AI Innovations in Education & School Leadership

101 AI Tools and Innovations for Teaching, Learning, and School Management Agenda

Course Overview

This intensive 6‑day professional development course is designed for teachers, school leaders, and education staff who want to understand, adopt, and responsibly implement Artificial Intelligence (AI) in education and school management.

The course provides a practical, hands‑on introduction to 101 AI tools, strategies, and innovations that support teaching, learning, assessment, inclusion, communication, administration, and institutional leadership. Participants explore how AI can improve educational quality, reduce workload, support wellbeing, and strengthen school innovation within the Erasmus+ framework.

The training combines pedagogical practice, leadership skills, ethical considerations, and real‑life school scenarios, ensuring immediate transfer into daily professional practice.

Learning Objectives

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

• Understand key AI concepts relevant to education and school leadership
• Use AI tools to support lesson planning, differentiation, assessment, and feedback
• Apply AI to school management, communication, and decision‑making
• Support inclusion, wellbeing, and accessibility using AI‑based solutions
• Address ethical, data protection, and responsible AI use in schools
• Design an AI integration plan tailored to their own educational institution

Target Group

• Primary, secondary, and vocational school teachers
• School leaders, directors, deputies, and coordinators
• Erasmus+, project managers, and administrative staff
• Educational advisors and support staff

6‑Day Course Agenda

Day 1 – Foundations of AI in Education

Focus: Understanding AI basics and its impact on education

• Introduction to Artificial Intelligence: myths vs. reality
• Key AI concepts explained for educators (machine learning, generative AI, automation)
• Overview of AI trends in European education and Erasmus+ priorities
• Mapping current challenges in teaching and school management
• Hands‑on exploration: beginner‑friendly AI tools for educators
• Reflection: opportunities and concerns about AI in participants’ institutions

Outcome: Participants gain a clear foundation and shared understanding of AI in education.

Day 2 – AI for Teaching and Learning

Focus: Enhancing classroom practice with AI tools

• AI tools for lesson planning and curriculum design
• Supporting differentiated instruction and personalized learning
• AI for language learning, CLIL, and multilingual classrooms
• Creating teaching materials, worksheets, and activities with AI
• Practical workshops using AI for daily classroom tasks
• Case studies and examples from European schools

Outcome: Participants can confidently use AI to support teaching and learning processes.

Day 3 – AI for Assessment, Feedback, and Inclusion

Focus: Fair, inclusive, and efficient learning support

• AI‑supported assessment: formative and summative approaches
• Automated feedback and student progress tracking
• Supporting students with special educational needs using AI
• AI for accessibility, language support, and inclusive education
• Ethical boundaries of AI in assessment and learning analytics
• Hands‑on tasks: designing inclusive AI‑assisted learning activities

Outcome: Participants understand how AI can enhance inclusion and assessment responsibly.

Day 4 – AI in School Leadership and Management

Focus: Smart tools for school organisation and leadership

• AI tools for school administration and workflow optimization
• Supporting decision‑making with data and AI insights
• Communication with staff, parents, and external stakeholders
• AI for project management and Erasmus+ coordination
• Reducing administrative workload with automation
• Leadership perspectives: managing digital change in schools

Outcome: School leaders and staff gain tools to improve efficiency and strategic planning.

Day 5 – Ethics, Wellbeing, and Responsible AI Use

Focus: Safe, ethical, and human‑centered AI integration

• Data protection, GDPR, and privacy in AI‑based tools
• Ethical challenges and responsible AI use in education
• AI and teacher wellbeing: reducing stress and overload
• Balancing technology, human interaction, and pedagogy
• Developing school guidelines for ethical AI implementation
• Group work: creating a responsible AI policy draft

Outcome: Participants are prepared to implement AI safely and ethically.

Day 6 – Implementation, Action Planning, and Future Vision

Focus: From learning to practice

• Designing an AI integration plan for participants’ own schools
• Selecting relevant AI tools for teaching and leadership contexts
• Measuring impact and sustainability
• Erasmus+ dissemination and institutional development strategies
• Presentation of action plans and peer feedback
• Course reflection, evaluation, and certification

Outcome: Participants leave with a concrete, realistic action plan ready for implementation.

Methodology

• Interactive lectures and guided discussions
• Hands‑on workshops with AI tools
• Group work, case studies, and peer exchange
• Reflective practice and action planning