The basis for revising the textbook, and the clue that identifies a student
2019The past, rebuiltDeadline · Within 45 days before the learning feedback is released
Reconstruction of the past
The date of the source material is 2019-11-26. Only the stated texts of that period are used as background; the three situational premises and the later branching are invented. Actual outcomes later known, amended systems, or success stories are not used as facts in the initial input. This is a modern retrospective question construction, not a claim that people of that time made this decision.
The question to decide
Learning feedback used to revise the textbook can reveal a student in a small class even after the name is removed. Summarizing buries the difficulties of a few students, and restricting reviewers makes outside checking hard. How should the feedback be shared so that the basis for revision can be reviewed alongside it?
Who decidesFictional open textbook improvement meeting
What the AI judgments chose
Reading the judgment record…

The options
The order shown is not a ranking of preference.
The situation as it stands
The reconstructed teaching-materials team gathered student difficulties and teacher observations to make revisions, and other producers want to review those grounds. Decision deadline: within 45 days, before the learning feedback is published.
Reconstruction of the past as of 2019-11-26 · Publishing learning records that improve teaching materials can identify students in a small class. This fictional scenario was newly built using the principles of documents from that period. The institutions, people, figures, and events are not records of real decision-making.
- Premise 1The reconstructed teaching-materials team gathered student difficulties and teacher observations to make revisions, and other producers want to review those grounds.
- Premise 2Even with names removed, students can be identified by the conditions of a small class and a distinctive learning experience.
- Premise 3Grouping broadly into a summary reduces identification risk, but the important difficulties of a few students may disappear.
Where it holdsJoint review, privacy of learning, usefulness of materials
What is still unknown
- Unknown 1Combinations that identify an individual even without a name
- Unknown 2The needs of minority learners that disappear in a summary
- Unknown 3The extent to which learners knew about the next use of the feedback
Signals to decide again
- Once the observation, responsible person, and confirmation window needed to determine "combinations that identify an individual even without a name" are set, and new confirmation changes the trade-offs of the options, rejudge.
- Once the observation, responsible person, and confirmation window needed to determine "the needs of minority learners that disappear in a summary" are set, and new confirmation changes the trade-offs of the options, rejudge.
- Once the observation, responsible person, and confirmation window needed to determine "the extent to which learners knew about the next use of the feedback" are set, and new confirmation changes the trade-offs of the options, rejudge.
Where the paths partNot answers — paths that part from the same starting point
A local teacher reported that seeing only the description of the anonymized case was enough to identify which student it was.
A learner's difficulty that did not appear in the aggregated results was linked to an important error in the teaching materials.
Material and rootsThe frame, the values and the background documents
Which signals does a community that has heard repeated warnings stop believing?
An exploratory perspective chosen by the creator. Does not claim supernatural validity or the superiority of any particular option.The benefits and costs of the options accrue to different stakeholders. Which loss to accept remains undecided.
A subject for the decision-maker to argue over; the materials carry no conclusion of their own.The record of this question
- Question
FSP-TRUST-33· version 1.5.0- Content identity, SHA-256
3384dd40187a3924153c26c58e1fac6a409ebac0fd155bdaa80652100a2bdf37- Input files
- Question input JSON · What followed, JSON