[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-teacher-educator-ai-lesson-kit-zh":3,"seo:pack:teacher-educator-ai-lesson-kit:zh":99},{"code":4,"message":5,"data":6},200,"操作成功",{"pack":7},{"slug":8,"icon":9,"tone":10,"status":11,"status_label":12,"title":13,"description":14,"items":15,"install_cmd":98},"teacher-educator-ai-lesson-kit","📚","#7C3AED","new","本周新建","教师 \u002F 教育者 AI 备课包","面向 K-12 教师、高校讲师、线上课程作者的十个工具：把 AI 引入备课-讲义-出题-批改-辅导的全流程，又不丢教学主线。Prompt 范式 + 幻灯片 + 学习包生成器 + 出题问卷 + LMS + 个性化辅导 + 记忆层，按推荐安装顺序排列。含学生数据隐私提醒。",[16,28,38,46,54,61,69,76,83,90],{"id":17,"uuid":18,"slug":19,"title":20,"description":21,"author_name":22,"view_count":23,"vote_count":24,"lang_type":25,"type":26,"type_label":27},166,"6692e725-30db-45bd-93c5-65d28891bf2a","fabric-ai-prompt-patterns-everything-6692e725","Fabric — AI Prompt Patterns for Everything","Collection of 100+ AI prompt patterns for real-world tasks. Summarize articles, extract wisdom, analyze code, write essays, create presentations, and more.","Prompt Lab",188,0,"en","prompt","Prompt",{"id":29,"uuid":30,"slug":31,"title":32,"description":33,"author_name":34,"view_count":35,"vote_count":24,"lang_type":25,"type":36,"type_label":37},24,"08be0198-969e-4daa-be30-2fec2a868e87","mr-ranedeer-personalized-ai-tutor-prompt-08be0198","Mr. Ranedeer — Personalized AI Tutor Prompt","GPT-4 system prompt that creates a personalized AI tutor. Adapts to your learning level, language, and style. Used by 30K+ learners.","TokRepo精选",438,"skill","Skill",{"id":39,"uuid":40,"slug":41,"title":42,"description":43,"author_name":44,"view_count":45,"vote_count":24,"lang_type":25,"type":36,"type_label":37},2644,"6d9aa1d3-47d7-11f1-9bc6-00163e2b0d79","marp-create-presentation-slides-markdown-6d9aa1d3","Marp — Create Presentation Slides from Markdown","A Markdown-based presentation ecosystem with a CLI, VS Code extension, and browser-based engine that converts Markdown files into HTML, PDF, and PowerPoint slide decks.","AI Open Source",169,{"id":47,"uuid":48,"slug":49,"title":50,"description":51,"author_name":52,"view_count":53,"vote_count":24,"lang_type":25,"type":36,"type_label":37},3635,"7a9502e3-58ab-59a1-b9d5-f7e80b83a4b3","notebooklm-py-notebooklm-cli-python-api-skill","notebooklm-py — NotebookLM CLI + Python API Skill","notebooklm-py provides a CLI + Python API for NotebookLM with agent hooks; verified 13,142★ and uses Playwright Chromium for browser login.","Skill