LS004: Worked examples and fade

Implementation steps

1. Define and annotate a high-quality model response.
2. Teach with think-aloud decision points.
3. Move to partially completed models.
4. Fade prompts in planned stages.
5. Close with independent attempt and feedback.

Classroom routines

• Show full model before independent work.
• Keep model visible during application.
• Highlight one quality criterion at a time.
• Use paired explanation before independent execution.
• Return to model when misconceptions appear.
• Archive model sequences for retrieval.
• Build a template bank for recurring task types (one per topic). Keep the template stable across lessons.
• Use 'compare to model' checks: students highlight one difference between theirs and the exemplar, then improve.
• Move from full model to partial model to 'write the missing step' and then to an independent attempt.

Adaptation guidance

• Use shorter model chunks for slow-processing learners.
• Separate concept and transcription demand.
• Use dual-coded model annotations.
• Increase guided repetitions before fade.
• Retain ambitious content with clearer structure.

Staff language prompts

• Watch where I decide the next step and why.
• Now complete this part with one prompt removed.
• Compare your method to the model before moving on.
• Start by matching your first step to the model, then complete the next step yourself.
• If you are stuck, return to the last correct step in the example rather than restarting the whole task.

Impact checks

• Track independent accuracy at each fade stage.
• Measure reduction in repeated procedural errors.
• Monitor completion rates for independent tasks.
• Check transfer into new contexts.
• Check whether students can explain why each step is chosen, not only reproduce the sequence.