DETAILED PROGRAMME (DAY BY DAY)
Week 1: Foundations of AI in Education
Introduction to Artificial Intelligence
- Introduction to the course
- Icebreaking activities
- Definition and basic concepts of Artificial Intelligence
- Historical perspective and evolution of AI
- Current state of AI in education and the workplace
AI in Education
- Adaptive learning systems
- AI-driven personalized education
- Virtual tutors and intelligent tutoring systems
Case Studies and Best Practices
- Successful AI implementations in educational institutions
- Challenges and ethical considerations in AI education
- Debating the pros and cons of using AI-generated content in student assignments.
AI Tools
- Operation of Chat GPT-4. How Chat GPT-4 can be used in different areas
- Integrating chat GPT into language lessons
- AI tools for image creation (Canva AI)
- AI tools for Video creation (InVideo AI)
Workshop 1
- Creation of educational material with the help of artificial intelligence per teacher’s specialty
- Evaluation of the educational material produced
Company Visit 1: AI in Action
- Visit to a tech company or startup specializing in AI applications
- Interactions with professionals working on AI projects
Cultural Visits
Coffee breaks 10:30 – 11:00, and 15:30 – 16:00
Lunch 13.00 – 14.00
Week 2: AI in the Workplace
Exploring Advanced Techniques and Strategies in AI
- Free vs Paid Version for Chat GPT
- Chat GPT-4 Settings
- Chat GPT 4 Plugins for various applications (content analysis, marketing, web development, educational purposes, economy, etc.)
- Introduction to Perplexity.AI
Company Visit 2: AI in Vocational Fields
- Visit to a company relevant to the students’ vocational area utilizing AI
- Q & A session with professionals regarding AI integration
AI Ethics and Responsible AI Use
- Understanding bias and fairness in AI
- Ethical considerations in the workplace
- Responsible AI use and policies
- AI and Future Workplace Skills
– Reskilling and upskilling opportunities
– Developing a growth mindset in an AI-driven world
- Workshop
– Collaborative project work applying AI concepts to vocational scenarios
– Guidance and support from instructors and industry mentors
Final Assessment, Reflection & Closure
- Groups present their AI projects
- Peer and instructor feedback for improvement
- Course evaluation: Feedback, and discussion
- Awarding of the course Certificate of Attendance
Coffee breaks 10:30 – 11:00, and 15:30 – 16:00
Lunch 13.00 – 14.00
