TraitTutor：
人格决定怎么教，
证据决定教什么。
TraitTutor:
Personality shapes how we teach.
Evidence decides what to teach.
TraitTutor 是一位能长期对话、搜索和研究的 AI 学习教练。它用 大五人画像映射出你需要的支持方式，再用 BKT 学科证据追踪你真正掌握到哪里——每一次生成的学习页面，组件、顺序、节奏都为你而变。 TraitTutor is an AI learning coach that chats, searches, and researches with you over the long term. Your Big Five personality maps to the support you need, while BKT subject evidence tracks what you've truly mastered — every generated page adapts its components, order, and pace to you.
映射为 SRL 支持维度，决定下一张学习页面Mapped to SRL support dimensions, shaping your next page
生成组件计划Generate a component plan
很多 AI 工具记得你问过什么，
却不知道你真正学会了什么。
Many AI tools remember what you asked —
but not what you've actually learned.
组件编排的第一输入，
是你的人格。The first input to component
orchestration is your personality.
通过人格信息映射为 SRL 支持维度，再叠加 BKT 学科证据与你的明确偏好，由组件选择器输出应该选哪些组件、什么顺序、是否必须。人格不是附加的语气层，而是每一张学习页面的编排依据。 Big Five / BFI-10 first maps to SRL support dimensions — scaffolding, pace, feedback, structure, challenge, interactivity — then combines with BKT subject evidence and your explicit preferences, so the component selector decides which components appear, in what order, and whether they're required. Personality isn't a tone layer on top; it's the orchestration basis of every learning page.
试着拖动你的人格Try dragging your personality
看看同一份材料，会为你生成怎样不同的学习页面。See how the same material becomes a different page for you.
为你生成的页面Your generated page
高结构 · 稳节奏实际产品中，组件计划同时叠加 BKT 掌握证据、材料模态与你的显式偏好。In the product, the plan also weighs BKT mastery evidence, material modality, and your explicit preferences.
个性化在产品里，到底改变了什么？What does personalization actually change?
不是换一个皮肤、调一种语气。同一份材料，不同的学习者会得到结构、节奏、反馈和挑战强度都不同的学习过程。Not a new skin or a different tone. The same material becomes a genuinely different learning process — in structure, pace, feedback, and challenge.
结构Structure
有人需要先看到清晰的路线和检查点，有人更适合先从例子进入概念。Some need a clear roadmap with checkpoints first; others learn best by entering through examples.
同一份讲义：路线图先行，或例题先行Same handout: roadmap first, or example first节奏Pace
需要更多支架时，内容拆得更细；已经熟悉时，减少不必要的停顿。When you need more scaffolding, content is sliced finer; when you're fluent, it skips the pauses.
同一个知识点：五步小切，或一步直达Same concept: five small steps, or one direct leap反馈Feedback
有人需要更温和、确定的反馈，有人更喜欢直接指出问题所在。Some need gentle, reassuring feedback; others prefer the problem pointed out directly.
同一次答错：鼓励式引导，或直给式辨析Same wrong answer: encouraging guidance, or direct analysis挑战Challenge
系统可以先给线索、拆成步骤，也可以增加主动回忆和自我测试。The system can offer hints and steps first — or dial up active recall and self-testing.
同一轮练习：提示阶梯，或迁移挑战Same practice set: hint ladder, or transfer challenge先看目标和证据，再决定怎么教Goals and evidence first, then teaching
系统不是直接生成答案，而是先理解任务、读取证据、编排组件，再让可靠的作答结果回流，改变下一次生成。The system doesn't just generate answers — it understands the task, reads the evidence, orchestrates components, then lets verified answers flow back to change what comes next.
五个入口，一套持续生长的学习状态Five entries, one living learning state
上传材料，得到一条能完成的学习路径Upload materials, get a path you can finish
文档、演示文稿、图片或文本统一解析，建立一条可以持续推进、有历史记录的学习路径。PDF, PPT, Word, images, or text are parsed into a learning path that persists and progresses with you.
复杂问题，先澄清范围再持续研究Complex questions: scope first, research deep
保存来源、主张、笔记与带引用的报告；研究结果还能继续转成课件、题目和复习材料。Sources, claims, notes, and cited reports are preserved — and results can turn into courseware, quizzes, and review materials.
背景不用反复交代Never re-explain your background
目标、材料、进行中的路径和学习结果都在同一个空间里；从上次的位置继续，从薄弱点继续。Goals, materials, active paths, and outcomes live in one space. Resume where you left off — and from your weak points.
