My Program mapped to AI Competency Framework for Educators
based on AI Competency Framework for Educators
AI Competency Framework Assessment Matrix
Based on actual session content analysis from Weeks 1-7 transcripts.
Assessment Scale
- 0: No contribution
- 1: Minimal awareness building
- 2: Basic skill development
- 3: Moderate competency with practical application
- 4: Strong competency development with advanced techniques
- 5: Comprehensive mastery enabling leadership
1. Professional Engagement
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 4/5 | • Langdock platform introduction as AI aggregator • Multiple LLM access (Claude, ChatGPT, Gemini) • Basic AI tool understanding and setup | Strong foundational introduction to AI tools with hands-on platform access. Participants gain immediate exposure to professional AI environments. |
| A2 Explorer | 4/5 | • PACT assistant creation and experimentation • Active exploration of AI feedback mechanisms • Integration testing with personal knowledge | Excellent active exploration phase with practical experimentation. Participants move beyond passive consumption to active AI tool testing. |
| B1 Integrator | 3/5 | • AI workflow integration across capture-organize-distill-express • Regular use of AI assistants in knowledge work • Obsidian-Langdock integration for seamless workflows | Good integration of AI into established professional practices, though limited to knowledge management context. |
| B2 Expert | 2/5 | • Custom assistant creation skills • Jan’s advanced coaching assistant example • Limited advanced professional applications shown | Some advanced techniques demonstrated but not comprehensively developed across all professional contexts. |
| C1 Leader | 1/5 | • Minimal organizational leadership focus • No explicit guidance on leading AI adoption in teams | Very limited content on leading others in AI adoption or organizational change. |
| C2 Pioneer | 0/5 | • No policy development content • No institutional change frameworks • No cutting-edge AI research integration | No evidence of pioneering or policy-level AI competency development. |
Overall Professional Engagement: 3/5
2. Digital Resources
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 4/5 | • Building Block Assistant for content refinement • Basic AI-enhanced content creation workflows • Introduction to AI content processing | Excellent introduction to AI-powered resource creation with immediate practical application. |
| A2 Explorer | 4/5 | • Transcript processing for educational content • AI content enhancement experimentation • Julia’s podcast workflow development | Strong exploration of various AI content creation approaches with real-world applications. |
| B1 Integrator | 4/5 | • Express Assistant for content creation guidance • Obsidian-AI integration for resource workflows • Systematic AI integration in content pipelines | Excellent integration of AI into content creation workflows with systematic approaches. |
| B2 Expert | 3/5 | • Custom assistant building for specific resource needs • Advanced content processing techniques • Iterative improvement of AI-generated content | Good advanced techniques but limited to specific use cases rather than comprehensive expertise. |
| C1 Leader | 2/5 | • Limited guidance on leading resource creation teams • Some examples of sharing AI workflows | Minimal leadership focus in AI resource creation, though some peer sharing occurs. |
| C2 Pioneer | 1/5 | • Limited cutting-edge resource innovation • No systematic evaluation frameworks for AI resources | Very limited pioneering approaches to AI resource creation and evaluation. |
Overall Digital Resources: 4/5
3. Teaching and Learning
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 2/5 | • Basic AI awareness through general tool exposure • Limited teaching-specific AI context • General learning enhancement principles | Minimal specific focus on AI for teaching, though general AI awareness is developed. |
| A2 Explorer | 2/5 | • Jan’s coaching assistant from YouTube content • Limited exploration of AI in educational contexts • Some transferable learning principles | Some exploration of AI for learning support but not systematically focused on teaching applications. |
| B1 Integrator | 1/5 | • Minimal AI integration into teaching strategies • No explicit classroom AI integration guidance • Limited student-facing AI applications | Very limited content on integrating AI into actual teaching practices or student interactions. |
| B2 Expert | 1/5 | • No advanced teaching-specific AI applications • Limited pedagogical AI expertise development • No AI-enhanced curriculum design | Minimal development of expert-level AI teaching competencies. |
| C1 Leader | 0/5 | • No teaching leadership with AI content • No guidance on leading educational AI initiatives | No evidence of developing AI teaching leadership capabilities. |
| C2 Pioneer | 0/5 | • No innovative teaching methodology development • No cutting-edge educational AI research • No pedagogical innovation frameworks | No pioneering educational AI development content. |
Overall Teaching and Learning: 1/5
4. Assessment
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 1/5 | • Basic feedback through PACT assistant • Limited assessment-focused AI exposure • General feedback mechanisms | Minimal exposure to AI assessment concepts, only basic feedback functionality. |