Factory",87,{"id":55,"uuid":56,"slug":57,"title":58,"description":59,"author_name":44,"view_count":60,"vote_count":24,"lang_type":25,"type":36,"type_label":37},2608,"06f95a58-4772-11f1-9bc6-00163e2b0d79","heyform-open-source-conversational-form-builder-06f95a58","Heyform — Open-Source Conversational Form Builder","Heyform is a self-hosted form builder that creates engaging conversational forms with conditional logic, integrations, and analytics, offering a free alternative to Typeform for surveys, quizzes, and data collection.",99,{"id":62,"uuid":63,"slug":64,"title":65,"description":66,"author_name":67,"view_count":68,"vote_count":24,"lang_type":25,"type":36,"type_label":37},2240,"17abee7c-4237-11f1-9bc6-00163e2b0d79","moodle-open-source-learning-management-system-17abee7c","Moodle — Open-Source Learning Management System","The most widely used open-source learning platform, providing course management, assessments, and collaboration tools for educators and organizations worldwide.","Script Depot",134,{"id":70,"uuid":71,"slug":72,"title":73,"description":74,"author_name":44,"view_count":75,"vote_count":24,"lang_type":25,"type":36,"type_label":37},2427,"4c84046a-44d2-11f1-9bc6-00163e2b0d79","canvas-lms-open-source-learning-management-system-4c84046a","Canvas LMS — Open-Source Learning Management System","Modern learning management system used by schools, universities, and corporations worldwide. Provides course creation, assignments, grading, video conferencing integration, and a mobile-friendly interface.",112,{"id":77,"uuid":78,"slug":79,"title":80,"description":81,"author_name":34,"view_count":82,"vote_count":24,"lang_type":25,"type":36,"type_label":37},4434,"2cf35906-3ad2-4486-9b1c-f1d756166134","claude-code-agent-microsoft-study-mode-2cf35906","Claude Code Agent: Microsoft Study Mode","Activate your personal Microsoft\u002FAzure tutor - learn through guided discovery, not just answers.",44,{"id":84,"uuid":85,"slug":86,"title":87,"description":88,"author_name":44,"view_count":89,"vote_count":24,"lang_type":25,"type":36,"type_label":37},4178,"bab2efd8-5293-11f1-9bc6-00163e2b0d79","deeptutor-ai-powered-personalized-learning-assistant-bab2efd8","DeepTutor — AI-Powered Personalized Learning Assistant","An agent-native learning platform that uses multi-agent systems and deep research to provide interactive, personalized tutoring from any document or paper.",77,{"id":91,"uuid":92,"slug":93,"title":94,"description":95,"author_name":96,"view_count":97,"vote_count":24,"lang_type":25,"type":36,"type_label":37},703,"96da1f40-1823-4d87-a84f-7d8269edeb24","mem0-memory-layer-ai-applications-96da1f40","Mem0 — Memory Layer for AI Applications","Add persistent, personalized memory to AI agents and assistants. Mem0 stores user preferences, past interactions, and learned context across sessions.","Mem0",720,"tokrepo install pack\u002Fteacher-educator-ai-lesson-kit",{"pageType":100,"pageKey":8,"locale":101,"title":102,"metaDescription":103,"h1":104,"tldr":105,"bodyMarkdown":106,"faq":107,"schema":123,"internalLinks":129,"citations":142,"wordCount":155,"generatedAt":156},"pack","zh","教师 \u002F 教育者 AI 备课包 — 从备课到辅导的 10 个工具","Fabric \u002F Mr. Ranedeer \u002F Marp \u002F NotebookLM \u002F Heyform \u002F Moodle \u002F Canvas LMS \u002F Microsoft Study Mode \u002F DeepTutor \u002F Mem0 — 一线教师真正用得上的 AI 全流程套装：备课、讲义、出题、批改、给每个学生一个辅导员。含安装顺序和学生数据隐私（FERPA\u002F合规）提醒。","教师 \u002F 教育者 AI 备课包 — 从备课到个性化辅导","面向已经有教学大纲、手里 130 个学生的老师：10 个工具按顺序装 — 用 prompt 范式备课，用 slide \u002F 学习包工具产出讲义，用问卷 + LMS 做形成性测评，最后用引导式发现型辅导 + 持久记忆给学生兜底，让 AI 不会每次都问同一个学生「你是几年级？」。","## 这个 pack 包含什么\n\n这是真正一线老师的工具栈 — 不是 Pinterest 上「教育 AI」开 30 个 tab 的购物清单。这里每一个都在一周里有具体位置：周一备课、周二到周四上课、周五批改，旁边长期挂一个辅导员，让周三请假的小孩不至于断档。\n\n这个 pack 覆盖**五个工作**，按推荐顺序：备课 → 出讲义 → 出形成性小测 → 放到学校已经在用的 LMS 上 → 部署一个带记忆的个性化辅导员（每个学生的辅导员都「记得」他上次卡在哪）。每个工具要么开源、要么有清晰的免费档。没有一个会在你没明确同意的情况下把学生数据传给不透明厂商。\n\n## 推荐安装顺序（备课 → 讲义 → 出题 → 批改 → 辅导）\n\n1. **Fabric** — 从这里开始。它是一个 AI prompt 范式库（100+ 模式：`summarize`、`extract_wisdom`、`create_quiz`、`write_essay`）。一个 CLI，一致的形状。先用 `extract_wisdom` 跑教材一章 PDF，拿到干净的提纲，再围绕它备课。\n2. **Mr. Ranedeer — Personalized AI Tutor Prompt** — 著名的 GPT 系统提示词，把 ChatGPT\u002FClaude 变成会根据学生语言+水平自适应的辅导员。**先自己 dogfood** — 读三次 Ranedeer 会话，你就知道一个好的 AI 辅导员该长什么样，再让学生用。\n3. **Marp — 从 Markdown 生成幻灯片** — 用纯 Markdown 写课件，导出 PDF\u002FHTML\u002FPPTX。配 Fabric 用：`extract_wisdom chapter.pdf | tee outline.md`，手改成 Marp，30 分钟出 25 张幻灯片。\n4. **notebooklm-py（NotebookLM CLI）** — Google NotebookLM 的回答**只引用你上传的源**（教材、PDF、课堂录音）。CLI 让你脚本化按单元建 notebook，自动生成学习指南、摘要、甚至音频概览，学生坐公交的时候能听。\n5. **Heyform — 开源对话式表单** — 自部署、GDPR 友好的 Typeform 替代品，用来做形成性小测、退出票、单元后调研。条件分支让你能根据答题情况分支问题 — 比 10 道选择题罗列更接近真实测评。\n6. **Moodle — 开源 LMS** — 大多数学校\u002F大学已经接受（或已经在跑）的 LMS。把它当作正式的成绩册，把 Marp 出的 PDF 和 Heyform 链接发布到上面。\n7. **Canvas LMS — 开源 LMS** — 如果你所在学区用 Canvas（美国 K-12 大多用），就以它为集成目标。**装学校已经标准化的那一个**，别为了 AI 把成绩册分裂到第三个工具里。\n8. **Claude Code Agent: Microsoft Study Mode** — 一个 Claude Code agent，用**引导式发现**（苏格拉底式提问，不是直接喂答案）教 Microsoft\u002FAzure 主题。底层范式 — 「问，不要告诉」— 就是你想让学生用的辅导员模板，即使他们学的不是微软栈。\n9. **DeepTutor — AI 个性化学习助理** — 基于你提供的文档做多 agent 辅导。上传一篇论文或一章教材，学生得到交互问答、脚手架式提示、范例讲解。