HIP+AI 2026 HIP+AI 2026

Courageous Minority 勇敢的少数派

Global Teacher Inquiry Community 全球教师探究共同体

We are launching The Courageous Minority: HIP+AI 2026 Global Teacher Inquiry Community, a one-year global community for teachers who want to reimagine learning in the age of AI.

HIP or the Human Interdependence Paradigm is a new education paradigm aimed at shifting the education mindset from meritocracy to human interdependence. HIP focuses on enabling students to personalize their learning so as to discover and develop their interests and passions as well as personal strength so that each person can become uniquely great in their own way.

The HIP+AI teacher community is not a program about using AI to do old schooling more efficiently. It is not about speeding up lesson planning, generating worksheets, or catching students with detection software.

It is about something much more important: helping teachers design learning that matters in a world where AI can do much of the routine academic work schools have traditionally valued.

The community is led by Professor Yong Zhao and will bring together educators from around the world who are ready to experiment, reflect, design, and learn from one another as they make transformative changes in their own controllable spaces.

我们正在发起"勇敢的少数派":HIP+AI 2026 全球教师探究共同体,这是一个为期一年的全球社区,面向希望在 AI 时代重新构想学习的教师。

HIP(人类相互依存范式)是一种新的教育范式,旨在将教育思维从精英主义转向人类相互依存。HIP 致力于让学生个性化学习,发现和发展自己的兴趣、热情和个人优势,使每个人都能以自己独特的方式变得卓越。

HIP+AI 教师社区不是一个关于用 AI 更高效地做旧式教育的项目。它不是关于加速备课、生成练习题或用检测软件抓学生。

它关乎更重要的事情:帮助教师设计在 AI 能完成学校传统看重的大部分常规学术工作的世界中真正有意义的学习。

该社区由赵勇教授领导,将汇聚来自世界各地的教育者,他们准备好在自己可控的空间中进行实验、反思、设计和相互学习,推动变革性的改变。

04–05/2026
Register for an online info session 报名参加线上说明会
Complete the interest form to receive the info session invitation. If interested, you may submit an application after attending the session. 填写兴趣表单以获取说明会邀请。若有兴趣,可在参加说明会后提交申请。
05/2026
Cohort Application Submission & Review 共同体申请提交与审核
Complete the full application by the end of April. Applicants will be notified of next steps in early May. 请在4月底前完成完整申请。申请者将在5月初收到后续通知。
06–07/2026
First Core Team Webinar 核心团队首次线上研讨会
Visitors may join selected sessions. Times will be scheduled based on participants' time zones and may rotate if needed. 访客可参加部分场次。具体时间将依据参与者时区安排,并在需要时轮换。
08–09/2026
Reimagine Learning 重新构想学习
Core team members work collaboratively to explore new learning goals, structures, and possibilities in the age of AI. 核心团队成员将协作探索 AI 时代新的学习目标、结构与可能性。
10–12/2026
Finalize the first design 完成首版设计
Teams consolidate ideas, refine the design, and prepare an initial version for classroom use. 团队整合想法、完善方案,并准备可用于课堂的初始版本。
01–02/2027
Experiment in class 课堂实验
Participants begin trying out their designs in real learning settings and observe how students respond. 参与者开始在真实学习场景中试行其设计,并观察学生反应。
03–04/2027
Redesign Learning 再设计学习
Based on classroom experience, participants revise and strengthen their designs through reflection and collaboration. 基于课堂实践经验,参与者通过反思与协作修订并强化设计。
05/2027
Experiment in class again 再次课堂实验
Participants continue testing their revised approaches and gather further insight from practice. 参与者继续测试修订后的方案,并从实践中获取更多洞见。
05/2027
Reflection 反思总结
The community reflects on the full cycle of design, experimentation, and learning, and considers next steps. 社群将反思设计、实验与学习的完整循环,并思考下一步行动。

What is HIP+AI and Why is it important? 什么是 HIP+AI?为什么它很重要?

HIP+AI stands for the Human Interdependence Paradigm + Artificial Intelligence. It's the idea that as AI becomes more capable, the purpose of education must shift toward what humans do best and what we can only do together.

HIP+AI 代表人类相互依存范式 + 人工智能。其核心理念是:随着 AI 能力日益强大,教育的目的必须转向人类最擅长的事情以及我们只有通过合作才能完成的事情。

HIP is a way of rethinking learning that moves beyond meritocracy and one-size-fits-all schooling. Instead of ranking students against a single standard, HIP starts from the premise that human value is centered in our uniqueness and varied strengths and the value created by contributing in different ways.

