ICoBCAcademy

Using AI to Draft Outcomes, Rubrics and Metadata Responsibly

A documented method for AI-assisted credential design.

  • Ability
  • L2 Operate
  • Practitioner
  • Trustworthy AI in recognition
  • ICB-P19
Start the courseSource on GitHub

Why this course

Staff already use AI for this work; the open question is whether they use it well. A short applied course gives them a documented method and complements F07. High demand, low build cost.

What you will be able to do

  1. Use AI tools to draft outcomes, rubrics and descriptions from source material.
  2. Check drafts for accuracy, level, bias and invented claims.
  3. Keep an edit log that shows human judgement.
  4. Protect confidential and personal data when prompting.

Modules

  1. Good inputs
  2. Drafting
  3. Checking
  4. Documenting
  5. Data protection

Assessment

One credential specification produced with AI support plus the edit log, assessed against the P01 rubric and an AI use checklist.

Badge evidence: Specification; edit log.

Prerequisites: ICB-F07

Who it is for

  • Companies and employers
  • Education and providers
  • ICoBC quality network

Framework alignment

ICSFframeworkAIRCskillL2levelAstage

Trustworthy AI in recognition (AIRC, VRITE pillar Trustworthiness)

Related skills: Credential design, Assessment and evidence. About the framework

Use in your organisation

In corporate training

Self-paced + live module for L&D and corporate academy leads. Badge aligns to ICSF AIRC L2 (SFIA 3) and can be referenced in role profiles. Counts as skill evidence; competency on the job needs a V-series validation.

In education

Micro-credential of 4 h notional workload (about 0.2 ECTS), indicative EQF 4 to 5, assessed by assessed practical task with rubric. Stacks into pathway PW08.

EU micro-credential elements

Awarding body ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 4 h (about 0.2 ECTS). Level: ICSF L2, EQF 4 to 5 (indicative). Type of assessment: assessed practical task with rubric. Form of participation: Online, asynchronous with one live online session. Type of quality assurance: ICoBC internal QA against VRITE. Prerequisites: ICB-F07.

Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.

Part of these pathways

Quality and AI

Quality focus: VRITE Rigor and Trustworthiness.

AI dimension: Core topic of the course.

Improve this course

The course is open on GitHub in LiaScript format under CC BY 4.0. View the source or read how to suggest a change.