Tag: ai-education
All the articles with the tag "ai-education".
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Civil Servants Can't Keep Up With AI? Wrong
I reviewed the AI training project demos at a municipal government's research and evaluation office and wrote ten pages of written comments. Veterans have experience and judgment, and with the right guidance it goes a long way.
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公務員跟不上 AI？其實錯了
替某直轄市政府研考會審查內部同仁的 AI 研習成果發表，寫了十頁書面意見。老鳥的經驗跟判斷力，有正確引導就能發揮巨大價值。
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People Who Scored High on the GMAT Work Noticeably Better With AI
An unwritten observation: people with high GMAT scores collaborate noticeably better with AI. So I wrote two GMAT-style questions about AI ability. How many can you get right?
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GMAT 考高分的人，跟 AI 協作明顯比較好
一個不成文的觀察：GMAT 高分的人跟 AI 協作明顯比較好。於是我出了兩道 GMAT 風格的 AI 能力考題，你能做對幾題？
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You Have to Be in an Industry a Very Long Time to Know Its Real Pain
I rebuilt my main GMAT teaching product with Fable, dug out hidden bugs, improved the algorithm, and came away with two thoughts about building things.
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你要在一個業界打滾非常久，才知道真正的痛點是什麼
用 Fable 翻新 GMAT 教學主力產品，抓出隱藏 bug、改善演算法，順便講兩件做產品的感想。
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AI Will Never Go to Jail for You — I Figured Out What I Want to Teach, Then Got Told I Had Half of It Wrong
Since generative AI arrived I have been asking what AI can never do on a human's behalf. My answer is accountability, because AI does not get sentenced. Then I posted the argument and found out what I had missed about the risk carried by people at the bottom.
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AI 不會代替人去坐牢——我想清楚要教什麼，然後被網友提醒想錯了一半
生成式 AI 之後，我一直在想有什麼是 AI 永遠不能替人類做的。我的答案是「負責」，因為 AI 不會被判刑。但這個論述貼出去之後，我發現自己漏想了基層承擔的風險。
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NT$18,000 a Month for an AI Course: Price and Value Came Apart a While Ago
An AI-course cash grab overheard at a convenience store, set against the two things I can actually show: a SKILL distilled from fifteen years of material, and a mock exam interface pulling past a thousand USD a month. Price tracks marketing, not delivery.
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AI 課一個月一萬八：教學市場的價格跟價值早就脫鉤了
在超商用餐區聽到的 AI 課吸金實況，對照我自己手上兩件真的能驗證的東西：15 年教材蒸餾成的 SKILL，跟每月破千美金的模擬考訂閱。價格反映的是行銷強度，不是交付密度。
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Installing Gemini CLI With Beginners Cures Most Claude Code Ailments
Five steps I walk Claude Code / Codex beginners through when installing the Gemini Antigravity CLI: multimodal use cases, getting comfortable with a CLI, a quick win from voice transcription, and finishing on data governance and local mode.
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帶初學者裝 Gemini CLI，治 Claude Code 百病
帶 Claude Code / Codex 初學者裝 Gemini Antigravity CLI 的五個步驟：從多模態 use case、CLI 介面的心理建設、語音轉錄的 quick win，一路帶到資料治理與本機模式。
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Four Things I Have Learned from Teaching AI
Recent corporate workshops reinforced four lessons for me: teach in person when possible, cut the slide count, show smart people the result first, and let students do the work.
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最近教 AI 課學到的四件事
最近幾次企業培訓讓我重新確認四件事：實體課更好掌握節奏、投影片要做減法、聰明人先看結果，以及學員真正需要的是放手實作。
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A Few Months of AI Teaching Content: What Gets Traffic and What Doesn't
Traffic observations after a few months of AI teaching content — the lecture overflowed, the job-search demo got the most questions, the concept I thought mattered most pulled the least, and the Obsidian video went against the wind.
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The Teleprompter That Saved My English-Only Teaching, and the Open-Source AI Meeting Copilot I'm Evaluating
My everyday English is fine, but teaching entirely in English I freeze up on the deep stuff — a teleprompter rescued me. Plus notes on Natively, the open-source AI meeting copilot I am evaluating.
