KA220 SCH Slow Tech Innovation: AI, Ethics, and New Teaching Methods
2025-1-IT02-KA220-SCH-000365213
IT02 – Agenzia Nazionale Erasmus+ – INDIRE
01/09/2025 to 31/08/2027 24 months
Coordinator
IT UNIVERSITA DEGLI STUDI DI FOGGIA https://www.unifg.it/it
Partners
ES UNIVERSIDAD DE ALICANTE https://www.ua.es/
ES UNIVERSIDAD DE ZARAGOZA https://www.unizar.es/
EL Diefthinsi Defterovathmias Dodecanesou (Directorate of Secondary Dodecanese) https://dide.dod.sch.gr/ and for Erasmus https://blogs.sch.gr/erasmus
EL Esperino Gymnasio Rodou https://gym-esp-rodou.dod.sch.gr/
TR Esenler Ilce Milli Egitim Mudurlugu Türkiye İstanbul Esenler https://esenler.meb.gov.tr/
TR Konak Sehit Ömer Halisdemir Bilim ve Türkiye İzmir Sanat Merkezi https://konakbilsem.meb.k12.tr/
LT Panevezio “Vyturio” progimnazija https://www.vyturio-progimnazija.lt/
HORIZONTAL: Addressing digital transformation through development of digital readiness, resilience and capacity
SCHOOL EDUCATION : Supporting teachers, school leaders and other teaching professions SCHOOL EDUCATION: Supporting innovators at school
WP1
Activities will be designed following the principles of Universal Design for Learning (UDL), ensuring that all students, regardless of their abilities or socio-economic background, benefit from personalized and inclusive learning pathways.
The use of online learning platforms (MOOCs) will host educational materials, training resources, and collaborative tools accessible to all project partners.
Challenges may focus on acquiring new digital skills, integrating AI into teaching practices, or participating in physical activities, fostering collaboration and engagement among partner organizations. Participants will earn digital recognitions, serving as a motivational tool for completing activities and enhancing competencies. The approach will ensure that all project activities align with European policies for digital education transformation, including the DigCompEdu framework, the Digital Education Action Plan 2021-2027, and the Ethical Guidelines for AI in Teaching and Learning. The integration of advanced digital tools and innovative methodologies will allow for physical activity incorporation into training programs, promoting holistic well-being and enhancing partner interaction.
WP2
Research and Methodology Development aims to develop an advanced methodological framework and
AI-based tools to enhance educational practices. Through a specific methodological framework, current practices in partner countries will be analyzed to create an AI-based pedagogical model and provide digital and training tools for teachers.
Activity 1 Transnational meeting: Research Framework & Methodology Design Virtual activity
First meeting to define the steps and to create a Methodological Document for Comparative Research; Data collection tools (questionnaires, interview and focus group protocols); Detailed plan for data collection in various countries.
Activity 2 Data Collection & Case Studies in Partner Countries Virtual activity
Database with data on AI practices in various countries; National report with research findings; report and feedback form different focus groups.
Activity 3 AI-Based Pedagogical Model Development Spain
Comparison and analysis of European good practices for thinking to: an Innovative Pedagogical Model for AI Use in Education; next Model Validation with Pilot Teachers
Activity 4 Open Educational Resource (OER) Repository for AI Italy
First step for the creation of an Open-access repository with AI-based educational resources connected with the existing EDUOPEN (University of Foggia): Accessible educational materials for teachers and students; Digital tools for AI-ready teaching.
Activity 5 AI Teacher Training Development Türkiye
Course for teacher training on AI use; Video lessons, interactive quizzes, and AI-based teaching materials;
Course availability on open educational platforms.
Activity 6 Comparative Analysis & Report (final conference) Virtual activity
Meeting between partners to share comparative analyses and draft the report on the results of data collection and best practice sharing, also considering it as a feedback event for end users.
WP3
Testing and Evaluation of AI; Go to School aims to evaluate the impact of AI on teaching and learning by experimenting with innovative tools and methodologies to ensure the ethical and effective integration of AI in education. The activities aim to test the use of AI in teaching STEAM subjects and citizenship education to improve knowledge and skills acquisition;
Activity 1 Experimental Implementation of AI in Teaching, focuses on the experimental implementation of AI in STEAM subjects and digital citizenship to collect real data on the effectiveness of AI in enhancing teaching and learning, providing scientific evidence of its potential and challenges.
