AI Competency Framework for Educators

Source [[@bekiaridis_erganzung_nodate]]

General Description of Proficiency Levels (A1-C2)

This model outlines six development stages for educators’ competence with AI, progressing from initial awareness to innovative leadership.

• Newcomer (A1): Corresponds to a basic level of proficiency, where educators are just beginning to explore the potential of AI and require guidance.
• Explorer (A2): At this stage, educators start to experiment with AI tools and apply them in their practice, though not always in a structured way.
• Integrator (B1): Educators at this level integrate AI tools into a variety of their professional activities, using them to enhance their established practices.
• Expert (B2): Experts confidently and creatively use a range of AI strategies to improve their professional activities and serve as a source of inspiration for their peers.
• Leader (C1): Leaders have a comprehensive and strategic approach to using AI. They not only apply it effectively but also guide and mentor others, influencing practices within their organization.
• Pioneer (C2): Pioneers are at the forefront of innovation. They question and reshape current practices, develop new approaches, and influence the broader educational community and policy.

1. Professional Engagement

This area focuses on the use of AI tools for professional development, communication, and collaboration.

Progression Model (A1-C2)

A1 Newcomer

• Understands the basics of how Artificial Intelligence (AI) can be used for professional development and communication.
• Begins to engage with AI tools for simple tasks like automatic email replies or basic data analysis.
• Is aware of the potential of AI for professional networking but has limited practical application.

A2 Explorer

• Actively explores various AI tools for professional communication and development.
• Begins to integrate AI into routine professional tasks, such as using AI to organize meetings or for basic data interpretation.
• Participates in professional learning communities that discuss AI in education, sharing initial experiences and learning from peers.

B1 Integrator

• Regularly uses AI tools for a range of professional activities, including advanced data analysis and communication optimization.
• Integrates AI into professional development plans and seeks out AI-focused training and resources.
• Collaborates using AI tools, demonstrating effective use in team projects or collaborative initiatives.

B2 Expert

• Masters a variety of AI tools for advanced professional purposes, such as predictive analytics for learner performance.
• Leads training seminars or workshops on AI for colleagues, sharing expertise and best practices.
• Uses AI innovatively for personal and organizational growth, contributing to the broader educational community through AI-powered initiatives.

C1 Leader

• Leads the adoption of cutting-edge AI technologies in the professional environment.
• Shapes organizational policies and practices around the use of AI in professional engagement.
• Mentors others in integrating AI into their professional practice, driving change and innovation within the educational community.

C2 Pioneer

• Advances the field through original ideas or research on the use of AI in professional development and communication.
• Leads major projects or initiatives that transform professional engagement through AI at a systemic level.
• Is a recognized expert and thought leader on the use of AI in education, influencing policy, practice, and future developments.

2. Digital Resources

This refers to the creation, evaluation, and adaptation of AI-powered digital educational resources.

Progression Model (A1-C2)

A1 Newcomer

• Awareness: Understands the basic concept of artificial intelligence and its potential to enhance digital resources.
• Exploration: Begins to explore AI tools for creating simple digital content, such as using AI-powered design software for basic tasks.
• Familiarity: Has a basic familiarity with AI-powered resources available for education, though actual use may be limited.

A2 Explorer

• Experimentation: Actively experiments with AI tools for resource creation, such as using text generators or simple data analysis tools for educational content.
• Selection: Begins to identify and select AI-powered digital resources that align with learning objectives.
• Integration: Integrates basic AI-generated content into teaching materials, aware of the benefits and limitations.

B1 Integrator

• Proficient Application: Regularly uses AI tools for developing and modifying digital resources, such as advanced data analysis for resource customization.
• Critical Evaluation: Critically evaluates AI-enhanced resources for their pedagogical quality and relevance.
• Sharing Practices: Begins to share insights and AI-enhanced resources with colleagues, contributing to the school’s digital resource pool.

B2 Expert

• Advanced Creation: Expertly creates sophisticated AI-powered digital resources and adapts them to complex educational requirements.
• Leadership in Resource Development: Leads initiatives in the development and evaluation of AI-powered digital resources.
• Mentoring: Guides and trains other educators in the effective use and creation of AI-powered digital resources.

C1 Leader

• Innovative Practices: Innovatively uses AI for creating digital resources, setting standards for quality and relevance.
• Strategic Implementation: Plays a key role in the strategic planning and implementation of AI in resource development at an institutional level.
• Community Contribution: Actively contributes to professional communities by sharing advanced practices and resources for AI-powered digital content.

C2 Pioneer

• Groundbreaking Development: Contributes original ideas or research in the field of AI-powered digital resources.
• Systemic Transformation: Leads transformative projects that redefine the use of AI in the creation and management of digital resources in education.
• Thought Leadership: Recognized as a leading figure in AI and digital resources, influencing policy, practice, and future developments in educational technology.

