European Learning Model and European Digital Credentials
The European way to describe and issue learning achievements.
Why this course
The ELM is the European semantic model for learning achievements, and the DC4EU pilot used it as the data model for education credentials in wallets. European education providers will meet both Open Badges and the ELM; knowing how to map between them avoids double work.
What you will be able to do
- Describe the European Learning Model and how it structures learning achievements.
- Issue a sample European Digital Credential for Learning with the Commission's tools.
- Map an Open Badges credential to the ELM and identify gaps.
- Explain the role of the ELM in wallet-based education credentials.
Modules
- The ELM in brief
- The EDC tools
- Mapping between models
- Toward wallet-based education credentials
Assessment
Issue a sample European Digital Credential and submit an Open Badges 3.0 to ELM mapping table.
Badge evidence: Sample credential; mapping table.
Prerequisites: ICB-P07
Who it is for
- Education and providers
- Associations and policy
Framework alignment
Standards and interoperability (STND, VRITE pillar Trustworthiness)
Related skills: Skills taxonomies and alignment, Digital identity and wallets. About the framework
Use in your organisation
In corporate training
Blended cohort module for staff in company academies. Badge aligns to ICSF STND L3 (SFIA 4) 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 6 h notional workload (about 0.2 ECTS), indicative EQF 5 to 6, assessed by assessed practical task with rubric. Stand-alone or elective unit.
EU micro-credential elements
| Awarding body | ICoBC e.V. or licensed issuer. Learning outcomes: see column. Notional workload: 6 h (about 0.2 ECTS). Level: ICSF L3, EQF 5 to 6 (indicative). Type of assessment: assessed practical task with rubric. Form of participation: Blended: online self-study and facilitated cohort sessions. Type of quality assurance: ICoBC internal QA against VRITE. Prerequisites: ICB-P07. |
|---|
Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.
Quality and AI
Quality focus: VRITE Trustworthiness and Value.
AI dimension: General rules only.
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.