最接近「每个学生都有个随时在线 TA」的开源方案。\n10. **Mem0 — AI 应用的记忆层** — 让 #2\u002F#8\u002F#9 真正个性化的那一块。没有 Mem0（或同类），AI 辅导员每次都问「你现在什么水平？」。有了它，辅导员记得这学生上周四在二次方程上卡住，周二接着这里讲。\n\n## 它们怎么协同\n\n```\n        Fabric  ─────► extract_wisdom \u002F create_quiz 等范式\n           │\n           ▼\n     Marp（幻灯片）──┐\n           +         ├──► 发布到 ──► Moodle \u002F Canvas LMS\n     NotebookLM ─────┘                        │\n     （学习包）                                │\n                                              ▼\n                                     Heyform（形成性小测）\n                                              │\n                                              ▼\n                                       成绩册 + 反馈\n                                              │\n                          ┌───────────────────┴───────────────────┐\n                          ▼                                       ▼\n              Mr. Ranedeer  \u002F  Microsoft Study Mode      DeepTutor\n                   （系统提示词）                   （文档级溯源）\n                          │                                       │\n                          └─────────────► Mem0 ◄──────────────────┘\n                                  （每个学生的持久记忆）\n```\n\n关键链接是 **LMS + Mem0**：LMS 存正式成绩，Mem0 存**非正式上下文**（「Maya 终于会长除法了，别让她重做」）。两个都重要，单独哪个都不够。\n\n## 你会遇到的取舍（AI 批改准确性、FERPA \u002F 学生数据合规）\n\n- **AI 批改 vs 人工批改** — 选择题和短数字题的 AI 批改已经基本解决；**作文 AI 批改没解决**。让 AI 做首遍 rubric 打分 + 评语初稿，然后你手工抽查 20%。**永远不要在你没看过的情况下发 AI-only 的作文分数** — 既不可靠，多数学区也明令不允许。\n- **Moodle vs Canvas** — 选学校已经在跑的那个。两个都好。别为了这个跟 IT 部门斗 — LMS 是管道，不是课堂本身。\n- **Mr. Ranedeer vs DeepTutor** — Ranedeer 是**提示词**，粘到任意 LLM 即用（零安装、零基建，学校的 ChatGPT-EDU 也能跑）。DeepTutor 是**平台**，把回答锚定在你上传的文档上（更好的出处、需要部署）。先用 Ranedeer 学清楚你要什么；需要按单元做源溯源时再上 DeepTutor。\n- **NotebookLM vs 把 PDF 扔给 ChatGPT** — NotebookLM 每一句回答都引你的源，并行内标引用。ChatGPT 会很愉快地编一个听起来对的引文。给学生用的材料，**有溯源 > 流畅**。\n- **自部署 Heyform vs Google 表单** — Heyform 开源、数据你自己掌握；Google 表单一键即用，学校管理员已经信任。退出票用 Forms 没问题；涉及 IEP（个别化教育计划）或敏感反馈的，自部署。\n\n## 常见踩坑（不要过度信任 AI 给学生的反馈）\n\n- **让 AI 辅导员成为学生唯一的反馈来源** — AI 辅导员擅长搭脚手架推进下一步；它**不擅长**发现学生其实已经放弃了。每个单元给每个学生安排一次 5 分钟的真人 check-in。AI 是放大器，不是替身。\n- **不去名化就把学生作业粘进 chat 工具** — 大多数学区有明确规则（美国 FERPA，国内也有相关法规）禁止把可识别的学生数据发给消费级 LLM。粘之前**先去掉姓名 + 学号**，或用学校的企业版（ChatGPT-EDU、Claude for Education 等，附带数据处理协议）。\n- **生成一份 40 题的小测就直接发** — AI 出题经常有 1-2 道歧义题、重复题、或问到还没讲的内容。**每道题都要读过再发**。20 分钟省下一节课的「这题啥意思」。\n- **告诉学生「AI 给你打了 B」** — 即使确实是 AI 打的，把反馈包装成「**我**借助工具看你的作业看到的」。学生对「电脑说」和「我从你作业里看到」反应完全不同。\n- **跳过 Mem0 然后疑惑为啥个性化很浅** — 没有持久记忆，每次会话都是金鱼脑。第一周觉得神奇，第三周学生厌烦于反复自我介绍。