Course Description
The course offers a valuable opportunity for educators eager to explore AI-enabled services designed to streamline their daily responsibilities. Beyond aiding in lesson planning and preparation, participants will delve into tools designed to enhance student support effectively. Harnessing the power of artificial intelligence, this course explores applications in adaptive learning organization, differentiation, and the development of personalized learning pathways. By tailoring these innovative practices to their unique contexts, educators can seamlessly integrate practical support into their teaching routine immediately after completing the course, elevating their daily teaching practices.
Course Objectives
- Introduction to AI in education: Provide a foundational understanding of artificial intelligence and its applications in the field of education.
- AI-enhanced lesson planning: Equip teachers with the skills to utilize AI tools for efficient and creative lesson planning tailored to individual student needs.
- Effective preparation assistance: Demonstrate how AI-enabled services can streamline and enhance the preparation process, saving time and improving overall teaching quality.
- Student support enhancement: Explore AI tools designed to offer personalized and effective support for students, fostering a more inclusive and adaptive learning environment.
- Adaptive learning organization: Enable educators to implement adaptive learning strategies using AI to address diverse student needs and learning styles.
- Differentiation techniques: Instruct on the use of AI to facilitate differentiated instruction, catering to the varying abilities and preferences of students.
- Individualized learning pathways: Guide teachers in creating and implementing AI-supported individualized learning pathways, promoting personalized student development.
- Customization of best practices: Empower educators to customize AI best practices to their specific teaching contexts, encouraging a seamless integration into their daily routines.
- Immediate practical application: Ensure that participants can apply acquired knowledge and skills immediately after the course, enhancing the practical relevance of the learning experience.
- Continuous professional development: Instill a mindset of continuous learning and adaptation to emerging AI technologies, fostering a community of educators committed to staying at the forefront of educational innovation.
Learning Outcomes
As result of the course the participants will develop the following competencies:
- Participants will gain a comprehensive understanding of the fundamental concepts of artificial intelligence and its relevance to the field of education..
- Participants will acquire the skills to leverage AI tools effectively for streamlined and innovative lesson planning, enhancing overall teaching efficiency.
- Participants will showcase the ability to employ AI tools to provide personalized and effective support, creating a more inclusive learning environment.
- Participants will implement adaptive learning strategies using AI to address diverse student needs and create a more responsive and flexible teaching approach.
- Participants will customize AI best practices to their specific teaching contexts, ensuring seamless integration and alignment with their unique educational environments.
- Participants will apply acquired knowledge and skills immediately, integrating AI-enhanced practices into their daily teaching routines for tangible and immediate impact.
- Participants will develop a commitment to continuous professional development, recognizing the importance of staying informed and adapting to emerging AI technologies in the dynamic field of education.
Planned Schedule
| Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | |
| Introduction to AI in education | Streamlining teaching preparation with AI | Adaptive learning and differentiation | Individualized learning pathways | Immediate practical application | |
| 1-2 | Foundations of AI in education:
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AI for efficient preparation:
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Adaptive learning organization:
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Designing individualized learning paths with AI:
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Immediate practical application:
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| 3-4 | AI-Enhanced lesson planning:
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Student support enhancement:
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Differentiation techniques with AI:
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Customization of AI best practices:
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Commitment to continuous learning:
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| 5 | Q&A and review:
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Q&A and review:
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Q&A and review:
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Q&A and review:
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Course recap, Q&A:
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Dates and Prices
| Language level: | English B1 and above* |
| Locations: | Budapest (Hungary), Eindhoven (Netherlands) |
| Time: | 9 AM to 2:30 PM daily (extracurricular activities outside of learning activities) |
| Dates: |
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| Price: | Budapest: €460 (5 days), Eindhoven: €510 (5 days) - including an extracurricular activity and a welcome lunch or dinner |
*The language of the course is English, linguistic aid may be provided for speakers of Hungarian with lower language abilities.
Conditions
The course complies with all rules as set in the Quality Standards of the Erasmus+ program. Courses are including an extracurricular cultural activity and a welcome lunch or dinner, and study groups are international. Note: should the latter condition not be met, participants will be informed 40 days in advance.
Payment facilities: participants with funding from the actual year’s project budget may ask to request a deposit of EUR 100 to guarantee their places on the course and pay the rest of the fees later.
It is possible to take part in 2 consecutive courses, please book both separately. A price reduction of 15% will be applied.
