Call for Papers


AIES 2026 will focus on research related to the application of Artificial Intelligence and Education System. Please submit your paper/abstract to this conference’s submission system or email before the deadline. The conference is also inviting oral and poster presentations and will award the best oral and poster presentation prizes. AIES 2026 将聚焦于与人工智能与教育系统的应用及其有效实现经验相关的研究。请在截止日期前将您的论文/摘要提交至会议指定的投稿系统或邮箱。同时，会议公开征集口头和海报形式的报告，并将评选出最佳口头和海报报告奖。


    Generative AI in Education
    生成式AI教育应用
  • AI content generation for teaching
    AI教学内容生成
  • LLM-powered tutoring systems
    大语言模型智能辅导程
  • Automated essay evaluation
    自动化作文评估
  • Synthetic educational materials
    合成教育材料
  • Ethical use of GenAI by students
    学生使用生成式AI的伦理
  • Hallucination mitigation in EdTech
    教育技术中的幻觉消除
  • Prompt engineering for learning
    面向学习的提示工
    Intelligent Tutoring Systems
    智能导学系统
  • Adaptive learning algorithms
    自适应学习算法
  • Knowledge tracing models
    知识追踪模型
  • Personalized learning paths
    个性化学习路径
  • Real-time feedback mechanisms
    实时反馈机制
  • Learner modeling techniques
    学习者建模技术
  • Cognitive diagnostic assessment
    认知诊断评估
  • Multi-agent tutoring architectures
    多智能体辅导架构
    Conversational AI & Chatbots
    对话式AI与聊天机器人
  • Educational dialogue systems
    教育对话系统
  • Virtual learning assistants
    虚拟学习助手
  • Socratic questioning bots
    苏格拉底式提问机器人
  • Collaborative learning support
    协作学习支持
  • Emotional support chatbots
    情感支持聊天机器人
  • Multilingual educational bots
    多语言教育机器人
  • Voice-based learning interfaces
    语音学习界面
    Immersive Learning Tech
    沉浸式学习技术
  • VR/AR in education
    教育中的虚拟现实/增强现实
  • AI-powered metaverse learning
    AI驱动的元宇宙学习
  • Spatial computing for training
    空间计算用于培训
  • Haptic feedback systems
    触觉反馈系统
  • 3D simulation environments
    3D仿真环境
  • Embodied learning experiences
    具身学习体验
  • Multisensory learning design
    多感官学习设计
    Learning Analytics & Assessment
    学习分析与评估
  • Multimodal learning data mining
    多模态学习数据挖掘
  • Predictive student analytics
    预测性学生分析
  • Automated grading systems
    自动评分系统
  • Learning behavior pattern recognition
    学习行为模式识别
  • Early warning systems
    早期预警系统
  • Dashboard visualization design
    仪表盘可视化设计
  • Privacy-preserving analytics
    隐私保护分析
    Educational Intelligent Systems Design
    教育智能系统设计
  • System architecture for AIEd platforms
    AI教育平台的系统架构
  • Edge computing in smart classrooms
    智慧课堂中的边缘计算
  • Real-time inference optimization
    实时推理优化
  • Federated learning for education
    教育中的联邦学习
  • Cloud-native educational infrastructure
    云原生教育基础设施
  • Microservices for scalable EdTech
    可扩展教育技术的微服务
  • API design for learning ecosystems
    学习生态系统的API设计
  • System reliability & fault tolerance
    系统可靠性与容错机制

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