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Edu Research Methods

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教育研究方法参考:教育研究设计、实证研究自动化(AI 辅助量化流程)、混合研究方法、准实验设计四类方法论框架。Triggers: 教育研究的研究问题怎么定、量化统计想用 AI 加速、量化和质性怎么混在一起做、没法随机分班怎么做教学实验、准实验设计选哪种。

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  • Added October 20, 2026
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npx -y skills add EtherealMingo/university-teacher-skills --skill edu-research-methods --agent claude-code

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SKILL.md
---
name: edu-research-methods
description: "教育研究方法参考:教育研究设计、实证研究自动化(AI 辅助量化流程)、混合研究方法、准实验设计四类方法论框架。Triggers: 教育研究的研究问题怎么定、量化统计想用 AI 加速、量化和质性怎么混在一起做、没法随机分班怎么做教学实验、准实验设计选哪种。"
---

# 教育研究方法参考

> **Goal**:为教育研究者提供从选题到发表的四种方法支架——研究设计总体框架、
> AI 自动化的实证流程、量化×质性混合设计、无法随机分派时的准实验设计。

## 参考文档

- `references/education-research-design.md` — 教育研究设计:研究问题形成、研究方法选择、资料收集与分析策略的整体规划框架,含依目的与依方法的研究类型分类。
- `references/empirical-research-automation.md` — 实证研究自动化:用 AI 打通资料收集、统计代码转换、统计分析与论文撰写的完整流程,提升效率与可重现性。
- `references/mixed-methods.md` — 混合研究方法:整合量化与质性研究的优势互补设计,含混合研究的价值论证与设计类型。
- `references/quasi-experimental-design.md` — 准实验研究设计助手:教育现场无法完全随机分派时的研究架构、测量工具、统计决策与内外在效度提升方法。

## 来源与许可

上游 [ChatGPT3a01/claude-educational-ai-skills](https://github.com/ChatGPT3a01/claude-educational-ai-skills),MIT 许可证,2026-09-10 收录(commit 8f09b6c);原为繁体中文,本包转为简体。

Files in this skill

  • LICENSE1.1 KB
  • SKILL.md1.6 KB
  • references/education-research-design.md10 KB
  • references/empirical-research-automation.md9.3 KB
  • references/mixed-methods.md9.7 KB
  • references/quasi-experimental-design.md12.3 KB

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