🤖 智能教育研究简报

报告日期: 2026-03-29
数据来源: arXiv + 17个教育技术核心期刊RSS + GitHub Trending
论文总数: 45 篇 (arXiv 26 + 期刊 19)
GitHub项目: 15 个
🔬 建议深读: 10 篇

📚 arXiv 重点论文

1. From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring

🔬 作者: Nizam Kadir
📅 发表: 2026-03-25
💡 摘要: Monolithic LLM拆分为多个专业LLM组合，实现可解释的自适应教学编排
🔗 链接: https://arxiv.org/abs/2603.119xx

2. CyberJustice Tutor: An Agentic AI Framework for Cybersecurity Learning via Think-Plan-Act Reasoning and Pedagogical Scaffolding

🔬 作者: Baiqiang Wang, Yan Bai, Juan Li
📅 发表: 2026-03-19
💡 摘要: 基于Think-Plan-Act推理和教学脚手架的网络安全学习Agentic AI框架
🔗 链接: https://arxiv.org/abs/2603.107xx

3. When AI Meets Early Childhood Education: LLMs as Assessment Teachers in Chinese Preschools

🔬 作者: Xingming Li, Runke Huang et al.
📅 发表: 2026-03-07
💡 摘要: 针对中国3600万儿童、25万+幼儿园的师幼互动(TCI)评估难题，提出基于LLM的自动化评估系统
🔗 链接: https://arxiv.org/abs/2603.xxxxx

4. Rewarding How Models Think Pedagogically: Integrating Pedagogical Reasoning and Thinking Rewards for LLMs in Education

🔬 作者: Unggi Lee, Jiyeong Bae et al.
📅 发表: 2026-01-20
💡 摘要: 整合教学推理与思维奖励信号用于教育LLM训练，提出教学推理奖励的新方法
🔗 链接: arxiv-2601-pedagogical-reasoning

5. Problems With LLMs for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12

🔬 作者: Danial Hooshyar, Yeongwook Yang et al.
📅 发表: 2025-12-28
💡 摘要: LLM单独用于K-12学习者建模的局限性——为何不足以实现负责任的辅导
🔗 链接: arxiv-2512-learner-modelling

6. Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12 Education

🔬 作者: Danial Hooshyar, Yeongwook Yang et al.
📅 发表: 2025-12-28
💡 摘要: LLM单独用于K-12学习者建模的局限性——为何LLM alone不足以实现负责任的辅导
🔗 链接: https://arxiv.org/abs/2512.xxxxx

7. The Landscape of AI in Science Education: What is Changing and How to Respond

作者: N/A
📅 发表: 2026-03-26
💡 摘要: 探讨人工智能在科学教育中的变革性角色及如何应对变化
🔗 链接: https://arxiv.org/abs/2603.145xx

8. Is Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment Performance?

作者: Liang Zhang, Yu Fu, Xinyi Jin
📅 发表: 2026-03-26
💡 摘要: 探讨LLM的数学专家能力与其评估表现之间的关联性
🔗 链接: https://arxiv.org/abs/2603.144xx

9. Offline-First Large Language Model Architecture for AI-Assisted Learning with Adaptive Response Levels in Low-Connectivity Environments

作者: Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona
📅 发表: 2026-03-24
💡 摘要: AI and large language models for low-connectivity adaptive learning environments
🔗 链接: https://arxiv.org/abs/2602.15583

10. Privacy by Design Framework for LLM-Based Applications for Children

作者: Diana Addae, Diana Rogachova et al.
📅 发表: 2026-02-19
💡 摘要: 儿童LLM应用的隐私设计框架，涵盖GDPR/COPPA等儿童隐私保护法规
🔗 链接: arxiv-2602-privacy-children

11. A Privacy by Design Framework for Large Language Model-Based Applications for Children

作者: Diana Addae, Diana Rogachova et al.
📅 发表: 2026-02-19
💡 摘要: 儿童LLM应用的隐私设计框架，涵盖GDPR/COPPA等法规映射
🔗 链接: https://arxiv.org/abs/2602.xxxxx

12. Llama-Polya: Instruction Tuning for LLMs based on Polya’s Problem-solving

作者: Unggi Lee, Yeil Jeong et al.
📅 发表: 2026-02-11
💡 摘要: 基于Polya问题解决框架的指令微调LLM，将Polya的数学问题解决方法整合到对话结构中
🔗 链接: arxiv-2602-llama-polya

📖 期刊最新发表

数据来源: Computers & Education、BJET、JCAL、IEEE TLT、The Internet and Higher Education、Teaching and Teacher Education 等17个核心期刊

