Scopes
(The following topics include but are not limited to)
Track 1: Innovative Education
Virtual reality and augmented reality in education
Adaptive learning systems
Educational robots and automation
Emerging technologies in education
Intelligent tutoring systems
Natural language processing in education
Knowledge representation and reasoning in education
Intelligent education systems and applications
Intelligent learning environments
Cognitive models and educational significance
Data-driven educational methods
Learning analysis and visualization
Educational data mining and machine learning
Educational big data
Personalized learning, educational decision-making
Evaluation and assessment of e-learning
STEM education and teaching methods
Computational thinking and coding education
Robots and automation in STEM education
Educational computational modeling and simulation
Educational applications of the Internet of Things
Digital manufacturing and maker education
Track 2: Artificial Intelligence
Improving teaching effectiveness through blended learning
Service learning
Artificial intelligence technologies and applications
Basic theories and applications of artificial intelligence
Intelligent and knowledge-based systems
Intelligence and artificial intelligence control
Intelligent automation
Machine learning, machine learning processing
Data mining and machine learning tools
Artificial intelligence algorithms
Artificial intelligence tools and applications
Knowledge science and knowledge engineering
Machine learning and data mining
Machine perception and virtual reality
Intelligent robots, human-computer interaction
Artificial intelligence algorithms in education
Artificial neural networks in education
Educational robots
Natural language processing and understanding
Track 3: Educational Information Technology
Personalized teaching systems
Educational technology system architecture
Search, application, organization and management of learning resources
Educational technology system development techniques
Models and architectures of educational technology systems
Remote learning systems
E-learning standards
Artificial intelligence and open learning
Human-computer interaction in teaching systems
Educational knowledge management technology
Educational data mining, text mining and WEB mining
Simulation in learning
Important Dates/重要日期
  • Submission Deadline: 2026.7.22
  • Registration Deadline: 2026.7.29
  • Conference Date: 2026.8.6
  • Notification Date: About a week after the submission
Submission Portal/投稿方式

Mail Address:  icramd_info@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

蒋老师
  • +86-15680824672(微信同号)
  • 3761629232
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