Call for Papers


E-learning, e-education and online training have become important components of education form. However, the increasing educational processing data have not exerted its value for educational research. With the rapid development of next generation of information technology, it is required more researchers and engineers to put their attentions on this emerging field. For example, AI model with online learning data can evaluate and warn participants’ performance, where collaboration data can identify and intervene participants’ kinds in the learning community. Therefore, more effective theories and applications are required to present in this area, and this conference aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies of emerging theory of intelligent models with educational data, and their novel engineering applications within this domain. Surveys with excellent quality are also welcome.

Submit paper

Welcome to the EAI Community

Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:

  • Get more visibility for your paper and receive a fair review with Community Review,
  • Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
  • Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.


We welcome contributions from the following fields:

  • Overview of the latest development of educational informatization and educational artificial intelligence
  • The application of computer vision in teaching/learning scenarios
  • The application of natural language processing in teaching/learning scenarios
  • Application of Graph Computing and Social Networks in Learning Scenarios
  • Analysis of teaching/learning behavior based on the fusion of diverse and heterogeneous information
  • The application of Big Model (AIGC) in educational scenarios
  • Data mining and knowledge graph based on educational information
  • Can explain educational artificial intelligence
  • Open source datasets, tools, and algorithms related to education


All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Additional publication opportunities:

By paying an additional $80, authors can publish their articles in the EAI Endorsed Transactions journal selected by the conference (Scopus and Ei Compendex indexed). The article’s publication is subject to the following requirements:

  • It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
  • The article will be processed once the conference proceedings have been published.
  • The article will be processed using the fast-track option.
  • Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

  • Regular papers should be up to 12-15+ pages in length.
  • Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Important dates

Loading important dates.