An AI Tutor for Every K12 Student 让每位 K12 学生
都拥有一位专属 AI 老师

The Two-Sigma Problem两个标准差之问

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，教育心理学家 Benjamin Bloom 留下一道未解之题：接受一对一辅导的孩子，平均成绩比班级授课高出两个标准差。我们知道怎么让孩子学得更好，却无法为每个孩子配备一位老师——直到 AI 出现。

A Day in the Life学生的一天

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. 一位七年级学生正在学习平行线一章。她的掌握度为 62%，最近三次错题都与「辅助线」有关。以下是 LightAcade 如何一分钟一分钟陪伴她。

Four Levels of Intervention四级教学干预

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. 当学生卡关，LightAcade 不会弹出「加油」贴纸，而是逐级升级辅导手段——四种逐步丰富的形式，每一级由专属 AI 引擎支援，最终可无缝交接予真人教师。

Material Pipeline — One Upload, Nine Outputs素材管线｜一次上传，九种素材

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. 教师上传一份教材 PDF，LightAcade 的素材引擎将其展开为九种教学上各有用途的素材——每一份都可追溯回原文，等待教师一分钟审核后送达学生。

★ Each artefact is generated by an independent worker, validated cross-model, and surfaced to the teacher in a one-tap review queue.
★ 每一份素材由独立工作者生成，经跨模型验证，并进入教师一键审核队列。

The Teacher's Dashboard教师工作台

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. 教师看见的不是成绩单，而是 32 个孩子学习轨迹的即时地图——谁本周突破、谁连续三天卡关、AI 哪些可介入、哪些必须留给真人对话。

Product Showcase产品实例展示

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. 以下为 LightAcade AI 引擎实际产出的素材——动画、资讯图表，以及完整的衍生学习素材，皆由一份七年级「相交线与平行线」教材自动生成。

Material Engine — Auto-Generated Infographic素材引擎｜自动生成资讯图表

A single-image overview of "parallel lines and angles," generated from the source PDF and reviewed by the teacher in under a minute.
「平行线与角的关系」单图概览，由原教材 PDF 自动生成，教师一分钟内完成审核。

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Why Quality Holds at Scale规模化品质防护

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、幻觉、泄露答案、产出错误动画。LightAcade 透过三层独立验证，于素材送达学生前逐一防范各类失败模式。

Three Surfaces, One Learner Profile三端通用，同一份学习画像

At the desk, on the couch, in the school corridor — students switch surfaces; LightAcade picks up exactly where they left off. 书桌前、客厅沙发、上学途中——学生切换设备，LightAcade 从上次中断处继续。

2026 Spring Pilot2026 春季试点计划

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. 我们正在招募 2026 春季学期首批试点伙伴——K12 学校、课后辅导机构、家长社群——一同走过这个学期。

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