Activity 2 Data Collection and Impact Analysis, analyzing quantitative and qualitative data to measure the impact of AI on students and teachers. Best practices for integrating AI into teaching methods
Activity 3 Ethical and Inclusive AI Adoption Guidelines, reflecting and analyzing the ethical implications of AI use (algorithmic transparency, data protection), and outlining recommendations for teachers and policymakers on the responsible use of AI in schools.
Ethical AI adoption recommendations, addressing transparency, equity, and responsible use; analysis of ethical implications; policy guidance for teachers and policymakers.
Activity 6 Go To School: Italy Experimental Implementation of AI in Teaching and International Mobility
Experimental implementation of AI in STEAM and digital citizenship, with international mobility; Creation of LU and UDL pathways for inclusive teaching; Initial feedback on AI use in the classroom
Activity 8 Go To School: LEAD Greece Experimental Implementation of AI in Teaching and International Mobility
Experimental implementation of AI in STEAM and digital citizenship, with international mobility; Creation of LU and UDL pathways for inclusive teaching; Initial feedback on AI use in the classroom
Activity 10 LEAD Greece Only Lithuania AI in Teaching: A HandsOn Experience Through Student Mobility
Experimental implementation of AI in STEAM and digital citizenship, with student mobility; Creation of LU and UDL pathways for inclusive teaching; Initial feedback from students and teachers on AI use in the classroom.
WP4
Policy Recommendations & Guidelines for AI in Education has the specific objective of developing policy recommendations and European guidelines for the ethical and sustainable integration of Artificial Intelligence (AI) in education. It translates research into practical tools to support schools and policymakers in adopting AI inclusively, responsibly, and in line with international frameworks (UNESCO, DigCompEdu).
WP4 aims to provide teachers with practical tools, including manuals, guides, and AI-based lesson plans, to support the integration of AI in education. It offers open-access, adaptable resources to enhance digital skills and promote the conscious use of AI in classrooms.
Activity 1 Development of Policy Recommendations & AI Guidelines Italy
Policy recommendations document based on collected evidence; European guidelines for the ethical and sustainable integration of AI; Involvement of experts and stakeholders in the development process.
Activity 2 Creation of Practical Tools for Teachers Spain
Practical tools for teachers (manuals, operational guides, AI-based lesson plans); Open-access educational resources to facilitate AI integration in the classroom; Development of specific training modules for different educational levels.
Activity 3 Ethical AI & Environmental Impact Analysis Virtual activity
“Insights on the Environmental Impact of AI in Education; Sustainable Strategies for AI in Schools; Ethical AI Governance at the Institutional Level.
Activity 4 Quality Monitoring & Sustainability Plan Italy
Project Quality Monitoring and Evaluation System; Sustainability Plan to Ensure Long-Term Adoption of Results; Framework for Policy Updates Based on Emerging Trends.
WP5
Platform & Dissemination
Creation of an AI Training and Experimentation Hub, a hybrid physical and digital space that will serve as a center for professional development, AI tool experimentation, and best practice exchange.
Dissemination and networking strategy to foster knowledge transfer, engagement, and large-scale AI adoption. This will be achieved through a multi-channel approach, including a website, digital content, social media, and an open-access repository. The International Didactics Festival will enhance dissemination by uniting educators, policymakers, and AI experts to share best practices and strengthen international collaboration.
Activity 1 AI Training and Experimentation Hub for Education: Empowering Teachers and Schools for the Future of Learning
The AI Training and Experimentation Hub will provide training for teachers and school institutions, both in-person and online; testing and experimentation of AI tools; development and training of an open-source AI for schools.
Activity 2 Final feedback and dissemination seminar LEAD Greece
Conference proceedings publication. Sharing results with stakeholders and presenting the Slow Tech AI platform.
Activity 3 Publication of the Project Experience Handbook
publishing an open-access Handbook with contributions from educators and stakeholders, distributed via educational channels, translated for global reach.