Challenges and opportunities for Artificial Intelligence in education Mobile Learning Week. Paris 2019

1. Education policy and the challenges of
Artificial Intelligence:
Does anyone know the way ahead?

2. Artificial Intelligence:
a booming technological domain
AI definition considering different dimensions
Thinking
Humanly
Acting
Humanly
Thinking
Rationally
Acting
Rationally
Knowledge-based AI Data-driven AI

3. Policy Domains
1. Personalisation
for better
learning
2. Data analytics
in EMIS
Applying
AI to
Education
3. Curriculum
reform
4. AI-capable
workforce
Preparing
learners
for AI

4. Leveraging AI towards improving
learning
• Access to education
• Collaborative environments
• Lifelong learning
• Intelligent tutoring systems
Personalisation and better
learning outcomes
• Dashboards, predictive algorithms
• Transforming EMIS into LMS
AI-enhanced Education Management
Information System (EMIS)
Help
China,Uruguay,Brazil,
SouthAfrica,Kenya
UnitedArabEmirates,
Kenya,Bhutan,
Kyrgyzstan,Chile

5. Preparing learners to thrive in an
AI-saturated future
• 21st Century Skills
• Computational thinking
A new curriculum for a digital
and AI-powered world
• Higher Education
• TVET
Strengthening AI capacities through
post-basic education and trainingEuropeanUnion,United
Kingdom,Estonia,Argentina,
SingaporeandMalaysia
France,SouthKorea
andChina

6. The Six challenges of introducing
AI in education
2. Ensure inclusion
and equity in AI for
education
3. Preparing teachers
for an AI-powered
education while
preparing AI to
understand education
4. Developing quality
and inclusive data
systems
5. Making Research on
AI in education
significant
6. Ethics and
transparency in data
collection, use and
dissemination
1. Developing a
comprehensive
public policy on AI for
development

7. UNESCO Education Sector1. Developing a comprehensive public policy on AI for development

8. UNESCO Education Sector2. Ensure inclusion and equity in AI for education

9. UNESCO Education Sector3. Preparing teachers for an AI-powered education while preparing AI to understand education

10. UNESCO Education Sector4. Developing quality and inclusive data systems

11. UNESCO Education Sector5. Making Research on AI in education significant

12. UNESCO Education Sector6. Ethics and transparency in data collection, use and dissemination

13. Need for increased international cooperation:
• Towards a shared framework por policy
development
• Convey peer-learning opportunities
• Opportunity for an Observatory on AI
Education
• Facilitate technical cooperation across
countries
Conclusions and way forward

14. Many thanks