AERA > RESULTS
RESULTS
The following results will be developed, tested and approbated during the project realisation:
- R1: A novel AI-related roadmap and platform for personalized learning patways and homework support for students with disabilities and learning difficulties accessible to educators across the EU.
- R2: Approbated hybrid microcredential training course including tips, guidelines and strategies for educators.
- R3: Pre- and post- assessments to measure competency gains of educators.
- R4: Illustrative guidance handbook for students with disabilities and learning difficulties on independent AI-use.

Expected impact:
Impact on participating organisations:
- 3 participating universities:
- Enhanced reputation: Participation in this innovative project will enhances the universities reputation as a forward-thinking institution committed to inclusive education via ethical and responsible use of AI and provision of dedicated roadmap and resource platform.
- Improved curriculum: Integration of AI technology will modernize the curriculum in Pedagogical subjects for bachelor degrees of students (future teachers), making it more relevant and attractive to prospective students.
- Research opportunities: Collaboration with AI businesses and NGOs will opens up avenues for joint research projects, publications, and grant applications.
4, Student recruitment: Demonstrating leadership in AI-driven education will attract more students interested in special education and technology. - Faculty development: Faculty members will gain exposure to cutting-edge technologies and methodologies, enhancing their teaching skills and research capabilities.
- 2 participting NGOs and the AI business representative:
- Increased visibility: Partnership with high-profile entities like above universities and AI businesses will raise the NGO’s profile within the community and among donors.
- Expanded reach: Leveraging the network of universities and AI businesses allows the 2 NGOs to reach more beneficiaries and expand their impact.
- Policy influence: Collaborative work with the national advisory boards who will function during the project can lead to stronger advocacy efforts and greater influence on education policies.
- Capacity building: Access to advanced AI technology and expertise will help the 2 NGOs to improve their own programs and services for further teachers’ qualification.
Impact on recent and future teachers:
- Teachers will gain a deep understanding of how AI can be integrated into educational practices, enabling them to leverage technology for better learning outcomes.
- They learn techniques for tailoring instruction to meet the unique needs of students with disabilities and learning difficulties.
- Teachers will develop the ability to design and implement innovative lesson plans that utilize AI tools for enhanced engagement and comprehension.
- Holding a microcredential in AI-driven education makes teachers stand out in the job market, demonstrating their commitment to staying abreast of educational innovations.
- Their students will benefit from personalized learning pathways that cater to their individual needs and learning styles. AI-driven tools can increase student engagement and motivation, leading to improved academic performance.
- Teachers trained in AI-driven education can act as agents of change, advocating for the integration of technology in their schools and communities.
Integration into their regular work: this will be immediate upon their participation in the piloting phase and sharting the outcomes with their colleagues and peers.

Impact on local, regional and national level:
- Improved educational quality: Local schools (where the trained teachers are working) will benefit from enhanced teaching practices and personalized learning, leading to better academic outcomes for students with special needs
- Community engagement: Increased parental involvement due to improved communication and transparency facilitated by AI tools.
- Inclusivity: Local communities see an increase in educational opportunities for students with disabilities and learning difficulties, promoting social inclusion.
- Reduced the risks of inappropriate use of AI tools in education – by provision of ethical and responsible roadmap for the use of AI in personalised learning, we will support the overcoming of issues such as trustfullness of the AI, confidentiality, use of data etc.
- Successful local implementations can influence regional education policies, encouraging wider adoption of AI in education.
- Higher education institutions in the region can enhance their reputations by pioneering AI-driven education, attracting more students and researchers.
Impact on European level:
- Successful national implementations can contribute to the development of a common EU framework for AI integration in education.
- Evidence-based outcomes and Comparative findings report will inform EU policy recommendations, guiding member states in adopting best practices.
- GDPR Compliance:We are adhering to stringent data privacy regulations like GDPR can set precedents for ethical AI use across the EU.
- National successes can influence the formulation of pan-European ethical guidelines for AI in education.
- AI can optimize resource allocation in education, contributing to sustainable development goals.
- Our project activities targeting students with disabilities and learning difficulties align with EU values of equality and non-discrimination as well as the are in line with UN Convention of the rights of people with disabilities; European Disability Strategy 2021-2030; European Pillar of Social Rights; European Accessibility Act; Council Recommendation on High-Quality Early Childhood Education and Care Systems; European Agency for Special Needs and Inclusive Education (EASNIE); European Semester Process,
Impact on International level:
- The project deliverables will be shared during the Latin America International Webinar (WP3/A4f) with the potential to build a Capacity building in Higher education proposal to transfer the know-how and innovation to these countries, which will extend the preparation of educators their to use more efficiently AI tools in inclusive education.

