senior-education-master

What problem does it solve?

Converts银发教育相关问题 into industry-grade, decision-ready thinking by applying a structured research protocol, tailored mental models (geragogy, demand-supply mismatch, digital divide, and policy alignment), and a practical playbook.

Core Features & Use Cases

• Agentic Protocol for evidence-driven answers: When a question depends on up-to-date facts, it guides the user to research along policy compliance, learner personas, curriculum design, instructor/operations, digital tools, sustainability/business model, and risk/ethics.
• Industry mental models for correct framing: Provides senior-education-specific reasoning (e.g., why geragogy is not adult education, why “one seat is hard to get” is structural, and why the digital divide is dignity and safety).
• Actionable playbooks + decision trees support: Recommends concrete operational rules for common situations (program setup, instructor training, OMO delivery, digitacy training, assessment, community outreach, and governance).
• Example use case: A community center wants to launch a “smartphone + anti-fraud” program for very low digital literacy seniors; the skill helps select the right entry sequence, tools, and classroom workflow, while guarding against “selling courses to seniors” risks.

Quick Start

Ask the AI: “I’m planning a 银发教育数字素养项目 for seniors with very low smartphone experience; what should my curriculum design, instructor ops plan, and risk controls be, step by step?”