会议信息

EAIT' 2027: International Conference on Education and Artificial Intelligence Technologies

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截稿日期:
2027-04-30 还有 171 天
通知日期:
2027-05-30
会议日期:
2027-09-24
会议地点:
Guilin, China
届数:
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会伴指数 (CP-I)

48.9 / 100
全站第 1,985 名 / 共 5,771 个会议 · 前 35%

教育与教育技术 第 43 / 142 人工智能与机器学习 第 210 / 755

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
13
资料公开度 (15%)
55

用到的输入: 有据可查的届次：8 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
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置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-09

征稿

EAIT' 2027 (International Conference on Education and Artificial Intelligence Technologies) is an academic conference held in Guilin, China on 2027-09-24. The paper submission deadline is 2027-04-30. Acceptance notifications are sent on 2027-05-30.

With the rapid advancement of artificial intelligence, particularly Generative AI, Large Language Models (LLMs), intelligent agents, and multimodal learning technologies, education is undergoing significant transformation. EAIAT focuses on the development, application, and evaluation of intelligent technologies in education, covering both fundamental AI techniques and their innovative applications in teaching, learning, assessment, and educational management. The conference welcomes original research contributions, practical applications, experimental studies, and technological innovations in, but not limited to, the following topics: Topics of interest for submission include, but are not limited to: Track 1: Artificial Intelligence and Machine Learning in Education Artificial Intelligence Applications in Education Machine Learning and Deep Learning for Educational Applications Generative Artificial Intelligence in Teaching and Learning Large Language Models (LLMs) and Foundation Models in Education Agentic AI and Multi-Agent Systems for Education Natural Language Processing for Educational Applications Computer Vision and Pattern Recognition in Education Knowledge Representation and Knowledge Graphs for Education Intelligent Decision Support Systems for Education Explainable and Trustworthy AI in Educational Applications Track 2: Intelligent Tutoring Systems (ITS) AI-Powered Personalized Learning Systems Adaptive and Intelligent Learning Systems and Adaptive Education Smart Learning Environments Intelligent Learning Platforms and Applications AI-Based Learning Recommendation Systems Student Modeling and Knowledge Tracing AI-Assisted Learning Content Generation Conversational AI and Educational Chatbots Virtual Teaching Assistants and Intelligent Learning Agents Collaborative and Social Learning Technologies Self-Regulated and Self-Adaptive Learning Systems AI-Driven Learning Path Optimization Track 3: Educational Data Mining and Learning Analytics Educational Data Mining and Big Data Analytics AI-Driven Learning Analytics Predictive Analytics for Student Performance Student Behavior Modeling and Analysis Multimodal Learning Analytics Educational Data Visualization and Interpretation Academic Performance Prediction AI-Based Student Engagement and Motivation Analysis Learning Process Monitoring and Evaluation Educational Data Management and Processing Intelligent Decision-Making in Educational Management Data-Driven Educational Quality Assessment Track 4: AI-Enhanced Teaching, Assessment, and Educational Innovation AI-Assisted Teaching and Instructional Design AI-Enhanced Curriculum Development Automated Assessment and Intelligent Grading AI-Powered Feedback and Evaluation Systems Generative AI for Educational Resource Development AI-Supported Examination and Assessment Systems Human-AI Collaboration in Teaching and Learning AI Applications in STEM and STEAM Education AI-Assisted Programming and Computing Education Project-Based and Inquiry-Based Learning with AI AI-Enhanced Educational Management and Administration Innovative Teaching Models and Pedagogical Technologies Track 5: Emerging Technologies and Intelligent Educational Environments Virtual Reality (VR) and Augmented Reality (AR) in Education Extended Reality (XR) and Immersive Learning Environments Metaverse and Digital Twin Technologies for Education Multimodal Human-Computer Interaction in Learning Internet of Things (IoT) and Smart Classroom Technologies Edge Computing and Cloud Computing for Education Robotics and Intelligent Robotic Education Educational Simulation and Serious Games Intelligent Multimedia Learning Systems Mobile and Ubiquitous Learning Technologies Blockchain and Digital Credentials in Education Wearable Technologies for Smart Learning Track 6: Responsible AI, Educational Ethics, and Digital Inclusion Responsible and Ethical AI in Education Privacy Protection and Data Security in Educational AI Fairness, Transparency, and Accountability of AI Systems Explainable AI and Trustworthy Educational Technologies AI Governance and Policy for Education Academic Integrity in the Age of Generative AI AI-Generated Content Detection and Verification Bias Detection and Mitigation in Educational AI Digital Accessibility and Inclusive Learning Technologies AI Literacy and Digital Competency Development Educational Technology for Diverse and Underserved Learners Sustainable and Human-Centered AI in Education Track 7: AI Applications in Professional Education and Lifelong Learning AI in Higher Education and University Teaching AI Applications in K-12 Education AI-Enhanced Vocational and Technical Education Intelligent Corporate Training and Workplace Learning AI for Professional Skills Development Personalized Lifelong Learning Systems AI-Supported Language Learning and Translation Intelligent Assessment for Professional Certification AI in Distance, Online, and Blended Learning Digital Transformation of Educational Institutions AI-Driven Career Guidance and Talent Development AI Technologies for Interdisciplinary and Cross-Cultural Education
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