Education & Training

Research-informed professional learning on Artificial Intelligence

AICult develops and delivers education and training pathways designed to support educators, institutions and organisations in understanding, using and critically evaluating Artificial Intelligence in educational and professional contexts.

All training activities are grounded in research evidence, aligned with international frameworks, and oriented towards ethical, pedagogically meaningful and sustainable integration of AI.

Training Philosophy

AICult approaches education and training on Artificial Intelligence as a continuous professional development process, rather than as short-term or tool-centred instruction.

Our training philosophy is based on the following principles:

• alignment between research and practice;

• integration of pedagogical, technological and ethical dimensions;

• active and experiential learning;

• reflective and collaborative professional growth;

• attention to risks, limitations and unintended consequences of AI use.
  
  

Types of Training Provided

1. Teacher Professional Development on AI

AICult designs professional development pathways for teachers at different educational levels, from primary education to upper secondary school and adult education.

Training focuses on:

• foundational AI literacy for educators;

• pedagogical integration of AI tools across disciplines;

• critical evaluation of generative AI systems;

• ethical and regulatory aspects of AI in education.

Special attention is given to helping teachers develop professional judgement and didactic intentionality, avoiding purely instrumental or automated uses of AI.

2. Research-Based Training Pathways

Many training programmes are directly connected to ongoing research activities conducted by AICult.

These pathways:

• involve participants as reflective practitioners;

• include data collection, feedback and evaluation phases;

• contribute to evidence generation on effective AI training models.

This approach strengthens the connection between teacher education and educational research, supporting iterative improvement of training design.

3. Blended and Online Learning Models

AICult delivers training through:

• face-to-face workshops;

• synchronous online sessions;

• asynchronous courses and MOOCs;

• blended and hybrid formats.

Research conducted by AICult supports the effectiveness of blended models, which combine flexibility with guided interaction, collaborative activities and structured reflection.

4. Hands-on and Project-Based Training

Training programmes include:

• hands-on experimentation with AI tools;

• project-based learning activities;

• lesson design and classroom simulation;

• collaborative planning and peer feedback.

Participants are supported in translating theoretical concepts into concrete educational practices, while critically reflecting on pedagogical value and potential risks.

5. Communities of Practice

AICult facilitates communities of practice that bring together teachers, trainers and researchers.

These communities:

• support peer learning and professional dialogue;

• encourage sharing of practices and challenges;

• foster long-term engagement beyond individual courses.

Communities of practice are particularly effective in sustaining reflective and responsible AI integration over time.

6. Training on Ethics, Risk Awareness and AI Governance

Ethical awareness is a core component of all AICult training activities.

Dedicated modules address:

• data protection and privacy in educational AI;

• bias, fairness and transparency;

• teacher responsibility and professional autonomy;

• regulatory frameworks such as the EU AI Act.
  
  

Emerging risks, including over-reliance on generative AI and practices such as vibe coding, are addressed through case studies, scenario analysis and guided discussion.

7. Training for Institutions and Organisations

In addition to teacher-focused pathways, AICult provides training for:

• school leadership teams;

• educational institutions;

• public bodies;

• organisations involved in AI adoption.
  
  

These programmes focus on:

• strategic decision-making;

• institutional AI policies;

• risk assessment and governance;

• alignment with ethical and regulatory standards.
  
  

Target Audiences

AICult training activities are designed for:

• teachers and educators;

• teacher trainers and instructional designers;

• school leaders and educational coordinators;

• university staff;

• public administrators;

• organisations involved in AI deployment.
  
  

Training Outcomes

Participants in AICult training programmes develop:

• informed and critical AI literacy;

• pedagogical competence in AI-supported teaching;

• awareness of ethical, legal and social implications;

• capacity to make responsible professional choices.
  
  

Looking Forward

AICult continuously updates its education and training offer in response to:

• emerging AI technologies;

• evolving educational practices;

• new regulatory and ethical frameworks;

• evidence from ongoing research.