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AI Competencies Framework – Activities

Contents

The following are activities that educators should consider and can undertake to work on their AI literacy competencies:

Activities

Professional Development– To critically reflect on one’s own AI and pedagogic practice.
– To identify competence gaps and areas for improvement.
– To seek the help of others in improving one’s AI and pedagogical practice.
– To seek targeted training and use opportunities for continuous professional development.
– To seek to continuously expand and enhance one’s repertoire of AI pedagogical practices.
– To help others in developing their AI pedagogical competence.
– At the organisational level, to reflect on and provide critical feedback on AI policies and practices.
– To actively contribute to further developing organisational practices, policies, and visions on the use of AI technologies.
Ethical Use of AI Tools & Resources– To formulate appropriate search strategies to identify AI resources for teaching and learning.
– To select suitable AI resources for teaching and learning, consider the specific learning context and learning objectives.
– To critically evaluate the credibility and reliability of AI sources and resources.
– To consider possible restrictions to the use or reuse of AI resources.
– To assess the usefulness of AI generated resources in addressing learning objectives.
– To investigate tools and resources such as:
* AI assistants,
* Video generation,
* Research,
* Graphic design,
* Music generation.
Creating Teaching and Learning Content– To critically reflect on AI and pedagogic practice.
– To use AI technologies to create learning resources and information for learners.
– To use AI to create teaching and learning content to share via Aula.
– To use AI to design and implement learning activities, which generate data on learner activity and performance.
– To use AI technologies to synthesize data for learners.
– To use AI technologies to generate data that can be used to inform teaching and learning.
– To consider and respond to potential accessibility issues when creating AI based resources.
– To reflect on the suitability of the AI created content to improve accessibility
Use of AI in the Application of Teaching and Learning– To use AI technologies to visualise and explain new concepts in a motivating and engaging way.
– To employ AI technologies to create activities that are motivating and engaging.
– To adapt teaching practices, based on the data generated by the AI technologies used.
– To use AI technologies to allow learners to actively engage with the subject matter at hand.
– To select appropriate AI technologies for fostering active learning.
Assessment of Learning– To use AI technology to design and create formative and summative assessments.
– To use AI technology to grade and give feedback on electronically submitted assignments.
– To use assessment management systems to enhance the effectiveness of feedback provision.
– To use AI to enable learners to evaluate and interpret the results of formative and summative assessment.
– To adapt assessment practices, based on the data generated by the AI technologies used.
– To use AI technologies in innovative ways to create knowledge.
Developing Learners’ AI Competence– To provide equitable access to appropriate AI technologies and resources.
– To use AI to articulate information needs, to search for data, information, and content.
– To analyse, compare and critically evaluate the credibility and reliability of data generated by AI technologies.
– To facilitate opportunities for learners’ self-empowerment through appropriate AI technologies.
– To enable learners to modify, refine, improve, and integrate information and content created through AI technologies.
– To understand how to use and share information created through AI while being able to protect oneself and others from damage.
– To identify, evaluate, select, and use AI technologies to solve a given task or problem.

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Updated on June 5, 2026
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