Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICBDE 2026. The topics are not limited to those as below:
• 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
• 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
• Personalized learning systems
• Intelligent tutoring technologies
• Data-driven course design
• Adaptive learning platforms
• Student assessment analytics
• Real-time learning analytics
• Student retention strategies
• 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
• 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 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