3.4 Learning Objectives

Human-centered mindset

Teachers can recognise common AI use cases in professional communication and networking and the situations where human judgement, presence, or relationship-building must take precedence.

Teachers can recognise their own AI-related learning needs and tools that support their continuous professional development.

Teachers can summarise how AI is used in their institution for stakeholder engagement and organisational development, including the opportunities and

Teachers can summarise how AI tools can support the selection, creation, customisation, and management of digital resources, including which steps require human oversight and pedagogical judgement.

Teachers can recognise typical quality criteria for AI-generated or AI-enhanced learning materials, including the indicators that signal when a resource needs human review.

Teachers can interpret how learner agency and autonomy can be preserved or undermined by AI-generated or AI-personalised resources, including when learners should be involved in decisions

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

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 on 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

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

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

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 on 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

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

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

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 on 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

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