The 9th International Conference on Big Data and Education
The 9th International Conference on Big Data and Education will be held at Bangkok, Thailand during December 02-04, 2026. ICBDE is a premier event that brings together researchers, practitioners, and educators from around the world to discuss the latest advancements in big data and its applications in education. ICBDE 2026 is co-organized by Rajamangala University of Technology Thanyaburi (RMUTT), Thailand and China University of Mining and Technology (Beijing). The conference aims to address challenges and opportunities in using data-driven approaches to enhance teaching, learning, and decision-making in education. With keynote speeches, panel discussions, paper presentations, and workshops, participants will have the opportunity to exchange knowledge and collaborate on innovative ideas. Join us at the conference to explore solutions and shape the future of education in the era of big data.
Since 2018, the International Conference on Big Data and Education (ICBDE) has been successfully held 8 editions across Hawaii, London, online, Jinan, and Beijing. So far, nearly five hundred experts and scholars from all over the world have participated in the conference, and nearly forty technical sessions have been held. After 8 years, ICBDE has established a strong industry expert committee. Many renowned experts in the field of big data and education at home and abroad have shared their latest research results and experiences at the conference. The previous proceedings have been published by the prestigious publisher ACM, and successfully indexed by Ei Compendex, Scopus.
Research Topics
Big Data Science
• Educational data theoretical models
• Computational analysis methods
• Online learning data mining
• Student performance prediction
• Educational data visualization
• Curriculum improvement insights
• Big data ethics in education
Big Data Management
• Educational data governance frameworks
• Cloud-based big data solutions
• Student data privacy protection
• Real-time data processing
• Multi-source data integration
• Data quality management
• Educational data security protocols
Big Data Applications
• Personalized learning systems
• Intelligent tutoring technologies
• Data-driven course design
• Adaptive learning platforms
• Student assessment analytics
• Real-time learning analytics
• Student retention strategies
AI in Education
• AI-driven personalized learning
• Student success prediction models
• AI-based assessment tools
• Learning gap detection
• Automated curriculum design
• AI ethics in education
• Intelligent classroom management
Digital Learning
• Big data enhanced digital classrooms
• Digital course delivery analytics
• Student engagement improvement
• Personalized digital learning
• Gamification with data insights
• Learning outcome optimization
• Learning behavior analytics
STEM Education
• STEM curriculum design with data
• STEM performance prediction
• Student engagement strategies
• Data-driven STEM teaching
• STEM performance tracking
• Big data tools for STEM teaching
• Personalized STEM learning paths