| Human-centered mindset
| Teachers can maintain a human-centered perspective when using AI in professional communication, networking, and institutional and professional development
| Teachers can ensure human oversight and learner agency in AI-supported processes for selecting, creating, and evaluating digital resources.
| Teachers can keep learner agency, human relationships, and teacher judgment at the centre of AI-supported teaching and learning.
| Teachers can ensure human accountability and fairness in AI-assisted assessment processes
| Teachers can use AI to address diverse learning needs and styles, placing human dignity, equity, and the right to education at the core of every inclusive practice
| Teachers can model and cultivate human-centred attitudes towards AI as part of students' reflective digital (AI) competence development
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| Ethics of AI
| Teachers can apply ethical principles and regulatory awareness to their own use of AI in professional practice and institutional contexts
| Teachers can identify & mitigate ethical risks in AI-generated or AI-enhanced learning resources.
| Teachers can integrate ethical reasoning into decisions on whether and how to use AI for teaching strategies & learning activities
| Teachers can ensure that AI-assisted assessment practices meet standards of fairness, transparency, and legal compliance, allowing them to reflect on feedback & improve their assessment practices
| Teachers can address the ethical dimensions of AI personalisation, including risks of inequity, data misuse, and exclusion
| Teachers can educate students in responsible, critical, and ethically informed use of AI technologies
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| AI foundations and applications
| Teachers can apply foundational AI knowledge to inform professional decisions, engage critically with AI tools, lead AI-related professional learning in institutional contexts
| Teachers can critically select & use AI tools for creating, adapting & enhancing digital educational resources based on technical understanding of AI systems
| Teachers can apply understanding of how AI systems work to make informed, critical decisions about AI integration in teaching and learning, improving their own teaching practices and instructional design approaches
| Teachers can apply AI knowledge to design, implement and evaluate efficient and equitable AI-enhanced assessment practices, and systematically improve their assessment practices
| Teachers can select pedagogical strategies and AI tools that support personalisation and inclusion, based on informed understanding of how they function
| Teachers can build students' understanding of AI technologies and their societal implications as part of AI competence development
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