i.
Agentic AI in Education教育中的智能体（Agentic AI）
Autonomous, goal-directed agents that plan, act, and adapt as genuine partners in teaching and learning, grounded in educational theory.
能够自主规划、行动与调整的目标导向智能体，作为真正的教学伙伴，并植根于教育理论。
Haoming Wang王浩名
“We have no reinforcements, but ourselves.我们没有援军，唯有自己。”
Tsinghua University清华大学
Incoming PhD · School of Education · 2026准博士生 · 教育学院 · 2026
01
About this researcher 关于这位研究者
I am Haoming Wang, an incoming PhD student at the School of Education, Tsinghua University. My research sits at the intersection of artificial intelligence and education, with a focus on agentic AI, multi-agent systems, and large language models as genuine partners in learning.
I came to this field from competitive programming. Years of contest training earned me national awards across ACM-ICPC and CCPC regionals, alongside honors in algorithm challenges. That habit of build, test, refine, repeat is still how I approach research today.
My current work centers on AI-agent empowerment in education: intelligent assistants that adapt to learner needs while holding firmly to pedagogical and ethical standards. I care less about whether AI can enter a classroom than about how and when it should, binding technology to educational theory tightly enough that the impact is real and lasting.
我是王浩名，即将入读清华大学教育学院博士项目。我的研究处在人工智能与教育的交叉地带——尤其关注智能体（agentic AI）、多智能体系统，以及作为真正"学习伙伴"的大语言模型。
我从竞赛编程走入这一领域。多年训练为我赢得了 ACM-ICPC、CCPC 等多项国家级奖项，以及算法竞赛中的荣誉。"构建、测试、打磨、迭代"——这一习惯至今仍是我做研究的方式。
我当前的工作聚焦于教育中的智能体赋能：让智能助手既贴合学习者需求，又坚守教学法与伦理底线。比起 AI 能否进入课堂，我更关心它应当在何时、以何种方式进入——把技术与教育理论牢牢绑定，让影响真实而持久。
02
Research interests 研究方向
ii.
AI-Assisted & Personalized LearningAI 辅助与个性化学习
Adaptive tutors that respect learner proficiency, style, and emotional state, all without flattening the experience.
尊重学习者水平、风格与情绪状态的自适应导师，而不抹平学习体验。
iii.
Multi-Agent Systems for Learning多智能体系统
Building agent-based learning systems such as AI-Agent School, where teams of agents collaborate to support and scaffold learners.
构建基于多智能体的学习系统（如 AI-Agent School），让智能体团队协作，为学习者提供支持与认知支架。
iv.
Educational Data Mining & XAI教育数据挖掘
Mining large-scale assessment data such as PISA, with explainable AI to surface what really drives learning outcomes.
对 PISA 等大规模测评数据进行挖掘，并借助可解释 AI（XAI）揭示影响学习成效的关键因素。
What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study
Humanities and Social Sciences Communications
DOI ↗ 87 citations被引 87 次
Impact of AI-agent-supported collaborative learning on the learning outcomes of University programming courses
Education and Information Technologies
DOI ↗ 39 citations被引 39 次
Breaking the boundaries of conventional vocabulary learning: intelligent interactive companion in CAVL environments
Computer Assisted Language Learning
DOI ↗ 1 citation被引 1 次
May 20262026 年 5 月
milestone里程碑
Admitted to Tsinghua University, beginning doctoral studies this autumn.
获 清华大学 录取——今秋开始博士研究。
Nov 20252025 年 11 月
conference会议
Poster presentation at EMNLP 2025 in Suzhou, China.
在中国苏州的 EMNLP 2025 进行海报展示。
Sep 20252025 年 9 月
award奖项
Awarded the National Scholarship (Top 2% of Postgraduates).
获 国家奖学金（研究生前 2%）。
Jun 20252025 年 6 月
conference会议
Presented at ISLS 2025 Annual Meeting in Helsinki, Finland and AERA 2025 in Colorado, USA.
在芬兰赫尔辛基的 ISLS 2025 年会与美国科罗拉多的 AERA 2025 作报告。
— L E T U S T A L K— 联 系 我
Open to collaborations,
student inquiries, & thoughtful conversation. 欢迎合作、学生咨询，
以及一切有深度的交流。
Email邮箱
wfrank0222@gmail.com
ORCID
0000-0003-1577-1628
ResearchGate
Haoming-Wang-15
WeChat微信
whmtech · tap for QRwhmtech · 点击看二维码
