AI Enhanced Personalised and Inclusive Learning

Volos, Greece

Participants receive a Certificate of Attendance from European Pathfinders upon completion of the course. Where applicable, Europass Mobility documentation may be supported in cooperation with the sending organisation and according to the requirements of the mobility.

This course is suitable for teachers across all educational levels, adult educators, special needs teachers, teaching assistants, school managers, vocational education professionals, student teachers and professionals interested in AI in school placement

The aim of this course is to equip educators with the knowledge, skills, and confidence to effectively integrate Artificial Intelligence (AI) into teaching and learning in order to support personalised, inclusive, and student-centred education. Participants will explore AI-powered tools and innovative pedagogical approaches that enable differentiated instruction, improve accessibility, enhance student engagement, and support learners with diverse educational needs. The course also aims to promote the ethical, responsible, and inclusive use of AI while empowering educators to design equitable learning experiences that foster academic success, digital competence, and lifelong learning.

The course covers the fundamentals of Artificial Intelligence in education, with a focus on its application to personalised and inclusive learning. Participants will explore AI-powered tools for lesson planning, differentiated instruction, adaptive learning, formative and summative assessment, feedback generation, accessibility, and learning analytics. The programme examines strategies for supporting learners with diverse educational needs, including students with disabilities, multilingual learners, and gifted students, through AI-enhanced teaching practices. Additional topics include prompt engineering for educators, the ethical and responsible use of AI, data privacy, digital inclusion, and the development of learner-centred instructional approaches. Through practical workshops, collaborative activities, and the design of classroom-ready resources, participants will gain the skills needed to integrate AI effectively into their everyday teaching practice.

The course is delivered through an interactive, learner-centred methodology that combines expert input with practical, hands-on learning. Participants engage in workshops, demonstrations of AI-powered educational tools, collaborative group activities, case studies, problem-based learning, and project-based tasks to explore the use of AI for personalised and inclusive education. Real classroom scenarios are used to develop strategies for differentiated instruction, adaptive assessment, and accessible learning. The methodology also includes peer learning, reflective discussions, micro-teaching activities, and study visits to schools or educational institutions successfully integrating AI into teaching and learning. Continuous feedback and guided reflection support participants in developing classroom-ready resources and action plans for the ethical and effective implementation of AI in their own educational settings.

• Introduction to Artificial Intelligence and its role in modern education.
• Exploring AI tools for lesson planning, content creation, and classroom management.
• Hands-on workshops using generative AI for developing teaching resources and learning materials.
• Designing personalised learning pathways using AI-powered adaptive learning platforms.
• Applying AI to support differentiated instruction for learners with diverse educational needs.
• Using AI to create accessible learning materials for students with disabilities and multilingual learners.
• AI-assisted formative and summative assessment, automated feedback, and learning analytics.
• Prompt engineering techniques for educators to maximise the effectiveness of AI tools.
• Ethical, responsible, and transparent use of AI in education, including data privacy and academic integrity.
• Collaborative design of AI-enhanced, inclusive lesson plans and classroom activities.
• Peer learning, group discussions, and presentation of classroom implementation ideas.
• Study visits to schools, educational institutions, or innovation centres using AI to support personalised and inclusive learning.
• Reflection sessions, exchange of best practices, and evaluation of AI applications in different educational contexts.
• Development of an individual action plan for integrating AI into participants' own teaching practice to promote inclusive, personalised, and student-centred learning.

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

• Understand the key concepts, opportunities, and limitations of Artificial Intelligence in education.
• Use AI-powered tools to design personalised, engaging, and inclusive learning experiences.
• Apply AI to support differentiated instruction for learners with diverse abilities, backgrounds, and educational needs.
• Create accessible teaching materials that promote equitable participation for all students.
• Use AI for lesson planning, content creation, assessment, feedback, and learning analytics.
• Develop effective prompts to maximise the educational potential of generative AI tools.
• Integrate AI ethically and responsibly, considering data privacy, transparency, academic integrity, and digital wellbeing.
• Critically evaluate AI tools and select those most appropriate for different educational contexts.
• Design learner-centred activities that foster creativity, critical thinking, collaboration, and digital competence.
• Adapt teaching practices using AI to enhance student engagement, motivation, and learning outcomes.
• Transfer good practices observed during workshops and study visits into their own educational settings.
• Develop a practical action plan for the sustainable integration of AI to support personalised and inclusive teaching and learning.