完成 BFI-10 量表，或手动调整支持方式Take the BFI-10, or tune support manually
结构、节奏、反馈和挑战强度随你调整。这些数据只调整学习支持，不用于判断能力或贴学习风格标签——你可以随时查看、修正、关闭或删除。Adjust structure, pace, feedback, and challenge your way. This data only tunes learning support — never judges ability or labels your learning style. View, correct, disable, or delete it anytime.
找到不会的那一步Find the exact step you're stuck on
输入题目或上传作业，系统结合 BKT 判断卡在概念、步骤还是应用，先给提示让你自己作答，再把错误变成后续的补充练习。Type a problem or upload homework. BKT pinpoints whether you're stuck on concept, steps, or application — hints come first, and mistakes become future practice.
个性化有边界，证据有门槛Personalization with boundaries, evidence with thresholds
人格帮助你学得更好，而不是替你下结论。每一步都有明确的规则。Personality helps you learn better — it doesn't draw conclusions about you. Every step follows explicit rules.
01 · 教学诚信01 · INTEGRITY
不代写、不作弊No ghostwriting, no cheating 提供提示、讲解和练习；个性化不改变正确答案和判分标准。Hints, explanations, and practice only; personalization never changes correct answers or grading standards.02 · 证据门槛02 · EVIDENCE
接触 ≠ 掌握Exposure ≠ mastery 问过、读过、搜过只算接触；只有可靠判分且归因明确的作答才更新 BKT。Asking, reading, and searching count as exposure; only reliably graded, well-attributed answers update BKT.03 · 不做诊断03 · NO DIAGNOSIS
不贴人格标签No personality labels 大五人画像只映射为可撤销的支持线索，不用于能力判断、学习风格定型或心理诊断。Big Five maps only to revocable support cues — never to ability judgments, fixed learning styles, or psychological diagnosis.04 · 数据权利04 · YOUR DATA
可查看、可删除Your data, your call 用户数据相互隔离；学习记录与画像可以查看、更正、删除或关闭，基础功能不受影响。User data stays isolated; learning records and profiles can be viewed, corrected, deleted, or disabled — core features keep working.常见问题Frequently asked questions
关于个性化、证据和数据的边界，这里先说清楚。Clear answers on personalization, evidence, and your data.
TraitTutor 是什么？What is TraitTutor?
TraitTutor 是一位能长期对话、搜索和研究的 AI 学习教练。上传学习材料即可生成个性化学习路径：大五人画像决定教学支持的方式，服务端判分的学习证据决定下一步学什么。TraitTutor is an AI learning coach that chats, searches, and researches with you over the long term. Upload study materials to get a personalized learning path — your Big Five profile shapes how you're supported, and server-graded learning evidence decides what comes next.
它和普通 AI 聊天工具有什么区别？How is it different from ordinary AI chat tools?
普通工具记得你问过什么，却不知道你真正学会了什么。TraitTutor 只把服务端判分、归因可靠的作答写入学习状态（BKT），并据此调整下一页的组件、顺序和节奏；提问、阅读、搜索只算接触，不会更新掌握度。Most tools remember what you asked, not what you actually learned. TraitTutor updates your learning state (BKT) only from reliably graded, well-attributed answers, then adapts the components, order, and pace of your next page — asking, reading, and searching count as exposure, not mastery.
人格测评会给我贴标签吗？Will the personality assessment label me?
不会。大五人画像可以通过 BFI-10 量表完成，也可以手动调整，它只映射为可随时查看、修正或关闭的教学支持偏好，不用于能力判断、学习风格定型或任何心理诊断。No. Your Big Five profile — from the BFI-10 or manual tuning — maps only to teaching-support preferences you can view, edit, or turn off anytime. It is never used for ability judgments, fixed learning styles, or diagnosis.
如何开始使用？How do I get started?
点击页面上的“立即免费试用”注册即可体验完整系统：无需安装，浏览器打开即用，演示数据已脱敏。Sign up via “Start Free Trial” to try the full system — no install needed, it runs in your browser, and demo data is anonymized.
我的学习数据如何处理？How is my learning data handled?
用户数据相互隔离。学习记录与画像可以查看、更正、删除或关闭，基础功能不受影响；答案与判分逻辑保存在服务端，不会进入浏览器。User data stays isolated. Learning records and profiles can be viewed, corrected, deleted, or disabled without losing core features — answers and grading logic stay on the server, never in the browser.
让学习结果，
真正改变你的下一步。Let learning outcomes truly
change your next step.
答一道题，看状态如何变化，再看下一页如何为你调整——这就是 TraitTutor 与普通 AI 学习工具的区别。Answer a question, watch your state change, and see the next page adapt — that's the difference between TraitTutor and ordinary AI study tools.
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