HIP 是一种重新思考学习的方式,超越精英主义和一刀切的教育模式。它不再用单一标准来排名学生,而是从以下前提出发:人的价值在于我们的独特性和多样化的优势,以及通过不同方式贡献所创造的价值。

AI can now do many of the routine academic tasks schools have long treated as evidence of learning, such as writing essays, summarizing texts, solving predictable problems, or producing polished presentations. So HIP+AI seeks to expand possibility, extend thinking, guide interpretation and contributions, and ultimately make education more meaningful, more aligned to the ever-changing world we live in, and more human.

AI 现在可以完成学校长期以来视为学习证据的许多常规学术任务。因此,HIP+AI 旨在拓展可能性、延伸思考、引导解读与贡献,最终使教育更有意义、更符合我们不断变化的世界,也更人性化。

Theory Pathway 理论路径
From Critique to Architecture: Reimagining Education in the Age of AI
从批判到建构:AI 时代的教育路径
1
Problem Diagnosis
Artificial Intelligence and Education: End the Grammar of Schooling
Published
Diagnoses the structural limits of conventional schooling and frames the search for a new educational direction under conditions of deep uncertainty.
2
Ecological Framing
Paradigm Shifts in Education: An Ecological Analysis
Published
Establishes an ecological lens for analyzing how curriculum, schooling, and society interact across nested systems.
3
Structural Mechanism
Education Paradigm Shifts in the Age of AI: A Spatiotemporal Analysis of Learning
Published
Proposes Time Available for Autonomy (TAFA) to reveal how educational structures compress or expand learner autonomy across time and space.
4
Value Reorientation
From Meritocracy to Human Interdependence: Redefine the Purpose of Education
Published
Shifts the value basis of education from competitive ranking to human interdependence, redefining what learning is for in the age of AI.
5
Curricular Reconstruction
The Double-Helix Logic of Curriculum: Reframing Universality and Personalization in the Age of Artificial Intelligence
Published
Reconstructs curriculum as a double-helix of universality and personalization, with judgment at the core of learning.
6
System Architecture
A Distributed Architecture Integrating Educational Philosophy and AI-Driven Learning Design: The PDP–ICEE Learning System
Published
Unifies philosophy, design, and computation into a distributed learning architecture for human judgment, evidence formation, and educational self-renewal.
1
Problem Diagnosis
人工智能与教育:终结学校教育的语法
Published
诊断传统学校教育的结构性局限,并在深度不确定条件下为寻找新的教育方向奠定问题框架。
2
Ecological Framing
教育范式转换:一种生态学分析
Published
建立一种生态学视角,用于分析课程、学校教育与社会如何在嵌套系统中相互作用。
3
Structural Mechanism
AI时代的教育范式转换:学习的时空分析
Published
提出“可用于自主的时间”(TAFA),揭示教育结构如何在时间与空间维度上压缩或扩展学习者的自主性。
4
Value Reorientation
从精英主义到人类相互依存:重新定义教育的目的
Published
将教育的价值基础从竞争性排名转向人类相互依存,在 AI 时代重新定义学习的目的。
5
Curricular Reconstruction
课程的双螺旋逻辑
Published
将课程重构为普遍性与个性化的双螺旋结构,并以判断力作为学习的核心。
6
System Architecture
PDP–ICEE 学习系统
Published
将哲学、设计与计算统一为一种分布式学习架构,用于培养人的判断力、证据形成与教育系统的自我更新。

Everything you need to know 你需要了解的一切

This community is for teachers who want to make changes. They understand they may not be able to change the whole system, but they can change what happens in their own learning environments. If you're curious, brave, and ready to try meaningful shifts in your classroom, you're exactly who this is for. All subjects, grade levels, and school systems are welcome.

这个社区面向想要做出改变的教师。他们明白自己可能无法改变整个系统,但可以改变自己学习环境中发生的事情。如果你充满好奇、勇敢无畏、准备好在课堂中尝试有意义的转变,那你就是我们要找的人。所有学科、年级和学校体系都欢迎。

Not at all. This is a community about learning in an age of AI, about reframing the co-learning among teachers and students with AI. But in the process, you and your students will develop better understandings of AI and meaningful uses of AI for learning in the new paradigm of education.