3. Teaching and Learning

This involves the integration of AI into teaching strategies and learning activities to support personalized learning experiences.

Progression Model (A1-C2)

A1 Newcomer

• Basic Awareness: Understands the fundamental concepts of AI and its potential impact on teaching and learning.
• Initial Application: Begins to use simple AI tools, like AI-driven learning games or basic analytics, to support instruction.
• Learning and Observing: Actively learns about AI in education through observation, research, and participation in basic training.

A2 Explorer

• Experimentation: Explores different AI tools and resources for teaching, such as adaptive learning platforms and AI-powered content creation tools.
• Integration into Teaching: Begins to integrate AI into lesson plans and activities on a limited or trial basis.
• Reflection: Reflects on the effectiveness and challenges of using AI in the classroom, seeking feedback and making adjustments.

B1 Integrator

• Competent Use: Regularly integrates AI tools into teaching practice, using AI to enhance instructional design, learner engagement, and learning outcomes.
• Collaboration: Collaborates with peers to share experiences and strategies for integrating AI into teaching.
• Adaptive Learning Strategies: Implements AI-driven adaptive learning strategies to address the diverse needs of learners.

B2 Expert

• Advanced Implementation: Implements a range of AI tools for sophisticated teaching strategies, such as personalized learning paths and predictive analytics.
• Innovation in Pedagogy: Innovates in the development of AI-powered teaching methods.
• Leadership in Professional Development: Leads workshops or training sessions for other educators on AI in education.

C1 Leader

• Strategic Planning: Plays a strategic role in planning and implementing the integration of AI into curricula and educational programs.
• Mentorship and Guidance: Acts as a mentor and advisor to colleagues on the effective use of AI in teaching.
• Transforming Teaching: Leads initiatives and projects that transform teaching and learning practices through the integration of AI at an institutional or broader level.

C2 Pioneer

• Groundbreaking Innovations: Offers original research or innovative practices for the use of AI in teaching and learning.
• Systemic Impact: Influences systemic changes in educational practice and policy related to the use of AI in teaching and learning.
• Thought Leadership: Recognized as a thought leader in the field of AI in education, with influence on educational practices and frameworks at a national or international level.

4. Assessment

This area covers the use of AI tools for efficient and effective student assessment.

Progression Model (A1-C2)

A1 Newcomer

• Basic Understanding: Recognizes the potential of AI to enhance assessment practices, such as automated grading or feedback.
• Initial Application: Begins to experiment with basic AI tools for assessment, such as simple quiz platforms with automated scoring.
• Awareness Building: Gains awareness of the benefits and limitations of AI in assessment, recognizing the need for human oversight.

A2 Explorer

• Exploratory Integration: Actively explores various AI assessment tools and integrates them into some assessments to increase efficiency.
• Data Interpretation: Begins to interpret and use the data generated by AI assessment tools to understand learner performance.
• Feedback and Adjustments: Provides feedback on AI-powered assessments and makes adjustments based on learner responses and results.

B1 Integrator

• Regular Application: Regularly uses AI tools for a variety of assessment tasks, increasing the efficiency and effectiveness of the assessment process.
• Data-Driven Decisions: Uses AI-generated data to develop teaching strategies and identify areas where learners can improve.
• Collaborative Sharing: Shares experiences and strategies for integrating AI into assessment with colleagues, contributing to professional learning communities.

B2 Expert

• Advanced Techniques: Implements advanced AI assessment tools like predictive analytics and adaptive tests to tailor assessments to individual learner needs.
• Innovative Assessment Design: Develops innovative assessment strategies that leverage AI capabilities to improve accuracy and insight into the learning process.
• Contribution to Professional Development: Leads training and professional development seminars on AI in assessment, sharing their expertise with other educators.

C1 Leader

• Strategic Implementation: Strategically implements AI in assessment practices at the organizational or departmental level, influencing broader assessment policies.
• Mentoring and Guidance: Supports colleagues in the effective use of AI in assessment, providing guidance and support.
• Systemic Improvement: Initiates and leads projects that significantly enhance assessment practices through the integration of AI, impacting educational standards and practices.

C2 Pioneer

• Pioneering Research: Contributes original research or innovative practices in the field of AI-powered assessment, advancing the field.
• Influencing Policy and Practice: Influences policy and practice at a systemic level, driving changes in how AI is integrated into assessment in educational institutions.
• Thought Leadership: Recognized as a thought leader in AI in assessment, shaping the future direction of educational assessment practices and frameworks at a national or international level.

5. Empowering Learners

This relates to using AI to meet diverse learning needs and to promote inclusion and self-directed learning.

