Welcome to the EduAId Massive
Open Online Course Platform
Empowering educators with the tools of tomorrow.
Master AI, digital inclusion, and innovative teaching
through our free, self-paced European training program.
Bridging the Gap in Digital Education
Modern classrooms demand more than just technology; they require the right pedagogical approach. EduAId was designed by a consortium of European experts to help teachers, trainers, and tutors integrate Digital Tools and AI into their daily practice—ethically and effectively.
AI-Driven Pedagogy
Understand how Artificial Intelligence can personalize learning and reduce administrative tasks.
Inclusive Design
Learn how to create accessible digital content that ensures no student is left behind.
Certified Excellence
Earn a recognized European certificate upon completion of each module.
Your Path to Digital Mastery in 3 Steps.
Join the Community
Register for free and get instant access to our entire library of resources.
Learn at Your Own Pace
No deadlines, no pressure. Just take your time and complete the course.
Apply & Certify
Complete practical activities, download your certificate and start using your new skills in the classroom.
Explore our Modules
Module 1 will teach you:
This module will provide a comprehensive overview of what Artificial Intelligence (AI) is and its transformative potential in the educational context. It will explore basic concepts, the evolution of AI, and its current and future applications in the classroom and in school management, with a particular focus on the digital skills essential for the 21st century. In turn, it will introduce the concept of micro-credentials as an innovative approach to skills recognition.
Fundamentals of Artificial Intelligence
Learning Objectives
-> Describe what AI is and its different manifestations.
-> Identify examples of AI in everyday life and education.
-> Understand basic AI terminology.
The Potential of AI in Educational Transformation
Learning Objectives
-> Analyse how AI can personalise learning and improve student outcomes.
-> Explore the use of AI in assessment and feedback tools.
-> Discuss the contribution of AI to continuing professional development.
Microcredentials and the Future of Qualifications
Learning Objectives
-> Evaluate the microcredentials system as a means of validating AI skills, in line with EU policies.
-> Analyse the relevance of micro-credentials for cross-border professional mobility.
-> Discuss the integration of micro-credentials into curricula and professional development.
Module 2 will teach you:
This module will focus on practical applications and AI-based digital tools that can be directly integrated into teaching practices. Participants will learn how to use digital training platforms, gamified applications, and chatbots to create more dynamic and engaging learning environments, as planned in WP3.
Exploring Digital Learning Platforms with AI
Learning Objectives
-> Navigate and use the EduAId digital training platform.
-> Identify learning resources and tutorials available on the platform.
-> Understand how AI can assist in managing the platform.
Gamification and Microcredentials in Practice
Learning Objectives
-> Design gamified activities that promote student engagement.
-> Use the gamification application to award digital microcredentials.
-> Analyse feedback from the gamified application to adjust teaching strategies.
AI Chatbot: Support and Learning Tool
Learning Objectives
-> Configure and interact with an AI-based chatbot for support.
-> Develop use cases for chatbots in educational contexts.
-> Evaluate the effectiveness of chatbots in improving the learning experience.
Module 3 will teach you:
This module will empower professional educators to create highly personalised learning environments that adapt to students’ individual needs using the power of AI. It will explore how AI can diagnose learning gaps, adapt content and pathways, and promote inclusion, with a special focus on disadvantaged groups and learners with special needs.
Adaptation and Differentiation with AI
Learning Objectives
-> Identify AI tools that assist in the adaptation of teaching materials.
-> Understand the concept of adaptive learning paths.
-> Apply simple AI-assisted differentiation techniques.
AI for Inclusion and Support for Students with Special Needs
Learning Objectives
-> Explore AI applications that remove barriers to learning.
-> Develop strategies for integrating AI as a support for student with multiple disabilities.
-> Discuss the role of AI in promoting equity in access to education.
Data Analysis and Pedagogical Decision-Making with AI
Learning Objectives
-> Interpret AI-generated performance reports.
-> Use data insights to improve teaching methodologies.
-> Develop a plan to integrate AI data analysis into pedagogical management.
Module 4 will teach you
This module is crucial to ensuring that the integration of AI in education occurs in an ethical, safe and responsible manner, aligned with the values of the European Union. Issues of data privacy, security, algorithmic biases and the development of policies for the conscious use of AI will be addressed.
4.1 Data Privacy and Security in the Age of AI
Learning Objectives
-> Understand the basic principles of the GDPR and its application in education.
-> Identify data privacy risks when using AI.
-> Apply best practices to protect student data.
4.2 AI Biases and Equity in Education
Learning Objectives
-> Analyse how biases in AI can affect equity in education.
-> Develop strategies to minimise bias in the selection and use of AI tools.
-> Promote inclusion through conscious and ethical AI design.
4.3 AI Policy and Governance in Schools
Learning Objectives
-> Assess existing EU policy frameworks on AI in education, such as the Artificial Intelligence Act.
-> Formulate policy recommendations for the responsible use of AI in schools.
-> Lead the implementation of ethical and privacy guidelines on the use of AI.