About ICBDIE 2026
2026 International Conference on Big Data and Informatization Education
Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education.
2026 International Conference on Big Data and Informatization Education (ICBDIE 2026) will be held on February 6-8, 2026 in Beijing, China. ICBDIE 2026 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.
We warmly invite you to participate in ICBDIE 2026 and look forward to seeing you in Beijing, China!
Call For Papers
The topics of interest include, but are not limited to:
· ChatGPT and AI reinforcement learning
· Adaptive Education System
· Cognitive modeling and intelligent modeling
· Learning with AI Systems
· Machine learning and learning analytics
· Intelligent modeling
· Natural language processing
· Learning Analytics and Educational Data Mining
· Artificial intelligence-based education system architecture
· Agent-based learning environment
· Creative Tools of Intelligent Tutoring System
· Educational psychology
· STEM Education
· Sentiment analysis
· Blended learning
· Teaching design
· Cloud teaching
· E-learning platforms and tools
· Computer Supported Collaborative Learning
· Mobile and ubiquitous learning
· Game-based learning
· Application of Virtual Reality and Augmented Reality in Education
· Adaptive learning system
· Educational Robots and Automation
· Mobile Learning and Ubiquitous Computing
· The application of wearable technology in education
· E-learning environment
· Digital Education Platform
· Data preprocessing
· Education big data
· Data Mining and Evaluation
· Text mining
· Recommendation algorithm
· Data visualization
· Recommendation system
· Database management
· Data encryption
· Personalized learning
· Educational decision-making
· Data-driven educational methods
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Submission
Please send the full paper(word+pdf) to Submission System :
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Important Dates
Submission Date | Notification Date | Registration Date | Conference Dates |
December 2 , 2025 | January 6 , 2025 | January 22 , 2025 | February 6- 8, 2026 |
Publication
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
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