Structure AI and civic literacy lessons with a six-stage teaching arc.
npx skills add https://github.com/LBCplus/ai-literacy-pedagogy --skill sand-to-smart
Please help me install this Agent Skill. Skill: sand-to-smart Source: https://github.com/LBCplus/ai-literacy-pedagogy/tree/main Command: npx skills add https://github.com/LBCplus/ai-literacy-pedagogy --skill sand-to-smart
Sand to Smart provides a context-first pedagogical framework to help AI systems teach AI literacy and civic literacy to learners who may have limited technology exposure or distrust institutions.
Explain the Sand to Smart pedagogy to a non-technical learner in a concise, interactive session.
High-intent search queries and answers about installing and using this skill.
Teach AI literacy to non-technical learners by applying a context-first pedagogy that guides them from concrete ground to abstract concepts using a structured six-stage arc. This framework supports workforce development and adult education contexts.
Structure a civic literacy curriculum using a six-stage teaching arc with embedded nonpartisan guardrails and domain-specific scaffolds. This approach centers learner agency and supports practical outcomes for nonprofit civic engagement.
Scaffolding pedagogy for reentry services uses a six-stage arc to move learners from concrete contexts to abstract concepts. It embeds domain-specific scaffolds and evaluation benchmarks to ensure quality control and learner progression.
You can use this framework to design workforce development training without a technical background by leveraging modular structures with domain scaffolds and reusable classroom workflows that center practical outcomes.
Evaluate learner progress in an AI literacy course by using the evaluation benchmarks embedded within the pedagogical framework. These benchmarks are designed for rapid curriculum design and quality control across various domains.
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