| A2 Explorer | 1/5 | • Very limited assessment tool exploration • No systematic assessment AI experimentation • Minimal evaluation-focused content | Almost no exploration of AI assessment tools or methodologies. |
| B1 Integrator | 0/5 | • No AI assessment integration content • No systematic evaluation workflows • No assessment-specific AI tools | No evidence of integrating AI into assessment practices. |
| B2 Expert | 0/5 | • No advanced assessment AI tools • No automated grading or feedback systems • No learning analytics applications | No development of expert-level AI assessment competencies. |
| C1 Leader | 0/5 | • No assessment leadership content • No guidance on leading assessment innovation | No leadership development in AI assessment. |
| C2 Pioneer | 0/5 | • No innovative assessment development • No cutting-edge evaluation research • No assessment methodology innovation | No pioneering assessment AI development. |
Overall Assessment: 0/5
5. Empowering Learners
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 3/5 | • Personalized AI assistants introduction • Individual knowledge integration • Basic self-directed learning support | Good introduction to personalized AI that can support individual learner needs. |
| A2 Explorer | 3/5 | • Custom assistant creation for individual needs • Exploration of personalized AI workflows • Individual learning style considerations | Solid exploration of how AI can be customized for different learning approaches. |
| B1 Integrator | 3/5 | • AI-enhanced self-directed learning systems • Integration of personal knowledge with AI • Systematic personalization approaches | Good integration of AI for self-directed learning, though limited diversity focus. |
| B2 Expert | 2/5 | • Advanced personalization techniques • Limited focus on diverse learning needs • No accessibility-specific AI applications | Some advanced personalization but lacks comprehensive diversity and inclusion focus. |
| C1 Leader | 1/5 | • Minimal learner empowerment leadership content • Limited guidance on supporting diverse learners • No systematic inclusion frameworks | Very limited leadership development for empowering diverse learners with AI. |
| C2 Pioneer | 0/5 | • No innovative inclusion/accessibility development • No cutting-edge diversity research • No systematic accessibility frameworks | No pioneering work in AI for learner empowerment and inclusion. |
Overall Empowering Learners: 3/5
6. Facilitating Learners’ Digital Competence
| Sub-Competency | Rating | Evidence from Program | Reasoning |
|---|---|---|---|
| A1 Newcomer | 4/5 | • Multi-LLM exposure (Claude, ChatGPT, Gemini) • Hands-on AI platform experience • Basic AI literacy development | Excellent foundational AI literacy with exposure to multiple platforms and practical experience. |
| A2 Explorer | 3/5 | • Hands-on AI tool experimentation • Jan’s practical AI applications • Real-world AI use case exploration | Good exploration of AI capabilities through practical applications and real examples. |
| B1 Integrator | 3/5 | • AI assistant building skills • Integration of AI into daily workflows • Systematic AI tool usage | Solid integration of AI tools into regular practice with systematic approaches. |
| B2 Expert | 2/5 | • Understanding AI capabilities/limitations • Custom assistant development • Limited advanced AI concepts coverage | Some expert-level skills in AI tool creation but limited comprehensive AI education. |
| C1 Leader | 1/5 | • Limited AI education leadership content • Minimal guidance on teaching AI to others • No systematic AI curriculum development | Very limited focus on leading others in AI competency development. |
| C2 Pioneer | 0/5 | • No AI ethics curriculum • No societal impact frameworks • No cutting-edge AI research integration | No pioneering AI education development or ethical frameworks. |
Overall Digital Competence: 3/5
Summary Matrix
| Competency Area | A1 | A2 | B1 | B2 | C1 | C2 | Overall |
|---|---|---|---|---|---|---|---|
| Professional Engagement | 4 | 4 | 3 | 2 | 1 | 0 | 3/5 |
| Digital Resources | 4 | 4 | 4 | 3 | 2 | 1 | 4/5 |
| Teaching and Learning | 2 | 2 | 1 | 1 | 0 | 0 | 1/5 |
| Assessment | 1 | 1 | 0 | 0 | 0 | 0 | 0/5 |
| Empowering Learners | 3 | 3 | 3 | 2 | 1 | 0 | 3/5 |
| Digital Competence | 4 | 3 | 3 | 2 | 1 | 0 | 3/5 |
Key Insights
Strongest Areas (4-5/5):
- Digital Resources: Excellent practical AI integration for content creation with systematic workflows and real applications
Moderate Areas (2-3/5):
- Professional Engagement: Strong foundation (A1-A2) but limited advanced/leadership applications
- Empowering Learners: Good personalization focus but lacks diversity and inclusion emphasis
- Digital Competence: Strong hands-on experience but limited comprehensive AI education
Weakest Areas (0-1/5):
- Assessment: Almost no AI assessment tool coverage or evaluation frameworks
- Teaching and Learning: Minimal direct teaching applications despite transferable skills
Progression Pattern:
- Excellent at A1-A2 (Newcomer-Explorer) levels: Strong foundational AI exposure and experimentation
- Moderate at B1-B2 (Integrator-Expert) levels: Good practical integration but limited advanced expertise
- Weak at C1-C2 (Leader-Pioneer) levels: Minimal leadership development or cutting-edge innovation
Overall Program Rating: 2.3/5 - Provides solid foundational to intermediate AI competency development with particular strength in digital resource creation and practical AI tool usage.