完全不需要。这是一个关于在 AI 时代学习的社区,是关于重新构想教师和学生与 AI 共同学习的方式。但在这个过程中,你和你的学生将更好地理解 AI,并学会在新教育范式下有意义地使用 AI。

We've designed the experience to be ambitious but realistic for working educators. Participants can expect:

  • Monthly online gatherings (1-2 hours each)
  • Two waves of classroom experimentation
  • Possible optional in-person gatherings in Australia, China, and the US at your own cost
  • Opportunities to engage in case studies, research, and collaborative writing

This is a working community, not a passive webinar series. We believe doing is learning. Due to space limitations, missing more than 3 regular sessions may forfeit your spot in the cohort.

我们设计的体验既有抱负又符合在职教育者的实际情况。参与者可以期待:

  • 每月线上聚会(每次1-2小时)
  • 两轮课堂实验
  • 可选的澳大利亚、中国和美国线下聚会(自费)
  • 参与案例研究、学术研究和协作写作的机会

这是一个实践社区,不是被动的网络研讨会系列。我们相信实践即学习。由于名额有限,缺席3次以上常规会议可能会失去队列中的席位。

The initiative runs April 2026 - April 2027. Check the timeline below for detailed milestones and key dates.

项目从2026年4月持续到2027年4月。请查看下方时间线了解详细的里程碑和关键日期。

By the end of the year, you'll have:

  • A better understanding of educational transformation in the age of AI
  • One or more transformative designs of learning you've implemented
  • A global network of colleagues
  • A published case in our shared practice library

到年底,你将拥有:

  • 对 AI 时代教育变革更深入的理解
  • 一个或多个你已实施的变革性学习设计
  • 一个全球同事网络
  • 在我们共享实践库中发表的案例

There is no cost to participate if accepted into the program, but genuine commitment is expected. If you're not able to participate actively or try new approaches in your classroom, this may not be the right moment to join.

Space is limited. Teachers from the same school may apply, but 1-2 spots will be allocated to any single learning institute to ensure a diversity of schools in different countries/regions can participate.

*In-person gathering opportunities are not covered by the program sponsorship. Individuals are responsible for their own travel and accommodation.

如果被录取,参加项目无需费用,但期望真诚的投入。如果你无法积极参与或在课堂中尝试新方法,现在可能不是加入的合适时机。

名额有限。同一学校的教师可以申请,但每所学校将分配1-2个名额,以确保不同国家/地区的学校都能参与。

*线下聚会机会不包含在项目赞助中。个人需自行承担差旅和住宿费用。

Complete the registration form so you can participate in the information session. After the information session, the application form will be provided online.

填写注册表单即可参加信息说明会。说明会结束后,将在线提供正式申请表。

All monthly sessions are recorded, and the community platform supports asynchronous participation. You can still fully participate even if you occasionally miss a live meeting; however, multiple absences (more than 3) may result in forfeit of your place in the cohort. Please communicate with the team if you have extenuating circumstances.

所有月度会议都会录制,社区平台支持异步参与。即使偶尔缺席直播会议,你仍可充分参与;但多次缺席(超过3次)可能导致失去队列席位。如有特殊情况请与团队沟通。

We absolutely want to support teams and schools in their journeys. However, for the first cohort, it is anticipated that only 1-2 participants from any given school will receive a space, so each participant should submit their own interest form.

我们非常希望支持团队和学校的发展旅程。但对于第一批学员,预计每所学校仅有1-2名参与者获得名额,因此每位参与者都应提交自己的意向表单。

The primary language of the program will be English. Given the capabilities of AI in translation, you can still participate even if you don't speak English.

项目的主要语言为英语。鉴于 AI 在翻译方面的能力,即使你不会说英语也可以参与。

We'd love to talk to you about the project! Please reach out to us at yee@eduyee.com. You can also explore our History page to learn more about our past programs.

我们很乐意与你讨论这个项目!请联系我们:yee@eduyee.com。你也可以访问我们的历史页面,了解更多往期项目信息。

Ready to reimagine
education?
准备好重新构想
教育了吗?

Fill out the interest form to join the HIP+AI 2026 Global Teacher Inquiry Community. No AI expertise required. 填写意向表单,加入HIP+AI 2026全球教师探究共同体。无需AI专业知识。

Apply Now 立即报名