Progression Model (A1-C2)

A1 Newcomer

• Basic Awareness: Understands the potential of AI to support diverse learning needs.
• Initial Engagement: Begins to engage with AI tools that can help personalize learning experiences, such as adaptive learning software.
• Learning about the Role of AI: Gains knowledge about how AI can support learners, especially those with special educational needs.

A2 Explorer

• Active Exploration: Actively explores and tests various AI tools to support differentiated learning and evaluates their impact on learner engagement.
• Basic Implementation: Begins to implement simple AI tools in the classroom to support learners with different needs.
• Feedback and Adaptation: Gathers feedback from learners on AI tools and makes necessary adjustments to better meet their needs.

B1 Integrator

• Regular Application: Regularly uses AI to support and enhance personalized learning experiences, addressing the diverse needs of learners.
• Data-Driven Strategies: Uses data from AI tools to develop teaching strategies and support individual learning paths.
• Collaboration and Sharing: Shares experiences and strategies for using AI to empower learners with colleagues, contributing to professional learning communities.

B2 Expert

• Advanced Implementation: Skillfully integrates advanced AI tools to provide comprehensive support for personalized learning and special needs.
• Innovative Pedagogical Approaches: Develops and implements innovative pedagogical approaches that use AI to support learners.
• Leadership in Professional Development: Leads professional development events or workshops on using AI to empower learners, sharing their knowledge with other educators.

C1 Leader

• Strategic Planning and Implementation: Strategically plans and implements the integration of AI to support learners across all curricula and educational programs.
• Mentorship and Advocacy: Acts as a mentor and advocate for the effective use of AI to empower learners, guiding colleagues and influencing policy.
• Systemic Improvement: Leads initiatives that significantly enhance learner empowerment through AI, impacting educational standards and practices at an institutional or broader level.

C2 Pioneer

• Pioneering Innovations: Contributes original ideas or research in the field of artificial intelligence for learner empowerment, advancing the field.
• Influencing Education Policy: Influences policy and practice at a systemic level, driving transformative changes in how AI is used to support learners in educational institutions.
• Thought Leadership: Recognized as a thought leader in using AI to empower learners, influencing the future direction of educational practices and frameworks at a national or international level.

6. Facilitating Learners’ Digital Competence

This includes teaching knowledge about AI concepts, ethical use, data literacy, and the role of AI in society.

Progression Model (A1-C2)

A1 Newcomer

• Basic Awareness: Understands the fundamental role of AI in developing digital competence and its potential impact on learners.
• Initial Engagement: Begins with the introduction of basic AI concepts and AI tools in the classroom to promote initial digital skills.
• Learning about Digital Trends: Actively seeks information about how AI influences digital competence and its importance for education.

A2 Explorer

• Exploratory Integration: Experiments with integrating AI tools into teaching to enhance digital competence, e.g., by using simple programming platforms or AI-driven learning software.
• Basic Instruction: Begins to teach basic AI concepts to learners, emphasizing the importance of digital skills in the modern world.
• Feedback and Adaptation: Gathers feedback from learners on AI-based activities and makes necessary adjustments to support the development of digital competence.

B1 Integrator

• Regular Application: Regularly incorporates AI tools and AI concepts into teaching to promote learners’ digital skills and understanding.
• Data-Informed Instruction: Uses data from AI tools to inform and adapt teaching strategies, supporting diverse digital learning needs.
• Collaborative Learning: Promotes collaborative learning projects using AI to foster learners’ digital problem-solving and creativity.

B2 Expert

• Advanced Implementation: Integrates advanced AI applications into teaching, providing deep insights into digital competence, including data literacy and ethical AI use.
• Innovative Curriculum Design: Designs and implements innovative curricula that incorporate AI to develop sophisticated digital competencies.
• Contribution to Professional Development: Leads training on integrating AI into teaching to develop digital competencies, sharing their expertise with other educators.

C1 Leader

• Strategic Implementation: Plays a strategic role in the broader integration of AI into educational programs to enhance digital competence.
• Mentorship and Advocacy: Acts as a mentor and advocate for the integration of AI in education, guiding colleagues in developing digital competencies.
• Systemic Impact: Leads initiatives that significantly enhance the education of digital competence through AI, influencing standards and practices at an institutional or broader level.

C2 Pioneer

• Pioneering Innovations: Contributes original research or innovative practices in the field of AI for the education of digital competence, advancing the field.
• Influencing Policy and Practice: Influences policy and educational practice at a systemic level, driving transformative changes in digital competence education.
• Thought Leadership: Recognized as a thought leader in integrating AI for teaching digital competence, influencing educational practices and frameworks at a national or international level.

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