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STEMMINGEIT Higher Education Initiative project · 2026–2028
STEMMINGFrom STEM knowledge to deep-tech action.

The STEMMING training component

A clear learning journey supported by a rigorous shared framework.

Explore four connected pillars and eight stackable mini-credentials. Each programme publishes its outcomes, learning workload, ECTS credits, assessment and support routes.

4public pillars
8mini-credentials
10structured hours
1assessment decision

The learner journey

Choose, learn, demonstrate and apply.

The journey connects clear discovery, active learning, assessment evidence and opportunities to apply what you have learned.

01

Choose with context

Compare the outcome, target group, level, workload, prerequisites, assessment and current cohort status.

02

Learn actively

Use concise explainers, tutorials, notebooks, simulations, scenarios, challenge work and guided self-study.

03

Demonstrate competence

Complete an auditable quiz, notebook, design task, report, scenario decision, pitch or project artefact.

04

Apply the evidence

Use approved evidence in an existing course, challenge, staff-development offer, internship or venture pathway where available.

What every mini-credential must define

A common quality profile

Every mini-credential follows a shared profile so that outcomes, workload, assessment, support and recognition conditions can be compared clearly across the consortium.

Learning outcomes

Four to six learner-centred outcomes mapped to technical, digital, green, entrepreneurship and transversal competence areas where relevant.

Workload

The workload includes learning content, practice, reflection and assessment. The programme page shows its current ECTS value and assessment requirements.

Assessment blueprint

Evidence type, criteria, pass threshold, permitted AI use, feedback, resubmission, moderation and appeal route.

Inclusive delivery

Accessible files and interactions, flexible participation modes, inclusive examples and a human route for reasonable support needs.

Responsible AI

AI may explain, coach, triage and provide formative feedback. High-stakes decisions remain under qualified human oversight.

Credential evidence

Each cohort states its issuer, learning outcomes, assessment evidence, credential metadata and validity conditions before applications open.

The learning offer

Four pillars and eight mini-credentials

STEMMING is organised into four connected pillars, each with two stackable mini-credentials. Entrepreneurship is both a dedicated pillar and a practice embedded across technical learning.

Agentic AIUse and build AI-assisted STEM workflows responsibly.
2 mini-credentials
Smart Green & SolarWork with smart PV, energy data and digital-twin challenges.
2 mini-credentials
Quantum Trust & SecurityApply trusted and quantum-ready infrastructure concepts.
2 mini-credentials
Venture & EntrepreneurshipTurn technical learning into value, employability and venture evidence.
2 mini-credentials

Green STEM Educational Agent Lab

AI assistance with visible limits and human escalation.

The project plans curriculum-aware virtual tutors, learning and venture coaching, ticketing and expert escalation. The portal connects participants to reviewed guidance, request tracking and the learning routes published for each cohort. AI-assisted support is designed with human supervision and clear escalation.

Use the human support route
AI layerExplain · practise · recommend · triage
→
Human layerReview · decide · moderate · support

Recognition and certification

Recognition you can evaluate before you enrol.

Each published cohort identifies the delivering institution, workload, assessment, issuer, fee and eligibility. Local credit or professional recognition is shown only where it has been formally confirmed; mentoring, internships and venture support are presented as separate pathways with their own capacity and selection conditions.

Ask a recognition question

Before you commit

Clear answers to important questions

Each cohort publishes its own eligibility, recognition and opportunity conditions so that you can decide with confidence.

See all FAQs and support
What is STEMMING?

STEMMING is a European higher-education initiative developing short, assessed learning across Agentic AI, smart green and solar systems, quantum trust and security, and venture creation.

Who is the training for?

The main audiences are BSc, MSc and PhD learners, academic staff, professional university staff and selected ecosystem participants. Each cohort page confirms its own level, prerequisites and local eligibility.

How is the offer organised?

The public architecture contains four connected pillars and eight stackable mini-credentials. Local courses, challenge weeks and staff-development offers can implement those credentials in different settings.

How much time does a credential require?

The standard MC workload is 10 hours, including learning content, practice, reflection and assessment. Learn at your own pace. Individual programme pages show any variation.

What evidence will I produce?

Depending on the credential, evidence may include a quiz, notebook, design worksheet, scenario decision, short report, pitch or project artifact. The course page states the assessment before enrolment.

Will I receive a certificate or credit?

Successfully completing one MC earns 0.5 ECTS; two at this value earn 1 ECTS. Where a final examination is used, its default pass mark is 60%. Your programme shows whether completion uses lesson quizzes or a final examination and its current thresholds. Earned credits appear in My STEMMING.

Build what comes next

Choose one mini-credential. Make one next step visible.

Compare the mini-credentials, choose the outcome that fits your goals and follow the confirmed cohort route when you are ready.

Reviewed project answersSTEMMING portal guideFind published project information and move to human support when a local decision is needed.

Ask about workload, assessment, certificates, AI support, cohorts or opportunities. The guide points to published project answers and directs you to the right team when a local decision is needed.

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Reviewed answer

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