The glossary helped teachers, school leaders, school advisors, students, and project partners from all participating countries to develop a shared understanding of key terms related to Artificial Intelligence. The glossary provided clear explanations of important concepts used throughout the project, supporting communication among participants with different educational, linguistic, and professional backgrounds. It facilitated the implementation of the online course, workshops, best-practice exchange, and policy recommendations by ensuring that all partners used common terminology when discussing AI integration in secondary education. 

Future Classrooms: AI-Driven Innovation in Education-Entry survey

The survey explored participants’ digital readiness, familiarity with Artificial Intelligence, current use of AI tools, training expectations, and perceived barriers. The findings show that educators are interested in using AI in teaching, especially through practical classroom applications, lesson planning, assessment, differentiation, and support for diverse learners.

At the same time, the results highlight the need for structured training, clear ethical guidance, adequate infrastructure, and school-level support. These findings will guide the design of the online course and contribute to the project’s Best-Practices Guide and Policy Recommendations for responsible AI integration in secondary education.

As part of our project, educators participated in a facilitated focus group and individual written reflection activity to identify priorities for AI training, barriers to implementation and principles for safe use.

Participants emphasised the need for practical, subject-specific training, classroom-ready tools and clear step-by-step guidance. They also highlighted challenges such as limited infrastructure, unreliable internet access, insufficient devices, time constraints and unequal digital readiness.

A strong consensus emerged around responsible AI use: teacher guidance, protection of personal data, verification of information and the principle that AI should support—not replace—independent thinking and learning. The findings informed the refinement of the online course, the Best-Practices Guide and the project’s policy recommendations.

Future Classrooms: AI-Driven Innovation in Education is a practical Erasmus+ online course designed to help secondary school educators explore the role of Artificial Intelligence in contemporary teaching and learning. Developed through a European partnership between organizations in Greece, Italy, Türkiye, and Malta, the course supports teachers, school leaders, and educational advisors in building confidence with AI tools and integrating them meaningfully into educational practice.

The course introduces participants to the fundamentals of Artificial Intelligence, including Machine Learning and Generative AI, before moving into practical classroom applications. Through clear examples and hands-on activities, participants explore how AI can support lesson planning, assessment, differentiation, inclusive education, student engagement, and the creation of educational materials. The course also addresses important ethical questions related to privacy, bias, academic honesty, and responsible AI use in schools.

Designed for educators with different levels of digital experience, the course focuses on free and accessible tools that can realistically support everyday teaching practice. Participants are encouraged to approach AI critically and thoughtfully, seeing it not as a replacement for teachers, but as a tool that can enhance creativity, save time, and support diverse learners.

The course is self-paced and structured into three modules:

• Understanding the Basics of AI

• Exploring AI Tools for Education

• Integrating AI into Everyday Teaching

By the end of the course, participants will be able to identify suitable AI tools, adapt learning materials for different student needs, and create AI-enhanced lesson plans aligned with pedagogical goals and ethical principles.

As part of the Future Classrooms: AI-Driven Innovation in Education project, educators participated in a practice-based focus group combining collaborative lesson planning with qualitative course evaluation.

Working in small groups, participants designed AI-enhanced lesson plans across different subject areas using the 5E instructional model. They explored how AI can support idea generation, differentiation, formative assessment, educational material development and student engagement, while also considering accuracy, teacher oversight and personal-data protection.

The discussion confirmed the practical value of the training and highlighted the need for continued support through clear templates, classroom examples, prompt-writing guidance and responsible-use strategies. The activity demonstrated how professional learning can be transformed into concrete, pedagogically meaningful classroom practice.

The guide addresses an important question for contemporary education: how can teachers assess whether students truly understand what they have learned in an age when AI tools can easily generate or reproduce answers?

It highlights assessment approaches that go beyond memorisation and focus on critical thinking, creative problem-solving, oral presentations, and classroom discussion. It also presents Artificial Intelligence as a supportive educational tool that can provide personalised learning experiences and feedback.

The document provides practical guidance for the responsible, transparent, and ethical use of AI in schools. It introduces four levels of AI use, recommendations for assessment and academic integrity, data protection principles, and clear responsibilities for teachers and students.

Designed to support schools in developing a shared approach to AI, this resource promotes critical thinking, responsible use, and pedagogically meaningful integration of Artificial Intelligence in education.

Read the common policy in Greek language

Read the common policy in Italian language

Read the common policy in Turkish language

Multilingual student guidelines posters encourage students to use AI for learning, practice, feedback, and planning, while avoiding high-risk uses such as copying AI-generated text, inventing sources, or using AI in tests without permission.

