Artificial Intelligence (AI) Tools for Meaningful Learning and Training

Our course is designed for teachers and educational staff who want to integrate Artificial Intelligence (AI) tools into their teaching and training practices to enhance meaningful learning. Participants will explore AI-driven applications and methodologies that optimize instruction, engagement, and assessment. Through hands-on activities and discussions, educators will learn how to leverage AI to create more personalized and efficient learning experiences while considering ethical implications.

Learning Outcomes

By the end of the course, participants will be able to:
▪ Understand the fundamental principles of AI in education and training.
▪ Evaluate different AI tools for instructional design, assessment, and engagement.
▪ Apply AI-powered solutions to enhance personalized learning experiences.
▪ Develop strategies to implement AI ethically and effectively in educational settings.
▪ Analyze case studies and real-world applications of AI in learning.

Programme

Day one: Participants arrival
▪ Orientation and information
▪ Networking activities

Day two: AI-Powered Learning Tools
▪ Definition and key concepts of AI in teaching and training
▪ Benefits and challenges of AI in educational settings
▪ Overview of AI applications in adaptive learning platforms
▪ Practical exercise: Exploring AI-powered learning tools for teachers and staff

Day three: AI for Personalized Learning 1
▪ Overview of AI applications in adaptive learning platforms
▪ AI in Learning Management Systems (LMS) for teachers and trainers
▪ Hands-on activity: Implementing AI personalization in a lesson plan or training program

Day four: AI for Personalized Learning 2
▪ Virtual tutors and chatbots for learner support
▪ Customizing learning experiences with AI recommendations
▪ Field trip: using AI in the city
▪ AI-driven feedback and assessment tools for teachers

Day five: Ethical Considerations and Challenges of AI in Education
▪ Data privacy and security concerns in schools and training institutions
▪ Bias in AI algorithms and its impact on education
▪ Responsible AI implementation in educational settings
▪ Group discussion: Ethical dilemmas in AI-driven teaching and staff training

Day six: Final Project
▪ Group project: Designing an AI-enhanced lesson or training experience

Day seven: Course Wrap-up
▪ Presentation of AI integration strategies for educators and trainers
▪ Course evaluation and feedback

Teaching Methodology:
▪ Interactive lectures and discussions
▪ Case studies and real-world examples
▪ Hands-on activities with AI tools
▪ Group projects and peer collaboration
▪ Practical assignments and AI tool exploration

Assessment and Certification:
▪ Participation in discussions and practical exercises
▪ AI tool implementation project
▪ Final presentation
▪ Certificate of completion for participants meeting the requirements

Certification
▪ All participants will receive a Certificate of Completion at the end of the course. Additionally, an Europass Mobility Certificate can be issued upon request.
▪ Our courses are developed and delivered in full compliance with the Quality Standards for courses under Key Action 1.
▪ We also provide support to participants in completing Learning Agreements and any other necessary documentation required by their organization.

Costs and Erasmus+ funds (The cost can be funded by Erasmus+ programme KA1 mobility of staff)

Course fee: 560 €

The amount includes preparation for the course, training, training materials and organizational costs, coffee breaks and a guided tour.

Accommodation and meals are not included.