Welcome to IETAB 2026

2026 International Conference on Educational Technology, Artificial Intelligence and Big Data

Scopes
(The following topics include but are not limited to)
Track 1: Educational Technology
Educational studies, information technology, multimedia technology
Design and evaluation of online learning platforms
Educational big data analysis and application
Application of artificial intelligence in education
Implementation and effect of blended learning models
Application of virtual reality and augmented reality in education
Trends and challenges of mobile learning technology
Educational gamification strategies and effects
Role of social networks in education
Educational technology and inclusive education
Innovations and development of learning management systems (LMS)
Application of educational technology in teacher professional development
Relationship between digital literacy and educational technology
Prospects of blockchain technology in education
Case studies and experiences of flipped classrooms
Ethics and privacy issues in educational technology
Track 2: Artificial Intelligence
Development of intelligent tutoring systems
Personalized learning paths
Machine learning and learning analysis
Educational robot interaction
AI-enabled education equity and accessible learning
AI-driven assessment and feedback
Educational application of affective computing
Learning analysis tools
Educational data ethics
Intelligent translation tools
Interdisciplinary cooperation in educational AI
Application of virtual teaching assistants
AI in special education
Educational decision support systems based on big data
Human-computer interaction experience
Deep learning and educational analysis
AI in simulated learning environments
Track 3: Big Data
Big data security and privacy
Big data encryption
Privacy-protected big data analysis
Quality and management of big data
Models and languages for big data protection
Big data open platforms
Big data services
Big data analysis and measurement
Big data applications
Big data visualization analysis
Big data and cloud computing
Big data and the Internet of Things
Machine learning based on big data
Big data in mobile and ubiquitous computing ......
Important Dates | 重要日期
  • Submission Deadline: 2026.6.22
  • Registration Deadline: 2026.6.29
  • Conference Date: 2026.7.7
  • Notification Date: About a week after the submission
Submission Portal | 投稿方式

Mail Address:  icmla_conference@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
--
  • +86---(微信同号)
  • --
Indexing Service | 索引服务