TREN

Educational publishing · High-volume, structured operations

AI System for Identifying Learning Resources for Currency Review

Links whose currency is uncertain are presented to the editor with the relevant course section and curriculum context. The system does not assume that an older source is no longer valid; the course editor decides whether to update and publish the material.

Representative educational publishing panel with a work queue, checks and an audit trail: learning resource currency queue — **Learning resource currency queue** Representative interface — contains no real data. The panel does not decide publication; content is not released without course editor approval.

The problem

When course modules, source URLs and the curriculum are held in different sources, staff must match fields manually before preparing a currency alert.

The course editor must compare every suggestion in the currency alert with the source record; incomplete or conflicting evidence must not replace the final decision.

If an older source that remains valid is not set aside for separate review, correct content could be changed unnecessarily; the record must not proceed without a human decision.

What we set out to improve

Time taken for the draft currency alert, with its supporting evidence, to reach the course editor for review
Outcomes of records sent for human review because an older source remains valid
Number of suggestions corrected after identifying a risk that correct content could be changed unnecessarily

How the system works

01 Retrieve the course module, source URL and curriculum from permitted sources
02 Verify field and document versions
03 Prepare the currency alert with supporting evidence
04 Check the exception: an older source remains valid
05 Have the course editor accept, correct or reject the suggestion
06 Decision gate: content update and publication
07 Record the decision and its source separately

Methods we used

A source-identified data schema for the course module, source URL and curriculum
A structure that separates deterministic rules from AI suggestions
A screen showing the currency alert alongside the supporting evidence
A human review queue for older sources that remain valid
A record identifier that prevents duplicate processing

Where people stay involved

The course editor compares the currency alert with the source record. The workflow stops when the exception applies: an older source remains valid. The course editor decides whether to update and publish the content.

Data and security

Only the necessary fields from the course module, source URL and curriculum should be processed. Role-based access should be applied, and unnecessary identity, health, financial and internal institutional data should not be sent to the model. Source access, the AI suggestion and the course editor's decision should be recorded separately.

Who this suits

A good fit

Teams that regularly prepare content currency alerts
Institutions that manually combine course module, source URL and curriculum information
Operations that keep the final decision with a person

Not a good fit

When source data is not up to date
When responsibility for the course editor is not defined
When AI suggestions would be acted on without review

Frequently asked questions

What data is used?

Course modules, source URLs and curriculum information are retrieved only from permitted sources. A field whose source and version cannot be established is not treated as confirmed information.

When does the process stop?

When an older source remains valid, the record is sent to the course editor for review. If supporting evidence is missing, no change is made to the target record.

Does AI make the final decision?

No. The course editor has authority over content updates and publication. Acceptance, correction and rejection are recorded as human decisions.

Project led by:DijitalPi

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