A workflow for turning anonymized learner output into focused feedback and follow-up practice.
适合按步骤执行
按任务阶段推进，每一步都保留中间产物，方便复盘、复用和团队协作。
This workflow keeps feedback specific and privacy-aware: anonymize learner output, diagnose a small number of priority issues, and turn feedback into a next learning action.
Remove names, contact information, grades, and sensitive details before using AI assistance.
预期产出: A small anonymized sample set with task context.
Use the learner error feedback prompt or a rubric prompt to identify recurring errors and strengths.
预期产出: A short list of feedback priorities, not an exhaustive error inventory.
Generate teacher-reviewed feedback sentences for the whole class, groups, or individual anonymous patterns.
预期产出: Feedback wording that is specific, limited, and learner-facing.
Design one short task that lets learners immediately apply the feedback.
预期产出: A follow-up activity and evidence of whether the feedback helped.