Robotics & Coding

Completion evidence for this pathway is working code, circuit diagram, input–process–output tests, error log and project versions. Page count or time spent alone does not demonstrate competence.

The intended capstone is a small system that senses a real need, makes a decision, produces an output and has tested safety limits. It should connect the lessons in one artefact and retain failed tests as evidence.

No week closes with reading alone. Use one session for concept and example, a second for practice, and a short third session for testing and explanation. Do not accelerate when a prerequisite is missing.

The pathway's distinctive question is: In what sequence do you develop, test and document a problem from algorithm to a safe physical prototype? A first response may be a definition, but completion requires working code, circuit diagram, input–process–output tests, error log and project versions. If input, method, limits and review date are unclear, the result is not traceable even when it looks strong.

Start with two different activities among Algorithms, Arduino · Robotics & Coding, Introduction to Electronics, micro:bit · Robotics & Coding. In one, explain the concept in your own words; in the other, perform an application, measurement or user test. The two activities should not close with the same type of evidence. This distinction shows that Robotics & Coding has been tested through different forms of production.

Later connect Programming with Scratch, Sensors and Actuators, Introduction to Data and AI, Web Fundamentals to the capstone: A small system that senses a real need, makes a decision, produces an output and has tested safety limits Keep failed tests as well as successful ones. For every error, record conditions, expected result, actual result, possible cause and the single change made.

Check these traps separately: Copying code without understanding it; Changing a circuit while powered; Using sensor data without calibration; Treating a result video as complete evidence. Reading a trap is insufficient; find an example from your own work and state which evidence made the problem visible.

Return rule: At every new module, after a failed project test, when hardware changes and at each version milestone. Do not delete the previous record; add a date, changed tool or source, new evidence and the next mini trial. Progress is therefore tracked through the quality of explanation, application and correction—not the number of pages completed.