An AI Tutor for Every K12 Student 讓每位 K12 學生
都擁有一位專屬 AI 老師

The Two-Sigma Problem兩個標準差之問

Forty years ago, educational psychologist Benjamin Bloom posed an unsolved question: a child receiving one-on-one tutoring scores, on average, two standard deviations higher than a child in a classroom. We know how to teach better — we just couldn't afford to give every child a tutor. Until now. 四十年前，教育心理學家 Benjamin Bloom 留下一道未解之題：接受一對一輔導的孩子，平均成績比班級授課高出兩個標準差。我們知道怎麼讓孩子學得更好，卻無法為每個孩子配備一位老師——直到 AI 出現。

A Day in the Life學生的一天

Meet a Grade 7 student preparing for her geometry chapter on parallel lines. Her mastery sits at 62%, and her last three errors all involve auxiliary lines. Here is how LightAcade walks with her, minute by minute. 一位七年級學生正在學習平行線一章。她的掌握度為 62%，最近三次錯題都與「輔助線」有關。以下是 LightAcade 如何一分鐘一分鐘陪伴她。

Four Levels of Intervention四級教學干預

When a student gets stuck, LightAcade does not throw a "you can do it" sticker. It escalates — through four progressively richer modalities, each backed by a dedicated AI engine, each ending in human teacher hand-off if needed. 當學生卡關，LightAcade 不會彈出「加油」貼紙，而是逐級升級輔導手段——四種逐步豐富的形式，每一級由專屬 AI 引擎支援，最終可無縫交接予真人教師。

Material Pipeline — One Upload, Nine Outputs素材管線｜一次上傳，九種素材

A teacher uploads one chapter PDF. LightAcade's material engine fans it out into nine pedagogically distinct artefacts — each tied back to the source, each awaiting a one-minute teacher review before reaching students. 教師上傳一份教材 PDF，LightAcade 的素材引擎將其展開為九種教學上各有用途的素材——每一份都可追溯回原文，等待教師一分鐘審核後送達學生。

★ Each artefact is generated by an independent worker, validated cross-model, and surfaced to the teacher in a one-tap review queue.
★ 每一份素材由獨立工作者生成，經跨模型驗證，並進入教師一鍵審核隊列。

The Teacher's Dashboard教師工作台

What teachers see is not a list of grades. It is a live map of thirty-two children's learning trajectories — who broke through this week, who's been stuck three days running, where AI has done all it can and where a human conversation must take over. 教師看見的不是成績單，而是 32 個孩子學習軌跡的即時地圖——誰本週突破、誰連續三天卡關、AI 哪些可介入、哪些必須留給真人對話。

Why Quality Holds at Scale規模化品質防護

AI generation can drift, hallucinate, leak answers, or render broken animations. LightAcade defends against each failure mode with three layers of independent verification before any artefact reaches a student. AI 生成可能漂移、幻覺、洩露答案、產出錯誤動畫。LightAcade 透過三層獨立驗證，於素材送達學生前逐一防範各類失敗模式。

Product Showcase產品實例展示

Real artefacts produced by LightAcade's AI engines — animation, infographic, and a full set of NotebookLM-style derivative materials, all generated from a single Grade 7 geometry chapter on parallel lines. 以下為 LightAcade AI 引擎實際產出的素材——動畫、資訊圖表，以及完整的衍生學習素材，皆由一份七年級「相交線與平行線」教材自動生成。

Material Engine — Auto-Generated Infographic素材引擎｜自動生成資訊圖表

A single-image overview of "parallel lines and angles," generated from the source PDF and reviewed by the teacher in under a minute.
「平行線與角的關係」單圖概覽，由原教材 PDF 自動生成，教師一分鐘內完成審核。

Click to view full-size · 點擊放大檢視

Three Surfaces, One Learner Profile三端通用，同一份學習畫像

At the desk, on the couch, in the school corridor — students switch surfaces; LightAcade picks up exactly where they left off, with the same AI tutor, the same memory. 書桌前、客廳沙發、上學途中——學生切換設備，LightAcade 從上次中斷處繼續，由同一位 AI 老師陪伴，記憶連續不斷。

2026 Spring Pilot2026 春季試點計劃

We are recruiting our first cohort of pilot partners — K12 schools, after-school programs, and parent communities — to walk together through the 2026 spring semester. 我們正在招募 2026 春季學期首批試點夥伴——K12 學校、課後輔導機構、家長社群——一同走過這個學期。

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