Use short constructed responses, labeled diagrams, code comments, or voice notes as evidence of thought. Auto-grade what makes sense, then sample artifacts for richer feedback. When a team explains why a decoy failed, misunderstandings surface kindly, creating chances to reteach before misconceptions harden into brittle habits.
Collect only what helps learning: progress markers, hint usage, and time on tasks, not invasive screenshots or location data. Store information securely, offer opt-outs, and publish clear purposes. Aggregate trends guide instruction while individual autonomy remains intact, modeling ethical data stewardship students can carry into research and workplaces.