Dublin, Ireland: New AI-Driven Approaches to STEM/STEAM Education (An Erasmus KA1 Teachers' Training Course)

AML, CFT AND IFFs CONFERENCE PROGRAM

Erasmus KA1 Teachers' Course Title: New AI-Driven approaches to STEM/STEAM education 

Course Conducted by EMBT-Ireland Professional Training Unit, supported by IDESA-Europe

This cutting-edge course focuses on integrating AI-driven methodologies into STEM/STEAM education, empowering educators to enhance their teaching practices and engage students effectively. As AI continues to revolutionize various fields, its application in education is becoming crucial for preparing students for future challenges.

Designed for educators at different educational levels (primary, secondary, VET, etc.), this course aims to introduce innovative AI tools and approaches that can be seamlessly integrated into STEM/STEAM curricula. Participants will explore how AI can personalize learning, foster creativity, and improve problem-solving skills.

Through interactive sessions and hands-on projects, educators will gain practical expertise in applying AI to support STEM/STEAM disciplines. By the end of the course, participants will be equipped with strategies to inspire curiosity and deepen students' understanding of STEM/STEAM concepts.

Course Content:

• Understanding AI in STEM/STEAM: Explore the role of AI technologies in enhancing STEM/STEAM education.
• AI Tools for Scientific Inquiry: Use AI applications to conduct experiments, analyze data, and model scientific phenomena.
• Creative AI in the Arts: Integrate AI-driven creativity tools to support the artistic components of STEAM education.
• Personalized STEM Learning: Apply AI analytics to customize STEM experiences and address diverse learning needs.
• Project-Based Learning with AI: Develop interdisciplinary projects that leverage AI tools for innovative problem-solving.
• AI-enhanced Collaboration: Use AI platforms to facilitate collaboration and communication in STEM/STEAM projects.
• Ethical AI in STEM Education: Discuss the ethical implications and responsible use of AI in educational settings.
• Evaluation and Feedback: Implement AI-driven assessment tools to enhance learning outcomes and provide personalized feedback.

Learning Outcomes:

By the end of the course, participants will be able to:

1. Integrate AI tools and approaches into STEM/STEAM teaching to engage and inspire students.
2. Utilize AI-driven solutions to facilitate scientific inquiry, data analysis, and creative exploration.
3. Customize learning experiences in STEM/STEAM education using AI analytics for diverse student needs.
4. Design interdisciplinary projects that incorporate AI for creative problem-solving and collaboration.
5. Address ethical considerations in using AI within educational contexts and promote responsible practices.

Assessment and Certificates:

Assessment of performance will be through delegate-completed portfolio of work. The final course certification for successful completion is a college-issued “Course Certificate of Completion”, for each module studied. In addition, where applicable, delegates will receive relevant EuroPass certificates.