SEDM 2027 invites the submission of original research papers in Smart Education and Data Mining, covering theoretical, experimental, and applied perspectives, for publication in the conference proceedings. To ensure high standards and quality, each submission undergoes anonymous peer review by an average of three independent reviewers. Accepted papers will be presented as either oral presentations or posters at the conference. Topics of interest include (but are not limited to) the following areas:
Knowledge tracing, cognitive diagnosis, and learner modeling
LLM-augmented knowledge tracing and reasoning-chain modeling
Predictive modeling and learning outcome analysis
Causal inference and counterfactual analysis in educational data mining
Educational LLMs, generative AI, and NLP
Multimodal learning analytics and cross-modal fusion
Multimodal affective computing and cognitive state detection
Explainable educational AI and fairness algorithms
Multi-agent educational systems and agent orchestration
MCP and agent-communication-protocol-driven educational architectures
Edge-native and offline-first AI tutoring systems
Frugal AI educational systems and ultra-low-resource hardware deployment
Resource-aware and lightweight educational systems
Neuro-symbolic trustworthy educational systems
Federated learning for educational data collaboration
Cross-school federated risk prediction and privacy-preserving infrastructure
Multilingual educational knowledge graphs and semantic alignment
Automatic ontology construction and vocabulary alignment for low-resource languages
Privacy computing and trustworthy cross-border data sharing
Trusted execution environments and verifiable educational data collaboration
Fairness and auditability mechanisms in educational AI
Data standardization and cross-platform interoperability
AI literacy measurement, tracing, and institutional governance frameworks
Engineering frameworks for educational data governance
System validation in low-resource and low-connectivity environments
Deployment and evaluation of cross-border educational systems
Multilingual educational NLP localization in Vietnam and ASEAN
Demos and work-in-progress short papers
Cooperation practices in Vietnam and ASEAN
Field evaluation of teacher-AI collaboration and classroom orchestration
Emerging system paradigm case studies
Copyright ©2027 The 2nd International Conference on Smart Education and Data Mining