Call for papers
In this workshop, we aim to bring together researchers in data mining, artificial intelligence in
education (AIED), education data mining (EDM), and education fields to discuss the challenges,
the results, the progress, and the industrial applications in AIBDE. We hope the proposed
workshop is fruitful in attracting more attention to developing DM algorithms and models for
future education.
We encourage submissions related to AIBDE, including but not limited to:
- Data mining in education.
- Data driven learning analytics.
- Data mining for computer-aided education.
- Data mining in online learning platform.
- Data mining for personalized learning.
- Brain information computation in learning science.
- Natural language processing in AIBDE.
- Multi-source multi-model data fusion in education.
- Graph reconstruction and representation in AIBDE.
- Heterogeneous information network learning in AIBDE.
- Small sample issues and data sparsity in AIBDE.
- Privacy-protected data mining in AIBDE.
- Federated learning for education.
- Knowledge graph construction and learning in AIBDE.
- AI based learning systems.
- Big data driven education theory and cognitive psychology.