Operations & Administration (Control)
Quality and transparency page
ParaOperadorAdministración
The public page on which the institution shows how it safeguards course content: seven checking layers, live figures of the last 30 days and a correction promise.
Para qué#
AI can be wrong. Trust does not arise from a claim but from disclosure: how checking is done, with which figures — and what happens if something was wrong after all.
Cómo funciona#
Ruta de clicAddress /qualitaet
- 1If the feature is on, the page is at the address /qualitaet.
- 2“The 7 layers”: the route of a statement from the first question to the external check (Fig. 1).
Fig. 1 “The 7 layers”: the route of a statement from the first question to the external check. - 3“Live metrics (last 30 days)” with data date; they are aggregated daily (Fig. 2).
Fig. 2 The live metrics of the last 30 days with data date. - 4“Our promise”: whoever finds a factually wrong statement reports it — the correction comes within 24 hours, affected participants are notified.
- 5“Open audit log” leads to the public regulatory log.
Ajustes e interruptores#
- Activable por clientePor defecto: desactivadoMódulo: Lernplattform (siempre incluido)
- Default: off, until a tenant switches it on. Part of the module “Learning platform”.
How the page connects to the administration#
- Report via the page → “Quality reports” in the administration (New, Under review, Resolved, Won’t fix).
- Correction → “Errata” with a note and a reference to the fix.
- Change in the legal situation → “Watchdog” (content quality) → adjusted content in the public log.
Who may do what#
The page is public as soon as it is switched on; the operator can switch it on and off in the feature catalogue.
Consejos#
- Reports via this page land in the administration under “Quality reports” — target: answer within 24 hours.
- As long as there is no data yet, this is stated explicitly (“No data yet …”) instead of a zero.
Pruébalo tú mismo#
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Pruébalo tú mismohttps://kurs.balzac-publishers.com/g-uds-demo/qualitaet
Funciones relacionadas#
- Fact check of the contentVerifiable statements in courses are checked against sources by two models — when new slides are generated and on a schedule across the whole inventory; every case is recorded in a file that cannot be retouched.
- Content quality, quality reports and errataDeviations between course content and the current legal situation with deadlines by severity, users' error reports on slides and the error triage from preview and player.
- AI on the platform — what it may and may not doAI writes suggestions, presents courses and answers questions — labelled, bound to sources and with fixed limits: it does not assess exam behaviour and decides nothing that a person must decide.
- Change log and regulatory watch“What's new?” publicly — plus a log of which official sources are monitored, when they were last checked and which content was adjusted afterwards.