Impact Assessment with Labour-Market Data
Showing what a credential is worth in the labour market.
Why this course
This mirrors ICoBC's Digital Credential Impact Assessment, which uses labour-market data such as LinkedIn Talent Insights. Teaching the method extends ICoBC's reach; the service stays available for those who want it done for them.
What you will be able to do
- Combine programme data with labour-market data to assess credential value.
- Choose comparison groups and methods that support honest conclusions.
- Interpret skills and job data, including the limits of platform data.
- Present findings to decision makers.
Modules
- Data sources
- Methods
- Interpreting labour-market data
- Reporting
- Ethics
Assessment
Impact assessment report on a real or provided dataset.
Badge evidence: Report.
Prerequisites: ICB-P15
Who it is for
- Companies and employers
- Education and providers
- Associations and policy
Framework alignment
Impact and evidence of value (IMPT, VRITE pillar Impact)
Related skills: Skills-based talent practice, Skills taxonomies and alignment. About the framework
Use in your organisation
In corporate training
Blended cohort module for L&D and corporate academy leads. Badge aligns to ICSF IMPT L4 (SFIA 5) 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 10 h notional workload (about 0.4 ECTS), indicative EQF 6 to 7, 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: 10 h (about 0.4 ECTS). Level: ICSF L4, EQF 6 to 7 (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-P15. |
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Elements following the Council Recommendation of 16 June 2022 on a European approach to micro-credentials.
Quality and AI
Quality focus: VRITE Impact.
AI dimension: AI skills extraction in job data and its error rates.
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.