Embedded Files
PROJECT RESULTS
PROJECT RESULTS
Future Class-AI Glossary
Future Class-AI Glossary
The online “Future Class-AI Glossary”
The online “Future Class-AI Glossary”
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.
The self - paced course
The self - paced course
_REPORT Pre course survey OCT 2025.pdfPre course survey
Pre course survey
Future Classrooms: AI-Driven Innovation in Education-Entry survey
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.
The self paced course
The self paced course
Future Classrooms: AI-Driven Innovation in Education
Future Classrooms: AI-Driven Innovation in Education
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.
Student Assessment and AI
Student Assessment and AI
Students Assessment and AI.pdfA Brief Guide on Student Assessment in the Era of AI
A Brief Guide on Student Assessment in the Era of AI
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.
Suggested common policy for students' assignements
Suggested common policy for students' assignements
Common policy for students assignments.pdfCommon policy for students' assignements
Common policy for students' assignements
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
AI at School: Student Guidelines
AI at School: Student Guidelines
AI at School: Guidelines for Student
AI at School: Guidelines for Student
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 for Teachers
AI Lesson Plan Checklists for Teachers
AI LESSON PLAN CHECKLIST.pdfAI lesson plan checklists
AI lesson plan checklists
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.
Toolkit
Toolkit
Practical Toolkit for Responsible AI Integration
Practical Toolkit for Responsible AI Integration
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
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