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Smart data driven smart education aims to filter out the noisy data and produce valuable educational services, which can be effectively used by teachers, educators and governments for planning, monitoring, and intelligent decision making. Although unprecedentedly large amou nt of educational data can be collected with the advancement of the information systems and sensor devices, the key is to explore how big data can become smart data and offer intelligent educational services. Advanced Smart/Big data modeling and analytics are indispensable for discovering the underlying structure from retrieved educational data and further providing more intelligent educational services.

This is a special session of the 8th IEEE International Conference on Smart Data (SmartData-2022). This special session aims to collect the latest original contributions in educational Smart/Big data and intelligent services, and offer new ideas, experiences and discussions by experts in this field. We encourage the submission of papers with new theory, anal ysis, methods, and applications.

All papers need to be submitted electronically through the conference submission website in PDF format at (coming soon). Each paper is limited to 8 pages (or 10 pages wit h over length charge) for a main conference paper, 6 pages for a workshop paper, and 2 4 pages for a poster paper including figures and references using the IEEE Computer Society Proceedings manuscripts style (two columns, single spaced, font size 10). You can access the IEEE Computer Society Proceedings Author Guidelines from the following link:
https://www.ieee.org/conferences/publishing/templates.html

Accepted conference papers will be published by IEEE (IEEE DL and EI indexed). Selected papers, after further extensions and revisions, will be nominated to publish at various special issues of SCI and EI journals. More details can be found at the conference website: http://www.ieee-cybermatics.org/2022/smartdata/.

Topics include but are not limited to:
1. System Architecture and Infrastructure of Educational Smart/Big Data
2. Collection and Integration of Educational Smart/Big Data
3. Storage and Management of Educational Smart/Big Data
4. Intelligent Data Fusion of Educational Smart/Big Data
5. Security and Privacy of Educational Smart/Big Data
6. Data Inference in Educational Smart/Big Data
7. Accurate Prediction in Educational Smart/Big Data
8. Machine Learning/Deep Learning in Educational Smart/Big Data
9. Intelligent Applications in Educational Smart/Big Data
10. Visualization Analytics for Educational Smart/Big Data
11. Educational Smart/Big Data Metrics and Metrology
12. Ethic Issues in Educational Smart/Big Data Applications

Journal Special Issues
1.IEEE Internet of Things Journal (IF: 9.471) Special Issue: Fusion from Big Data to Smart Data

2.ACM Distributed Ledger Technologies: Research and Practice (ACM DLT)

3.Information Sciences (Elsevier) (IF: 6.795)

4.IEEE Network Magazine (TBD) (IF: 10.693)

5.Information Fusion (Elsevier) (TBD) (IF: 12.975)

Important Dates
Paper Submission Due: March 15, 2022
Acceptance Notification Due: June 10, 2022
Camera-ready version: June 25, 2022

Special Session Chairs
Yulin Hu, Wuhan University, China（yulin.hu@whu.edu.cn）
Linglin Xia, Nanchang University, China（xialinglin@ncu.edu.cn）