Effective and Efficient Use of Artificial Intelligence Tools in Vocational Education
Face to Face Course-
Category
Artificial Intelligence
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Duration
6 Days
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Fee
From: 480 Euro
About Course
Participants will gain skills in AI-supported teaching techniques, using AI in student projects, and effective lesson planning. Basic computer literacy is sufficient; programming experience is not required.
Artificial intelligence offers personalized learning experiences in education, reduces teachers’ workload, and enhances students’ creativity. This course will provide hands-on training for teachers on how to effectively use AI in their lessons.
Course Locations
- Munich
Course Dates
| 27.04.2026 | 02.05.2026 | Open to enrollments |
| 25.05.2026 | 30.05.2026 | Open to enrollments |
| 01.06.2026 | 06.06.2026 | Open to enrollments |
| 22.06.2026 | 27.06.2026 | Open to enrollments |
Training Dates and Locations
Check whether your application has been approved by applying on one of the specified dates. Please be aware that the training requires a certain minimum number of participants to be approved. If the required number is not reached, we will contact you and offer alternative options.
Learning Outcomes
- Defines applications of AI in education.
- Explores AI tools usable in student projects.
- Integrates AI into lesson plans.
- Uses automatic assessment and feedback tools.
- Guides students on AI ethics and responsible use.
- Develops AI-supported interactive learning materials.
Daily Program
1. Day: Introduction to AI and Its Role in Education- Course introduction and expectation sharing
- What is AI? How is it used in education?
- Overview of basic AI tools for teachers
- Example lesson applications and success stories
2. Day: AI in Lesson Planning and Content Development
- AI-supported lesson plan creation (ChatGPT, MagicSchool AI etc.)
- Automatic quiz and assignment creation tools
- AI-based personalized learning recommendation systems
- Practice: Preparing an AI-supported lesson plan
3. Day: Use of AI in Student Projects
- Use of AI in student research projects
- Visual and text-based AI tools (Canva AI, DALL·E, Gemini)
- Simple machine learning projects (Google Teachable Machine)
- Practice: Developing student project ideas
4. Day: Automatic Assessment and Feedback Tools
- AI-based automatic grading and feedback (Gradescope, Turnitin)
- AI tools for student performance analysis
- AI-supported speaking and writing practice in language learning
- Practice: Creating automatic feedback with AI
5. Day: AI Ethics and Responsible Use
- Teaching AI ethics to students
- Avoiding plagiarism and academic integrity
- Limitations and risks of AI in education
- Discussion: Future role of AI in education
6. Day: Course Closure and Project Presentations
- Presentation of AI-supported lesson plans by participants
- Course evaluation and feedback
- Certificate distribution
- Cultural trip or free activities
Reminding
- Participants who attend at least 80% of the course will receive a Certificate of Attendance on Friday or Saturday.
- Training sessions are scheduled for either the morning or afternoon.
- It is important to bring your own laptop.
- Any changes during the content week are subject to the trainers planning.
- Elemantary English (A2) required
- Requests from participants must be submitted to the training center at least 4 weeks in advance.
- Please plan your cultural activities outside of the training hours. If you participate in a cultural activity during training time due to unavoidable reasons, please note that no make-up sessions will be provided.
- The training has been adapted according to Erasmus+ budgets.
Fees and Funding
| Price | 480 Euro |
| P.S. | If you register less than 6 weeks before the course start date, a late registration fee of 60 Euro will apply. |
