What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study
Humanities and Social Sciences Communications
DOI ↗ 104 citations被引 104 次
Haoming Wang王浩名
We have no reinforcements, but ourselves.我们没有援军，唯有自己。
PhD Student · School of Education 博士生 · 教育学院
Advised by HAN Xibin and Lixiang YAN 导师：HAN Xibin 与 Lixiang YAN
01
About this researcher 关于这位研究者
I am Haoming Wang, a 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，清华大学教育学院博士生。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。
2026-Present2026 年至今 Tsinghua University清华大学
PhD Study博士学习 Advised by HAN Xibin and Lixiang YAN at the School of Education.在教育学院师从 HAN Xibin 与 Lixiang YAN。
Highlights重点
- Milestone阶段 PhD study at the School of Education, Tsinghua University.清华大学教育学院博士阶段学习。
- Advisors导师 Advised by HAN Xibin and Lixiang YAN.师从 HAN Xibin 与 Lixiang YAN。
- Focus方向 Researching agentic AI, learning sciences, and AI in education.聚焦 agentic AI、学习科学与 AI 教育。
Jul 20252025 年 7 月 The Chinese University of Hong Kong香港中文大学
Short-term Academic Visit短期访学 Academic exchange on STEAM education, AI-supported learning, and educational innovation.围绕 STEAM 教育、AI 支持学习与教育创新开展短期学术交流。
Highlights重点
- Visit访学 Short-term academic visit at The Chinese University of Hong Kong.香港中文大学短期访学。
- Focus方向 Academic exchange on STEAM education, AI-supported learning, and educational innovation.围绕 STEAM 教育、AI 支持学习与教育创新开展学术交流。
Jun 20252025 年 6 月 University of Helsinki赫尔辛基大学
Short-term Academic Visit短期访学 Short-term scholarly exchange in learning sciences and technology-enhanced education.围绕学习科学与技术增强教育开展短期学术交流。
Highlights重点
- Visit访学 Short-term academic visit at the University of Helsinki.赫尔辛基大学短期访学。
- Focus方向 Scholarly exchange in learning sciences and technology-enhanced education.围绕学习科学与技术增强教育开展学术交流。
May 20252025 年 5 月 The University of Hong Kong香港大学
Short-term Academic Visit短期访学 Academic exchange on AI in education and learning sciences with scholars in Hong Kong.围绕 AI 教育与学习科学开展短期学术交流。
Highlights重点
- Visit访学 Short-term academic visit at The University of Hong Kong.香港大学短期访学。
- Focus方向 Academic exchange on AI in education, learning analytics, and learning sciences.围绕 AI 教育、学习分析与学习科学开展学术交流。
Aug 20242024 年 8 月 NYU Shanghai上海纽约大学
N.E.T Summer CampN.E.T Summer Camp 学术训练 Academic training and exchange in an international learning environment.在国际化学习环境中进行学术训练与交流。
Highlights重点
- Visit访问 International summer academic training and research exchange at NYU Shanghai.在上海纽约大学参加国际化暑期学术训练与交流。
- Focus方向 Expanded research perspective across educational technology and global learning environments.拓展教育技术与国际化学习环境相关研究视角。
Sep 2023 - Jun 20262023 年 9 月 - 2026 年 6 月 East China Normal University华东师范大学
Master's Study硕士学习 Supervised by Xianlong Xu; focused on AI-agent-supported learning and agentic AI in education.师从 Xianlong Xu，聚焦 AI 智能体支持学习与教育中的 agentic AI。
Highlights重点
- Funding资助 National Scholarship: RMB 20,000; additional master's funding: RMB 23,000.研究生国家奖学金 2 万元；其他硕士阶段资助累计 2.3 万元。
- Honors荣誉 Outstanding Student, Outstanding Student Cadre, and Shanghai Outstanding Graduate.获优秀学生、优秀学生干部、上海市优秀毕业生等荣誉。
- Projects项目 Led or participated in ECNU-level projects on AIGC, metaverse learning spaces, and AI-agent-supported learning.参与/承担 AIGC、元宇宙学习空间与 AI 智能体支持学习相关校级课题。
Sep 2019 - Jun 20232019 年 9 月 - 2023 年 6 月 Zhejiang University of Technology浙江工业大学
Undergraduate Study本科学习 Built the computing foundation behind my later AI and education research.建立后来开展 AI 与教育研究的计算能力基础。
Highlights重点
- Awards竞赛 ACM-ICPC Asia Regional medals, CCPC medals, and national/provincial algorithm awards.获得 ACM-ICPC 亚洲区域赛、CCPC 及国家/省级算法竞赛奖项。
- Honors荣誉 Outstanding University Graduate, Outstanding Student, and student leadership honors.获校级优秀毕业生、优秀学生及学生骨干类荣誉。
- Funding资助 Cumulative undergraduate scholarships: RMB 20,000, including Zhejiang Provincial Government and ZJUT scholarships.本科阶段奖学金累计 2 万元，包括浙江省政府奖学金与浙江工业大学校级奖学金。
Jul 20172017 年 7 月 Zhejiang University of Finance & Economics浙江财经大学
Algorithmic Problem-Solving Summer Institute暑期竞赛集训 An early intensive training period in algorithmic thinking and competitive programming.早期算法思维与程序设计竞赛训练。
Highlights重点
- Training训练 Early intensive training in algorithmic thinking and contest programming.早期算法思维与程序设计竞赛集训。
- Foundation基础 Built the problem-solving foundation that later shaped my computational research style.建立后来影响我计算研究方式的问题求解基础。
Impact of AI-agent-supported collaborative learning on the learning outcomes of University programming courses
Education and Information Technologies
DOI ↗ 84 citations被引 84 次
Breaking the boundaries of conventional vocabulary learning: intelligent interactive companion in CAVL environments
Computer Assisted Language Learning
DOI ↗ 10 citations被引 10 次
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Research interests 研究方向
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。
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。
— 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
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