DAKE serves as a premier interdisciplinary forum for presenting cutting-edge advances and research outcomes in the fields of data analytics and knowledge engineering. The conference will gather leading academic scientists, researchers, and scholars from around the world who are engaged in these domains. Topics of interest for submission include, but are not limited to:
Multi-source Learning Behavior Analysis and Cognitive Modeling
Educational Text Generation and Interaction Optimization Techniques
Learning Outcome Prediction and Intervention System Design
Educational Data Mining and Explainability Analysis
Real-time Computing and Edge Systems for Online Education
Ethics and Fairness in AI-driven Education
Multimodal Educational Data Fusion Methods
Construction and Evolution Techniques for Educational Knowledge Graphs
Privacy-preserving Computation in Educational Data
Educational Data Authentication and Audit Technologies
Standardization and Sharing Frameworks for Educational Data
Cross-border Compliance in Educational Data
Lightweight Model Deployment Practices in Education
Educational Ontologies and Semantic Interoperability
Microservices and Cloud-native Architectures for Education
Virtual Teaching Environment Integration Technologies
Educational Software Quality and DevOps Practices
Low-latency System Optimization for Education
Large Language Model Inference Optimization and Hardware Adaptation
Fault Tolerance and Resilience Testing in Educational Systems
Educational Robotics System Design
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