Playbook EN
0. About this Playbook
1. AI in Education
1.1 Potentials & Risks
If you remember only one sentence form this page: AI has made its way into schools like a medici...
1.2 Teaching About vs Teaching with AI
Take Home message AI is a satnav. AI can save the driver who already carries the map and preven...
1.3 Responsible Use of AI
Take Home message Responsibility is a design task, not a control task. Detection of AI does not ...
1.4 Compliant Use of AI
Take Home message There is no legal vacuum. Data protection law has applied all along. The tim...
1.5 Current State of AI in Education
Take Home message AI is already widely used in educational contexts. Teaching with AI. AI is cu...
1.6 Legislation
Take Home message The EU AI Act is the legal basis. The EU’s rulebook for AI is in force since A...
2. Good Practices & Classroom Examples (all)
2.1 Introduction
2.2. Biology: Vibe Coding Simulations in the Classroom
Predator–Prey Dynamics (Lotka–Volterra model) Subject: Biology · Grade: 9 (age 14–15) · Durat...
2.10. Programming: Assistance in selected tasks
Learn to program code without AI writing code Subject: Programming · Grade: 9 (age 14–15) · D...
2.3 English as a Foreign Language
Communicative Appropriateness in English Subject: English as a Foreign Language · Grade: 9 (age...
2.4. Social Studies: AI, Media and Reality
Can We Believe Everything We See? Subject: Social Studies · Grade: 5 (age 10–11) · Duration: 1 do...
2.5 Cross-Curricular: AI-Assisted Lesson Design
AI-Assisted Instructional Design Subject: Teacher Professional Development · Target Group: Teac...
2.6 History: Reconstruction of the past
A Day in Medieval Riga: What Can Sources Really Tell Us? Subject: History Grade · Target Group:...
2.7 Informatics / Natural Science: AI for a Real School Problem
Can AI Help Us Sort Waste at School? Subject: Informatics/Natural Science · Target Group: 7 (ag...
2.8 Mathematics: Can the Machine Actually Calculate?
A First Encounter with AI in the Primary Maths Classroom - Speech Recognition with the „Recheneul...
2.9 Example: Computer Science
2.10 Engineering: Trust, but Verify the Circuit
Does It Actually Work? Checking AI's Circuit Explanations Against Real Measurements Subject: Phys...
2.11 Art: Fingerprints of Style
Whose Brush, Whose Voice? Detecting Artists' Characteristics with AI Subject: Art & Literature ·...
3. AI Pedagogical Competency Framework
The DUAL.AI.TEACHer Competency Framework is the result of a cross-analysis of the DigCompEdu, AI ...
3.1 Dimensions
The DUAL.AI.TEACHer Framework is structured as a comprehensive two-dimensional matrix that outlin...
3.2 The DUAL.AI.TEACHer Competence Framework
The intersection of the horizontal and vertical dimensions of the matrix yields a set of eighteen...
3.3 Progression Levels and Operators
Making Competence Development Traceable The 18 core competencies of the DUAL.AI.TEACHer framework...
3.4 DUAL.AI.TEACHer Learning Objectives
For each of the eighteen competencies identified, a set of specific learning objectives has been ...
4. Certification & Micro-Credentials (ICEP)
5. AI Integration Roadmap
5.1 How to Use the Roadmap
This chapter presents the DUAL.AI.TEACHer Integration Roadmap: nine stages that take an instituti...
5.2 Roadmap (Summarized Short Version)
Our starting point The DUAL.AI.TEACHer project aims to develop a clear and adaptable roadmap of s...
5.3 Roadmap for Schools
Who this section is for School leaders, deputy heads and those responsible for professional devel...
5.4 Full Roadmap for Teacher Education Institutions
Who this section is for Deans, programme directors, teacher educators and those responsible for q...
6. Resources & References
Glossary
Collection of relevant technical terms