The Ambidextrous Educator: In Search of Community
Source: Nick Potkalitsky Substack
Author: Nick Potkalitsky
Original source: https://nickpotkalitsky.substack.com/p/ambidextrous-education-in-search
Published: 2026-06-15
Source type: essay
Private backup: the full article text is archived in the private repository at archives/articles/nickpotkalitsky-substack-com-ambidextrous-education-in-search.source.md. It is not published on the public Quartz site.
Summary
Potkalitsky responds to CRPE’s ambidextrous AI-in-education framework by arguing that teachers do not experience present accountability and future redesign as separate strategic horizons. In classrooms, those pressures collapse into the same assignment, lesson, and evidence problem.
The article’s main contribution is to position teacher work groups and professional learning communities as the translation layer between system strategy and classroom practice. It argues that this work requires time, space, trust, investment, and disciplinary grounding rather than expecting individual teachers to absorb AI-driven redesign in isolation.
Pull quotes
Community or isolation
“The critical question is whether it is being done in community or in isolation.”
Translation layer
“Teacher work groups and professional learning communities operate at a different altitude — neither setting policy nor delivering instruction, but translating between the two in real time.”
Investment is real
“teachers may need to be paid for this work of educational redesign.”
Big ideas
Claims
- District AI implementation needs living guidance and teacher-led redesign
- AI literacy takes system capacity, not just tool access
- AI literacy only works when it is connected to subject-area knowledge
Key evidence and examples
- The article argues that teachers experience present-oriented accountability and future-oriented redesign inside the same classroom moment rather than as separate policy timelines.
- Potkalitsky’s research cohort treats the discipline as a bridge between current measures of mastery and future-ready learning.
- Teacher work groups and PLCs are described as the practical structure that translates system initiatives into classroom realities.
- The article argues that time, protected space, facilitation, and material investment are prerequisites for meaningful AI-related instructional redesign.
Education relevance
High relevance for district AI implementation, teacher professional learning, disciplinary AI literacy, and any school trying to move from top-level strategy to durable classroom practice.
Durability note
The specific CRPE paper and cohort examples are time-bound, but the article’s durable idea is that ambidextrous AI work needs organized teacher community and disciplinary grounding rather than isolated compliance.