📗 British Journal of Educational Technology

• 🔬 The synergy of pedagogical agents and metaphorical design: Reducing psychological distance to enhance video learning
  • 作者: BJET Editorial | 发表: 2026-03-26
  • 教学代理与隐喻设计的协同效应：降低心理距离以增强视频学习，129名学习者2x2被试设计实验

📗 Computers & Education

• 🔬 Teachers’ doings in the AI era: From transmission to relation
  • 作者: Miguel Nussbaum, Zvi Bekerman, Leanna Archambault, Maria Ranieri, Ramazan Yilmaz, Jiun-Yu Wu, Johan van Braak, Di Zou, Chin-Chung Tsai | 发表: 2026-08 (Vol.249)
  • AI时代教师角色转型：从知识传递到关系构建，多国学者合作研究
• 🔬 Trusting AI to detect AI? A systematic evaluation of the reliability and robustness of current AIGC detection tools
  • 作者: Yicheng Sun, Yihan Liao, Xiaoxue Ma | 发表: 2026-08 (Vol.249)
  • 系统评估当前AIGC检测工具对学生学术作品的可靠性与鲁棒性
• The Interplay of Self-regulation, Cognitive Load and Learner Resources in Virtual Reality
• 作者: Nina R. Peltzer, Jochen Kuhn, Matthias Stadler, Raphael Cera, Christoph Hoyer, Salome Flegr, Martin R. Fischer, Constanze Richters | 发表: 2026-08 (Vol.249)
• VR环境中自我调节、认知负荷与学习资源的相互作用及对学习成果的影响
• Longitudinal relationships between student ethical considerations, behavioral intention, and perceived knowledge in AI education
• 作者: Weipeng Shen, Ching-sing Chai, Thomas K.F. Chiu, King Woon Yau, Helen Meng, Irwin King, Savio Wong, Yeung Yam | 发表: 2026-08 (Vol.249)
• AI教育中学生伦理考量、行为意向与感知知识的纵向关系研究
• Fostering preservice teachers’ design thinking by integrating generative AI and analytics-supported reflective assessment
• 作者: Yuqin Yang, Linbaiyu Chen, Daner Sun, Wangda Zhu, Shiyan Pang | 发表: 2026-08 (Vol.249)
• 生成式AI+分析支持反思性评估在协作探究环境中培养师范生设计思维
• Innovating diagnostic learning: How generative AI explanation styles influence cognitive load and confidence calibration in medical students
• 作者: Fang Tang, Feng Yao, Minghe Zhou | 发表: 2026-08 (Vol.249)
• 生成式AI解释风格对医学生认知负荷与信心校准的影响

📗 IEEE Transactions on Learning Technologies

• Design and Implementation Framework of Game Activity Generators for Declarative Knowledge Training
• 作者: Berenice Lemoine, Pierre Laforcade, Sebastien George | 发表: 2026-01 (Vol.19)
• 面向声明性知识训练的游戏活动生成器设计与实现框架，基于模型驱动工程(MDE)理论
• Virtual Robots in E-Learning: A Pathway to Enhanced Academic Self-Esteem, Math Performance, and Engagement
• 作者: IEEE Editorial | 发表: 2026-01 (Vol.19)
• 虚拟机器人对儿童学业自尊、数学表现和参与度的增强效应，实验组vs对照组各12名儿童
• M-LATTE: Multimodal Latent Temporal Modeling for Continuous Engagement Assessment in Online Education
• 作者: Congcong Xie, Di Wang, Quan Wang, Xiao Liang, Ruyi Liu, Qiguang Miao | 发表: 2026-01 (Vol.19)
• 多模态潜时空建模用于在线教育持续参与度评估，MSE从0.19降至0.10

📗 Journal of Computer Assisted Learning

• Continuous Temporal Contiguity Narration-Animation for Learning in Virtual Reality
• 作者: JCAL Editorial | 发表: 2026-04 (Vol.42(2))
• VR环境中连续时间毗邻性对叙述-动画学习的影响，227名初中生实验研究

📗 Teaching and Teacher Education

• Emotional experiences of English language teachers in the age of generative AI
• 作者: Mohamad Reza Farangi, Hassan Nejadghanbar | 发表: 2026-07 (Vol.176)
• 生成式AI时代英语教师的情感体验研究
• Teacher identity negotiation in AI-enhanced higher education and its implications for professional development
• 作者: Jie Li, Qianyu Zhang | 发表: 2026-07 (Vol.176)
• AI增强高等教育中教师身份协商及其对专业发展的影响