They are available in Greek, English, Italian, and Turkish, promoting safe, ethical, and meaningful AI use across the partner schools.

AI lesson plan checklists have been created to support teachers in designing and reviewing lessons enriched with Artificial Intelligence.

The checklists focus on clear learning objectives, meaningful pedagogical use of AI, teacher supervision, responsible student use, assessment, ethics, inclusion, and data privacy. Their central message is that AI should support learning, not replace teaching.

As part of the Erasmus+ KA210-SCH project “Future Classrooms: AI-Driven Innovation in Education,” we are pleased to share a folder with practical documents designed to support teachers, students, and schools in the responsible and pedagogically meaningful use of Artificial Intelligence.

The folder includes ready-to-use resources for AI-supported lesson design, prompt writing, assessment, peer review, student fact-checking, teacher reflection, and school-level policy development. These documents aim to help educators integrate AI into teaching and learning in a way that promotes critical thinking, transparency, inclusion, academic integrity, and data protection.

The toolkit contains:

• an AI Lesson Design Canvas,

• a Prompt Writing Teachers’ Guide,

• an Assessment Quality Checklist,

• a Peer Review Form,

• a Teachers’ Reflection Form,

• a Student Fact-Checking Routine,

• and a Common Policy for the Use of AI in Student Assignments.

Together, these resources provide a practical framework for designing AI-enhanced learning activities, evaluating their educational value, guiding students in responsible AI use, and supporting schools in developing clear and ethical approaches to AI integration.

You can access the full folder here:https://drive.google.com/drive/folders/1skpqwUFFJdxUay7XkjEWY9wdkOyqDr2T?usp=sharing

This practical resource helps students evaluate AI-generated information through the “Stop – Think – Check” routine. It encourages them to verify facts, compare trusted sources, identify bias and reflect before using AI content.

Its key message is simple: never trust AI blindly—verify, evaluate and think critically.

An analysis of three end-of-lesson surveys gathered 471 anonymised responses. Participants found the online AI course relevant, engaging, accessible and useful, with high satisfaction and recommendation rates.

The feedback also highlighted areas for improvement, including more practical examples, hands-on activities, support for classroom application, peer-guidance materials and careful language review. The report reflects the project’s commitment to quality assurance and continuous improvement.

The Future Classrooms Post-Course Survey gathered responses from 79 educators in Greece, Italy and Türkiye. The findings show increased confidence, practical competence and growing use of AI in educational practice.

The report also highlights the need for ready-to-use resources, continued training, institutional support and clear guidance for the safe and responsible use of AI in schools.

The Future Classrooms: AI-Driven Innovation in Education project conducted a Teacher Opinion Survey with 48 educators to explore the use, benefits, challenges and ethical implications of Artificial Intelligence in education.

The findings show that AI is used mainly for lesson planning, while its use in teaching and assessment remains more limited. Teachers recognised its value for differentiation, material development and workload reduction. At the same time, they highlighted concerns related to data privacy, reliability, academic integrity, unequal access and student misuse.

Respondents strongly supported teacher training, ethical AI education for students, critical evaluation of AI-generated information, improved access to tools and the development of official guidelines. The results underline the need for a critical, equitable, regulated and human-centred approach to AI integration in education.

We are pleased to share the findings of our student survey on the use of Artificial Intelligence in education. Based on 141 responses from students in Grades 7–12, the survey explored how students use AI, the benefits they recognise, and the concerns they express.

The findings show that students view AI as a useful learning support, particularly for understanding difficult topics. At the same time, they emphasise the importance of checking accuracy, using AI responsibly, acknowledging sources, and receiving clear guidance from schools. Overall, the results support a balanced and supervised approach to AI integration in education.

The Erasmus+ project Future Classrooms: AI-Driven Innovation in Education has published its Best Practice Guide & Policy Recommendations document.

The document brings together the main outcomes of the project, including AI-enhanced lesson plans, classroom implementation examples, practical tools and policy recommendations for the responsible use of Artificial Intelligence in secondary education.

It presents good practices developed by project partners from Greece, Türkiye and Italy, covering a wide range of subjects and teaching approaches. The guide also includes practical resources on AI literacy, ethical use, assessment, student data privacy, school readiness and classroom agreements for responsible AI use.

This publication aims to support teachers, schools and educational authorities in integrating AI into education in a meaningful, safe, inclusive and pedagogically sound way.

Through this guide, the project contributes to digital innovation, teacher professional development and the creation of future-ready learning environments across Europe.