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

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投稿締切日:
2027-04-30 残り 171 日
通知日:
2027-05-30
開催日:
2027-09-24
開催地:
Guilin, China
開催回数:
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会伴インデックス (CP-I)

48.9 / 100
全 5,771 件中 第 1,985 位 · 上位 35%

教育・学習テクノロジー 分野 142 件中 第 43 位 人工知能・機械学習 分野 755 件中 第 210 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
59
コミュニティの注目度 (10%)
13
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：8 · 過去 24 か月にこのページを開いた研究者：5 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-11-09

論文募集

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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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Education and Information Technologies5.4Springer1360-2357
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.5Elsevier0167-8655
BPattern Recognition9.1Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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