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做 AI 教學內容幾個月：什麼有流量、什麼沒有
做 AI 教學內容幾個月下來的流量觀察：講座爆滿、求職示範片最多人問、重要的進階觀念反而流量差、逆風發 Obsidian 影片。
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全英文授課的提詞器救星，以及我正在評估的開源 AI Meeting Copilot「Natively」
日常英文口語沒問題，但全英文授課講深度想法時就卡彈——提詞器救了我。順便整理我正在評估的開源 AI meeting copilot「Natively」。
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MBA × AI Case Method—avoiding HBS licensing risk, finding open case materials, training seed instructors
2026-05 investigation into doing case-based AI teaching for business courses. HBS / HBR cases carry licensing risk. Maps the open alternatives (UBC Open Case Studies, OpenCaseStudies.org, World Bank), what's off-limits, and the direction of training MBA-background seed instructors.
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MBA × AI Case Method——避開 HBS 授權風險、找開源案例素材、訓練種子教師
想做商業 AI 課程的案例教學，但 HBS / HBR cases 有授權風險。這篇整理 2026-05 調查的開源案例來源（UBC Open Case Studies、OpenCaseStudies.org、World Bank）、不能用的清單，以及訓練 MBA 背景種子教師的方向。
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Reflection after a 200-person online AI lecture—the energy of the classroom 10 years ago, back again
This morning I ran a 200-person free online AI lecture. So happy. 450+ signups, attendance around 45%, but landing on Mother's Day midday and still hitting that—Zoom data showed average seat-time over 75%, and FAQ ran so long I answered for an extra half hour.
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200 人線上 AI 講座結束後的感言——10 年前實體教室那種時光，又回來了
今天早上辦了一場 200 人的免費 AI 線上講座，好開心。報名人數 450+，出席率大概 45%，但是撞到母親節中午還能有這種成績，Zoom 數據拉下來發現留座時間平均超過 75%，FAQ 踴躍到多回答了半小時問題。
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Teaching non-technical people AI: five things the tech world assumes everyone knows
One student was a seasoned HR consultant who managed all her files across several USB drives and had never heard of an API. Here are five knowledge gaps that show up constantly when teaching AI tools outside the tech world — and what actually works.
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帶麻瓜學 AI：技術圈習以為常、但他們從來不知道的五件事
一位企業人資顧問、USB 隨身碟管理所有檔案、從來不知道 API 是什麼。這是在技術圈外推廣 AI 工具時，你會真實碰到的起點。五個知識落差，以及我現場用的方法。
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A Teacher's Responsibility: How a 15-Year Cram School Instructor Sees AI-Era Course Quality
When students have the wrong expectations, instructors are often also failing. After 15 years in cram schools and recent experience teaching Claude Code, a few thoughts on course quality basics, teacher responsibility, and the most practical one-word answer for a cram school going AI.
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教學者的責任心：15 年補教老師怎麼看 AI 時代的課程品質
當學員有錯誤期待時，授課者也常常不及格。15 年補教經驗加上最近試教 Claude Code 的觀察，聊一下教學品質的基本盤、老師的責任心、以及補習班 AI 轉型最實用的一句答案。
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Claude Code Workshop Prep Notes: Teaching Non-Coders to Go Terminal-First
Designing a Claude Code workshop for non-engineers — from analyzing signup demand to crafting the curriculum, plus 15 quick-start tips for zero-coding-background learners.
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Claude Code 工作坊備課日誌：帶零基礎學員直上終端機
規劃一場給非工程師的 Claude Code 工作坊，從報名需求分析到教學設計，再到 15 條速成心法的完整備課歷程。
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Critical Thinking in the AI Era: Playing Dumb, the Feynman Method, and What Future Talent Looks Like
AI won't replace your thinking, but it will expose the fact that you can't think. From rediscovering how to learn through AI interactions, to the growing demand for "AI collaboration skills" in exams and workplaces — observations from an educator.
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AI 時代的思考力：裝傻狂問、費曼學習法，與未來人才的樣子
AI 不會取代你的思考，但會暴露你不會思考。從跟 AI 互動中重新發現的學習態度，到未來考試與職場對「AI 協作力」的需求，一個教學者的觀察。
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How Teachers Can Embrace AI Without Getting Replaced
A 15-year teaching veteran shares how AI reignited his passion for teaching, how to build an AI clone of yourself, open-source your knowledge, and why "teachers who use AI" are the real threat.
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教學者如何擁抱 AI 而不被取代
一個教學從業 15 年的人，分享如何用 AI 重燃教學熱情、建立教學分身、開源知識庫，以及為什麼「會用 AI 的老師」才是真正的威脅。