Scope
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Current continuous development of artificial intelligence push the fusion of information and knowledge services into all research domains in natural science, technology, and social science. Because of the rush of COVID-19 in the world, online education grows quickly and becomes the educational trend today. Meantime, huge data are generalized every day from the educational processing. Therefore, novel technologies of artificial intelligence and information technology are required to mine the important and necessary information from the huge educational data. Such a progress depends on interdisciplinary researches involving information technology, computer vision, and education technology.

The online educational data includes complex information, such as lessons, books, coursework items, exams, as well as videos of class. All the information is valued to deeply learn and study because it contains the teachers and students’ sentiment and preferences. It is a challenging task to construct effective service systems to process the complex educational information, for example, to provide an understanding system for educational data, to use NLP methods extracting useful information from educational text and images, as well as to predict the score of students from their personal presentations. All these interesting extensions requires big data analysis, deep learning and machine learning, edge/cloud computing, wireless communication, and mobile computing.

In this way, effective solutions and applications are needed in modern online education. This conference aims to provide an opportunity for researchers to publish their latest relevant IT solutions and applications for this area.

Keywords: Artificial Intelligence; online education; educational technology; educational system; educational solution; big data analysis; evaluation; information processing; understanding

Topics
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The works that will be presented at the conference will focus on the following topics:


• Challenges and solutions for artificial intelligence in online education

• Pattern recognition solutions for personal learning in online education

• Decision support solutions in online education

• Optimization solutions in online education

• Educational information understanding

• Evaluation of intelligent educational system

• Big Data Analysis for intelligent education

• Collaborative learning solutions and applications

• Multimodal information processing in online education

• Mobile Intelligent educational system

• Cloud based intelligent educational system

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

eLEOT proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

Mobile Networks and Applications (MONET) Journal (IF: 2.602)
All accepted authors are eligible to submit an extended version in a fast track of:

EAI Endorsed Transactions on e-Learning (Open Access)
Additional publication opportunities:

EAI/Springer Innovations in Communications and Computing Book Series

Instructions for paper submission
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Papers should be in English.
Regular papers should be 10 – 20 pages in length.
Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.

General Chair
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Shuai Liu
Hunan Normal University, China

About EAI
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This event is organized by EAI (www.eai.eu).

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities