Nick Potkalitsky is the creator of a Substack called “Educating AI” which is pay to view. PSA subscribes, and here’s one of his latest about his recent trip to Seoul Korea for a conference there.
(17) Beyond Tool Proficiency: Reflections on AI Implementation in Southeast AsiaThanks to Gary for the link.
ChatGPT approach to a PSA Practical roadmap — localizing big-picture AI frameworks for PSA’s Southern New Mexico / West Texas context
Phase Key actions What localization looks like for PSA
1. Ground-truth the “why” • Convene a 90-minute online listening session with Las Cruces Public Schools, Doña Ana Community College, tribal-education liaisons and area nonprofits.• Rapid survey on teachers’ top AI pain-points (English & Spanish). The mix of rural broadband gaps, bilingual classrooms, and high poverty rates emerges as the filter for every later step.
2. Map global → local standards • Build a one-page crosswalk that lines up: — UNESCO 12 student competencies & 15 teacher competencies   — EU DigCompEdu-AI supplement (adult/VET focus)  — ISTE 2024 incremental AI indicators (digital citizenship & equity)  — New Mexico AI Guidance for K-12 + policy brief on data sovereignty & tribal consent  The crosswalk highlights overlaps (e.g., Ethical & Human-centred AI appears in all four) and gaps (e.g., no framework tackles students’ code-switching between English and Spanish AI prompts—PSA will add one).
3. Translate & contextualize • Rewrite the merged competencies in plain English + Spanish with local examples (“Ask ChatGPT to explain acequia water rights at a 5th-grade level”).• Insert regional spotlights—Spaceport America internships, chile-crop analytics, tribal oral-history projects—to show AI’s relevance. Teachers recognise scenarios from their own classrooms instead of abstract “global north” case studies.
4. Curate PSA’s own content as micro-evidence • Tag existing PSA blog posts & 17 interview videos with the new competency codes.• Create a searchable “PSA Commons” where a teacher clicking C3: Ethical Prompting sees Nick Potkalitsky’s article plus a local librarian interview.   Frameworks stop feeling “imported”; PSA’s decade-long archive becomes living proof of competencies in action.
5. Build three bite-sized professional-learning “sprints” 1. Mindset → Mechanics (4 hrs, asynchronous): why ethics before prompt tricks.2. Classroom pilots (one week): teachers plug a single AI activity into current NM science or ELA standards.3. Community showcase (2 hrs live): learners present outcomes to parents, tribal elders, local employers. Aligns with Nick’s warning that progress stalls without systemic integration and visible wins.
6. Badge it & measure it • Issue micro-credentials (PSA × Credly) mapped to each localized competency.• Embed a simple self-audit rubric (0-3 scale) so districts can track growth twice a year. District PD counts toward licensure; volunteers see a clear skill ladder.
7. Iterate on a fixed cadence • Calendar a semesterly “AI retro”—update the crosswalk whenever UNESCO, ISTE or NM PED release revisions.• Use ISTE’s new incremental update model as template for light-touch, high-frequency tweaks. Prevents the common “one-and-done demo day” trap Nick critiques.
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Quick wins PSA can start this month
1. Single-slide crosswalk – share at the next PSA board meeting to get buy-in.
2. Pilot lesson remix – adapt the UNESCO “Data-bias detective” activity to analyze chile-harvest images from local drones.
3. Bilingual prompt library – launch a Google Sheet where teachers drop English and Spanish prompt pairs; tag each with its competency code.
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Why this matters
By weaving global scaffolds (UNESCO, DigCompEdu, ISTE) together with state priorities (NM’s emphasis on data sovereignty and tribal oversight) and PSA’s own community stories, AI literacy stops being an external checklist and becomes a living, locally owned culture of practice—exactly the shift from “tool proficiency” to system-level mindset that Potkalitsky champions.