Learning Content 3 of 4
Challenges
i.Design
Create a photographic composition with a target product crop while keeping key content in the safe area.
In a future interactive activity, let the learner position a photographic subject inside the safe area of two product templates and see the resulting crop update. The challenge passes only when both templates meet their stated constraints.
A design challenge could show a product template above or beside a live preview. The learner moves or crops the photograph to protect the subject within safe areas. Success feedback should explain the specific constraint met; a failed attempt should show where the subject crossed the boundary and allow a retry without losing progress.
ii.File Preparation
Export two JPEG candidates from one master, compare artifacts at the final size, and document the accepted version.
A file-preparation challenge can expose source pixels, target inches, export profile, and quality controls, then show a working preview. Learners should be able to inspect the result and revise it before finishing.
File preparation should be actionable: choose a source, set a target size, view the effective density update, select a background and profile handling option, and compare a candidate export. The learner can adjust one control at a time and submit when the scenario requirements are satisfied. Exporting a real file need not be mandatory for learning success unless the lesson explicitly assesses export.
iii.Production
Simulate a maker intake: validate a JPEG against a named template and write a proof plan. Actual machine operation requires trained supervision and the machine manual.
A production-planning challenge should focus on the Goodiee workflow, not simulate unsafe machine controls. Ask the learner to accept or flag a handoff based on the selected maker's documented requirements and a proof preview.
Keep machine controls out of a general browser challenge unless an exact, safety-reviewed simulator exists. Instead, emulate a Goodiee maker intake: inspect the asset, match it to a product template, decide whether the handoff is complete, and request a proof when the method or material remains uncertain. This is interactive production reasoning without pretending the learner operated equipment.
iv.Troubleshooting
Repair a flawed handoff by identifying low resolution, wrong crop, unwanted opaque background, or a missing profile, then re-export from the source.
Present one flawed output and a few measurable clues. The learner should diagnose one cause, make a controlled change, and compare the before/after result. Avoid solving it through a paragraph answer or a long multiple-choice list.
Show a flawed handoff and let the learner interact with the evidence. They might reveal pixel dimensions, toggle the production crop, inspect a profile indicator, or compare the file in two viewers. Their final action should target the cause, such as re-exporting from the source or pausing for a material proof, rather than selecting every possible problem from a list.
