Artificial Intelligence in Education: Opportunities, Tools, and Ethics

AI

Course Description

This course explores the transformative impact of Artificial Intelligence (AI) on education and equips participants with the knowledge and skills to use AI tools effectively and ethically in the classroom. Teachers, school leaders, and education professionals will engage in practical sessions on AI-powered educational tools, critically analyze their implications, and learn how to integrate them into lesson planning, assessment, and school policy. Special emphasis will be placed on responsible AI use, digital literacy, and developing institutional ethical guidelines.

Methodology

The methodological approach includes:

  • Team – Building Sessions
  • Ice – Breaking and Warm – Up Sessions
  • Energisers
  • Group Discussions
  • Debates
  • Questioning
  • Goal – Setting sessions
  • Brainstorming
  • Questionnaires

Learning Outcomes

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

  • Understand the fundamentals of Artificial Intelligence and its relevance to education.
  • Identify the benefits and risks of integrating AI into teaching and learning.
  • Apply AI tools (e.g., ChatGPT, Diffit, MagicSchool, Curipod) for lesson planning, assessment, and personalization.
  • Design and deliver AI-supported educational content aligned with pedagogical objectives.
  • Critically assess ethical challenges such as bias, transparency, data privacy, and student dependence on AI.
  • Promote digital literacy and responsible AI use among students.
  • Draft a practical ethical AI policy for their own schools or institutions.
  • Build future-ready strategies for leveraging AI to foster inclusive, engaging, and personalized learning environments.
  • Network with teachers from various European countries.
  • Increase capacity to cooperate on an international level.

Programme of Training Activities

Day 1 – Monday

  • 09:00 – 09:30 | Welcome, registration, team-building activity
  • 09:30 – 10:30 | What is Artificial Intelligence? – Key terms and concepts
  • 10:30 – 10:45 | Coffee Break
  • 10:45 – 12:00 | AI in Education – Opportunities and Risks
  • 12:00 – 13:00 | Lunch Break
  • 13:00 – 14:30 | Case Studies: Ethical Dilemmas with AI Use in Schools
  • 14:30 – 15:30 | Group discussion: “Would you let an AI grade your students?”

Day 2 – Tuesday

  • 09:00 – 10:30 | Exploring AI-powered tools: ChatGPT, Canva, Diffit, MagicSchool, Curipod
  • 10:30 – 10:45 | Coffee Break
  • 10:45 – 12:00 | Lesson Planning with AI – Designing learning activities
  • 12:00 – 13:00 | Lunch Break
  • 13:00 – 14:30 | Workshop: Create your AI-assisted lesson plan
  • 14:30 – 15:30 | Peer review and feedback on lesson plans

Day 3 – Wednesday

  • 09:00 – 10:30 | AI for Assessment – Automated grading, formative quizzes, data-driven feedback
  • 10:30 – 10:45 | Coffee Break
  • 10:45 – 12:00 | Personalization and Learning Analytics
  • 12:00 – 13:00 | Lunch Break
  • 13:00 – 14:30 | Hands-on: Create an AI-generated quiz and rubric
  • 14:30 – 15:30 | Reflection: What role should AI play in student progress monitoring?

Day 4 – Thursday

  • 09:00 – 10:30 | AI and Misinformation: Deepfakes, hallucinations, and student misuse
  • 10:30 – 10:45 | Coffee Break
  • 10:45 – 12:00 | Digital Literacy and Critical Thinking in the Age of AI
  • 12:00 – 13:00 | Lunch Break
  • 13:00 – 14:30 | Interactive Workshop: Design a digital literacy activity for students
  • 14:30 – 15:30 | Group Discussion: Preparing students for an AI-driven world

Day 5 – Friday

  • 09:00 – 10:30 | Ethical Frameworks for AI Use in Schools
  • 10:30 – 10:45 | Coffee Break
  • 10:45 – 12:00 | Developing Ethical AI Policies for Schools
  • 12:00 – 13:00 | Lunch Break
  • 13:00 – 14:30 | Interactive Session: Drafting your school’s AI usage policy
  • 14:30 – 15:30 | Final Presentations, Certificates, and Course Evaluation

Follow-up

Trainees will be given soft and hard copies of all lesson materials, which they can present to their colleagues at their own organizations to generate interest in the strategies learnt during the training course. In addition, a mailing list of participants will be created in order to exchange ideas and experiences. Self-evaluation materials will be provided. At the end of the course the participants will fill in a questionnaire in order to get detailed feedback for the effectiveness of the training event.