The document discusses Digital Education Action Plan (DEAP), which is an InnoEnergy project aimed at addressing skills gaps in the sustainable energy industry through adaptive learning paths and artificial intelligence. DEAP will use AI to mine data from industry reports and engineer CVs to identify needed future skills and match engineers to learning opportunities. It aims to offer personalized, adaptive online courses and certifications through a reusable learning elements repository. The goal is to help engineers progress their careers and for energy companies to find qualified candidates.

1. Digital Education Action Plan (DEAP)
Learning focus
Inge de Waard @Ignatia 7 March ’19 UNESCO, Paris

2. www.innoenergy.com
Digital Education Action Plan (DEAP) = Skills 3.0 project
2
AI in HR: data mining
emerging
skills/competencies of
the Sustainable Energy
industry (e.g. roadmaps)
AI in Education:
matching the
skills/competencies gap
and address it using
adaptive learning paths
Skills gap

3. www.innoenergy.com 3
Digital Education Action Plan: Why? Stay Future Proof
InnoEnergy wants to play a pivotal learning role, and offer the best energy and
innovation professional courses for business people/engineers
101 course Energy Introduction
https://mini-course.ise.innoenergy.com/

4. www.innoenergy.com 4Wind
Wind
Solar
Solar
storage
Storage Digital
ization

5. 5www.innoenergy.com 5
Future engineering skills
& competencies
Personalised learning
paths (adaptive learning)

6. 6www.innoenergy.com 6
Future engineering skills
& competencies
AI (TechWolf)
data mining industry reports, roadmaps…
(looking for future job needs)
Personalised learning
paths (adaptive learning)
(Re)using stackable learning elements
(in IE repository)
Automating content/assessment creation

7. 7www.innoenergy.com 7
Future engineering skills
& competencies
AI (TechWolf)
data mining industry reports, roadmaps…
(looking for future job needs)
AI analysing CVs of engineers (see what
skills/competencies they lack for the
emerging jobs)
Personalised learning
paths (adaptive learning)
(Re)using stackable learning elements
(in IE repository)
Automating content/assessment creation
Adaptive learning solutions, to prepare
engineers for career progression
(certification, stackable learning…)

8. www.innoenergy.com
AI and risks to inclusivity
The AI is (currently) fed with European Industry reports, and screening European CV’s.
 It starts to recognize the engineers who fit the profiles of the emerging skills gap
 BUT! If a resume with equal competencies/skills but different use of concepts is used =>
those profiles do not rank as high in the Mix and Match outcomes (profile matching)
 Actively welcoming CVs from engineers educated around the globe, to ensure a more
balanced matching of the skills gap.
8

9. 9www.innoenergy.com
In short:
9
Adaptive Learning paths (partially automated)
AI
screening
engineers
CV’s
AI data
mining
for job
needs
Industry reports, roadmaps…
welcomed!
Engineers (CV’s) welcomed! To
ensure inclusivity for global
engineers.

10. www.innoenergy.com
InnoEnergy is supported by the EIT,
a body of the European Union
Inge de Waard
Inge.deWaard@innoenergy.com
@Ignatia
+32 479 78 98 37

11. www.innoenergy.com 11
We increase the value of our Learning Portfolio, fitting the demands of the Industry
Increase (re)usability of course elements (cost reduction on course production)
Offering adaptable learning paths for in-company training (with certification)
It offers a Career Progression track with certification for learners (micro-credits)
Energy companies can invite successful learners for interviews (real vacancies)
The benefits of the DEAP project for InnoEnergy ?