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Our starting point The DUAL.AI.TEACHer project aims to develop a clear and adaptable roadmap of seven to ten stages that helps teacher education institutions embed AI into both initial teacher education and continuing professional development. The roadmap focu...

This chapter presents the DUAL.AI.TEACHer Integration Roadmap: nine stages that take an institution from its first strategic conversation about AI to a permanent structure for it. It is written for people who shape how an institution works, rather than for ind...

This playbook is aimed at you, as teachers, who wish to acquire the necessary knowledge about using AI in schools. AI will be used for a variety of purposes. With regard to teaching, we focus on the areas of ‘teaching about AI’ and ‘teaching with AI’ to impar...

Generated with Google Gemini For Teachers There are different ways you can use the Playbook.  Option 1: You’re looking for ideas for your next school day to teach students about AI or to use AI to teach subject-specific content. In this case, go directly to C...

Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman. BEKIARIDIS, G. (author) and ATTWELL, G. (ed.), Supplement to the DigCompEDU Framework: Outl...

What is the certification? The DUAL.AI.TEACHer certification pathway provides teachers with a structured way to demonstrate their competences in two complementary areas: AI-Enhanced Teaching and AI Literacy. Teachers may pursue either one certification track o...

The Micro-Credentials Micro credentials are short, focused qualifications that certify specific learning outcomes and skills axquired through brief training or courses.  Characteristics:  Short-term learning - Completed in hours, days, or weeks rather than ...

Take Home message Responsibility is a design task, not a control task. Detection of AI does not work properly. And AI detection is unfair when it fails. There is a risk of mistakenly identifying answers as AI-generated, or vice versa. Several European countri...

The intersection of the horizontal and vertical dimensions of the matrix yields a set of eighteen competencies, each of which represents a specific point of convergence between a pedagogical area and an aspect of AI. These competencies define what teachers nee...

Take Home message There is no legal vacuum. Data protection law has applied all along. The timetable moved. The high-risk duties for education AI start on 2 December 2027, not August 2026. Check your school's handouts. Already binding since February 2025. E...

Take Home message AI is already widely used in educational contexts. Teaching with AI. AI is currently used by teachers to prepare or improve lesson plans, for assessment and to distinguish content across different educational levels. Teaching about AI. AI i...

Terms introduced in the playbook Term Explanation Also used in Automation bias Accepting a machine's suggestion without independently checking it AI Detector Software claiming to identify machine-written text. What it actually measures is predictab...

Take Home message The EU AI Act is the legal basis. The EU’s rulebook for AI is in force since August 2024 and phasing in through 2027. It applies not just tech companies, but also to schools. AI literacy is a duty, not a course to tick off. Schools must supp...

For each of the eighteen competencies identified, a set of specific learning objectives has been defined in order to translate the competency into concrete and practical outcomes. These learning objectives specify the knowledge, skills, and attitudes that teac...