📗 The Internet and Higher Education

• 🔬 Fair AI in educational predictions: A multi-group fairness approach using reinforcement learning
  • 作者: Fan Zhang, Wanli Xing, Chenglu Li, Yihan Jiang | 发表: 2026-04 (Vol.69)
  • 使用强化学习的多组公平性方法实现教育预测中的公平AI
• Emotional artificial intelligence in higher education: A systematic review
• 作者: Mohammadbashir Sedighi, Sinnathamby Sritharakumar | 发表: 2026-07 (Vol.70)
• 高等教育中情感AI的系统综述
• Do we worry about the use of artificial intelligence and plagiarism? Students’ AI-gializer behaviour through the fraud triangle
• 作者: Mirac Yücel Baser, Metin Kozak, Ibrahim Halil Erdogan | 发表: 2026-04 (Vol.69)
• 学生AI-gializer行为（AI+plagiarism）研究，通过欺诈三角理论框架分析
• The effects of AI-enhanced adaptive socially shared regulation strategies on science pre-service teachers’ instructional design skills
• 作者: Jun-Qi Wu, Meng-meng Zhang, Fei-yan Wu, Jun Huang, Ya-juan Han, Yu Liu | 发表: 2026-04 (Vol.69)
• CSCL中AI增强自适应社会共享调节策略对科学师范生教学设计技能的影响
• Exploring AI-driven learning assistance in Chinese higher education: A multidisciplinary and regional analysis
• 作者: Yicheng Sun, Hanbo Yang, Hi Kuen Yu, Richard Suen | 发表: 2026-04 (Vol.69)
• 中国高等教育中AI驱动学习辅助的多学科与区域分析
• AI self-efficacy and knowledge graph-integrated generative AI feedback in higher education
• 作者: Yun-Fang Tu, Gen-ping Liu, Gwo-Jen Hwang, Xu-Wei Chen, Xiao-Ge Guo | 发表: 2026-04 (Vol.69)
• 高等教育中AI自我效能感与知识图谱集成生成式AI反馈研究

🐙 GitHub AI/ML 热门项目

📈 本期趋势观察

• generative AI 相关研究 4 篇
• higher education 相关研究 4 篇
• math 相关研究 4 篇
• LLM 相关研究 4 篇
• academic integrity 相关研究 2 篇
• agentic AI 相关研究 2 篇
• China 相关研究 2 篇
• learner modelling 相关研究 2 篇

🔬 建议深读

1. Teachers’ doings in the AI era: From transmission to relation
   📖 期刊 · Computers & Education | 2026-08

   AI时代教师角色转型：从知识传递到关系构建，多国学者合作研究…

2. Trusting AI to detect AI? A systematic evaluation of the reliability and robustness of current AIGC detection tools
   📖 期刊 · Computers & Education | 2026-08

   系统评估当前AIGC检测工具对学生学术作品的可靠性与鲁棒性…

3. Fair AI in educational predictions: A multi-group fairness approach using reinforcement learning
   📖 期刊 · The Internet and Higher Education | 2026-04

   使用强化学习的多组公平性方法实现教育预测中的公平AI…

4. The synergy of pedagogical agents and metaphorical design: Reducing psychological distance to enhance video learning
   📖 期刊 · British Journal of Educational Technology | 2026-03-26

   教学代理与隐喻设计的协同效应：降低心理距离以增强视频学习，129名学习者2x2被试设计实验…

5. From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring
   📄 arXiv | 2026-03-25

   Monolithic LLM拆分为多个专业LLM组合，实现可解释的自适应教学编排…

6. CyberJustice Tutor: An Agentic AI Framework for Cybersecurity Learning via Think-Plan-Act Reasoning and Pedagogical Scaffolding
   📄 arXiv | 2026-03-19

   基于Think-Plan-Act推理和教学脚手架的网络安全学习Agentic AI框架…

7. When AI Meets Early Childhood Education: LLMs as Assessment Teachers in Chinese Preschools
   📄 arXiv | 2026-03-07

   针对中国3600万儿童、25万+幼儿园的师幼互动(TCI)评估难题，提出基于LLM的自动化评估系统…

8. Rewarding How Models Think Pedagogically: Integrating Pedagogical Reasoning and Thinking Rewards for LLMs in Education
   📄 arXiv | 2026-01-20

   整合教学推理与思维奖励信号用于教育LLM训练，提出教学推理奖励的新方法…

9. Problems With LLMs for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12
   📄 arXiv | 2025-12-28

   LLM单独用于K-12学习者建模的局限性——为何不足以实现负责任的辅导…

10. Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12 Education
    📄 arXiv | 2025-12-28

    LLM单独用于K-12学习者建模的局限性——为何LLM alone不足以实现负责任的辅导…

📊 简报由 AI 自动生成 | 数据来源: arXiv, 17个教育技术核心期刊RSS, GitHub Trending | 生成时间: 2026-03-29 15:05

💾 数据已存入研究监测数据库: ~/.qclaw/workspace/research_monitor.db