**第一天就把记忆层接上**。",[108,111,114,117,120],{"q":109,"a":110},"这些工具用在 13 岁以下学生身上（涉及 COPPA \u002F FERPA）安全吗？","完全取决于你把这些工具指向哪个 LLM。Fabric \u002F Marp \u002F Heyform \u002F Moodle \u002F Canvas 都能在零 LLM 调用、或者本地模型下跑 — 所以天然 FERPA 合规。NotebookLM \u002F Mr. Ranedeer \u002F Microsoft Study Mode \u002F DeepTutor \u002F Mem0 会把数据发给模型厂商，所以你要么 (a) 用学区认证的企业档（ChatGPT-EDU \u002F Claude for Education \u002F Google Workspace for Education，附带数据处理协议），要么 (b) 自己部署本地模型。**不要**把可识别的学生作业粘到消费级 ChatGPT.com 上 — 多数学区政策禁止。",{"q":112,"a":113},"我以前没用过任何一个，全装齐要多久？","现实点说，全部装齐要一个完整周末。但你不必。最小可用三件套：Fabric（一条 `brew install` 或 `pip install`）+ Marp（一个 VS Code 扩展）+ 你学校已经在跑的 LMS。这三个就能让你一个下午把一个单元从备课到上课走完。等你教完一轮、知道辅导员要补哪些洞，再加 #2\u002F#8\u002F#10。",{"q":115,"a":116},"我真的能让 AI 替我批改吗？","不能，这个 pack 也没这么承诺。AI 擅长对客观题做首遍打分（选择 \u002F 短数字 \u002F 代码单元测试），擅长拟评语初稿让你编辑而不是从零写。**老师仍然拥有成绩册条目和给家长的解释**。把 AI 批改当作拼写检查：有用、会错、永远不是最终结论。",{"q":118,"a":119},"为啥 Moodle 和 Canvas 都放在 pack 里 — 它们不是竞品吗？","是竞品，你**只需要一个**。pack 里两个都列是因为选哪个完全取决于你的机构 — Moodle 在美国以外、职业 \u002F 成人教育市场占主导；Canvas 在美国 K-12 和高校占主导。装你学区 \u002F 大学**已经在跑**的那个，忽略另一个。别为了 AI 功能再加第二个 LMS — AI 功能来自 pack 里其他工具，插到哪个 LMS 都行。",{"q":121,"a":122},"今晚我能试的最小版本是什么？","三件，约 90 分钟：Fabric（装好，对一章教材 PDF 跑 `fabric -p extract_wisdom`）+ Marp（装 VS Code 扩展，把 Fabric 输出粘进去，导出 PDF）+ Mr. Ranedeer（把提示词粘到 ChatGPT 或 Claude，自己用它 20 分钟学一个你不擅长的主题）。一个晚上下来你已经：列好了一节课的提纲、做完了讲义初稿、亲自体验过好 AI 辅导员长啥样。LMS \u002F 出题 \u002F 记忆层下个周末再加。",{"@context":124,"@type":125,"name":13,"description":126,"numberOfItems":127,"inLanguage":128},"https:\u002F\u002Fschema.org","ItemList","面向 K-12 教师、高校讲师、线上课程作者的 10 个 AI 工具：覆盖备课、讲义、形成性小测、LMS 托管、以及带持久记忆的个性化辅导。",10,"zh-CN",[130,134,138],{"url":131,"anchor":132,"reason":133},"\u002Fzh\u002Fai-tools-for\u002Fwriting","面向教育者的 AI 写作工具","课程提纲、学习指南、评语初稿与 AI 写作目录重叠",{"url":135,"anchor":136,"reason":137},"\u002Fzh\u002Ftopics","浏览其他主题 pack","还有 AI Agent \u002F MCP 服务器 \u002F 多智能体框架等多个主题 pack",{"url":139,"anchor":140,"reason":141},"\u002Fzh\u002Ffeatured","TokRepo 精选资产","这十个教学工具属于更大的精选目录",[143,147,151],{"claim":144,"source_name":145,"source_url":146},"Mr. Ranedeer 是一段会根据学习者水平、语言和风格自适应的 GPT-4 系统提示词","Mr. Ranedeer AI Tutor GitHub","https:\u002F\u002Fgithub.com\u002FJushBJJ\u002FMr.-Ranedeer-AI-Tutor",{"claim":148,"source_name":149,"source_url":150},"NotebookLM 的回答以用户上传的源为基础并行内引用","Google NotebookLM 官网","https:\u002F\u002Fnotebooklm.google.com\u002F",{"claim":152,"source_name":153,"source_url":154},"FERPA 限制学生教育记录向第三方的共享方式","美国教育部 FERPA 学生隐私指南","https:\u002F\u002Fstudentprivacy.ed.gov\u002Fferpa",900,"2026-05-22T15:30:00Z"]