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WP3-A2 Targeted Learning Paths content development

AI IN ADU

AI FOR LIFELONG LEARNING

START

© 2025, "AIinADU" Project. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Project number: 2023-1-DE02-KA220-ADU-000155302

TOPICS

AI-Powered Personalized learning

What is Personalized Learning with AI?

How Does It Work?

Benefits and Limitations

AI for skill development and upskilling

Why Skills Matter in Lifelong Learning?

How AI Identifies and Builds Skills?

Explore the tools

Ethical consideration and ai in education

Why Ethics Matter in AI Education?

Best practices for responsible AI Use

AI-Powered PersonaliZed learning

Discover how AI creates personalized learning paths that adapt to your needs, pace, and progress. Learn how intelligent systems support autonomy and motivation in education.

What is Personalized Learning with AI?

  • AI tailors learning content to match your pace, preferences, and progress.
  • Adaptive learning systems respond in real time to how you perform.
  • Intelligent tutoring systems simulate one-on-one instruction.

How does it work?

Learner input

Pattern recognition

Data processing

Personalised recommendation

  • Your clicks, quiz scores, and time spent tell AI how you're doing.
  • The system recommends exercises, videos, or topics you need most.
  • Algorithms analyze what works best for you — not the average learner.

What would you recommend to Maria, John and Aisha?

Aisha

Maria

John

Practice grammar quizzes with instant feedback and watch short rule-explainer videos.

Switch to podcast-style lessons and interactive diagrams.

Use spaced repetition flashcards and personalized word games.

Prefers audio, visual learner

Fast reader, struggles with grammar

Forgets vocabulary easily

VS

Benefits

Limitations

  • May reinforce learning gaps if poorly tuned
  • Custom pace & content
  • Boosts engagement
  • Data tracking privacy concerns
  • Promotes learner autonomy
  • Needs good tech infrastructure

Try it yourself!

“Meet Emma – Help her learn smarter.” Emma is a language learner who struggles with listening but excels in vocabulary. Choose the best AI-based study plan for Emma from 3 options. System gives feedback for each.

Reflect & Share

“How do you learn best?”

AI for skill development and upskilling

Explore how AI tools identify your skill gaps, recommend learning paths, and support your career growth. Stay relevant in a fast-changing job market.

Why Skills matter in lifelong learning

The future of work is skills-based - AI helps you stay relevant

  • Skills, not degrees, are increasingly valued by employers.
  • AI can identify your gaps and recommend what to learn next.
  • Learning is no longer linear — it's dynamic, data-driven, and ongoing.

NOW

THEN

VS

how ai identifies and builds skills

  • Skill Gap Detection: AI compares your current skills with job requirements.
  • Personalized Learning Paths: Courses & modules adjusted to your level.
  • Progress Analytics: Data dashboards show growth & stagnation.

What does a Smart Path look like?

What can a Dashboard tell me?

What's a Skill Gap?

Explore the tools

Combines AI with labor market data to create career-specific learning paths.

Suggests personalized courses based on your professional role, skills, and industry trends.

AI suggests course bundles based on what your team or role is learning.

AI career assistant that helps learners reskill based on their goals and background.

Uses AI to personalize language learning by adapting to your errors and response speed.

Khanmigo is an AI-powered guide that helps explain math and science problems interactively.

10

Choose your upskilling path

Help Leo grow his career

Leo is a customer service agent. He wants to become a digital marketer but has limited time and no formal degree.

11

reflection & action plan

Identify your goals and take the next step!

12

Ethical considerationsand ai in education

Understand the ethical risks of AI in education, including bias, privacy, and fairness. Learn how to use AI responsibly and advocate for inclusive practices.

13

Why ethics matter in ai education

AI in education is powerful – and power requires responsibility.

  • AI influences what students learn and how they’re assessed.
  • Without ethical guidelines, algorithms can cause unfair outcomes.
  • Key issues: bias, transparency, data privacy, accessibility.

14

What can go wrong?

Spot the ethical issue

Bias

Accessibility

Transparency

Privacy

The system penalizes language learners unfairly.

Ethical AI should include all learners.

Students deserve to know how decisions are made.

Users should have control over how their personal learning data is collected, used, and shared.

An AI app marks all essays from ESL students lower due to grammar mistakes, even if the arguments are strong.

A dyslexic student struggles because the AI platform has no screen reader compability.

A school uses a learning analytics tool but doesn't tell students how their data is being used.

A language learning app automatically connects students’ activity data to their social media without permission.

15

Best practices for responsible AI Use

How to use AI ethically in education

🤝 Human Oversight “Never let AI replace teachers – always review automated decisions.”

🧼 Transparency “Make sure learners know how the system works and what data is used.”

🛑 Bias Detection “Regularly test AI for bias – especially with diverse learners.”

🗝️ Consent & Privacy “Respect data privacy and give users control over what’s shared.”

16

Can you make the ethical choice?

17

Your ethical stance

Where do you stand?

18

What did you learn?

🧠 AI-Powered Personalized Learning
  • AI creates tailored learning experiences based on your pace, progress, and needs.
  • Tools like intelligent tutors and dashboards help learners stay engaged and autonomous.
🚀 AI for Skill Development and Upskilling
  • AI identifies skill gaps and recommends learning paths aligned with career goals.
  • Platforms support continuous growth, tracking, and smart reskilling.
⚖️ Ethical Considerations and AI in Education
  • Responsible use of AI means addressing bias, privacy, transparency, and inclusion.
  • Educators and learners share the responsibility to use AI ethically.

19

Final quiz

21

Final quiz

20

Final quiz

22

Final quiz

23

Final quiz

24

THANK you!

© 2025, "AIinADU" Project. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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