sensors to broader smart systems Dt:Integrating all learned skills into a final design GC:Sustainable tech solutions SDG focusDT:Virtual testing can inform design |