Advanced Education Improvement with Edge Computing and Artificial Intelligence



During the pandemic of COVID-19, most schools conduct the online education to guarantee the teaching in real-time. In addition, there are also many high-education institutes exploiting virtual reality and augment reality technologies to achieve that all students can make an immersive experience and thus enhance the education quality. Even so, the online education based on
communication network always faces two challenges. On one hand, the high response time due to the transmission among different regions causes the non-real-time education awareness.

On the other hand, the instability of communication causes the bad quality of experience for the users. Edge computing and Artificial Intelligence (AI) related technologies can address them to improve the whole education quality and level. Specifically, edge computing can offload the complex tasks included in the education process to the edge server for computation in order to reduce the computation overhead and increase the response speed of online education. AI can help analyze such education data and present the stable communication mode. For example, deep learning or neural network can be used to train huge amounts of communication data related to the online education. Therefore, this special issue focuses on advanced education improvement with edge computing and AI.

List of topic areas:

  • New online education framework based on edge computing and AI
  • Smart education products based on edge computing and AI
  • Large-scale and cross-domain education based on edge computing and AI
  • Data surveillance based on edge computing and AI
  • Edge computing-based education platform
  • Edge computing-based real-time education
  • Edge computing-based education resource management
  • VR/AR-based education with edge computing and AI
  • VR/AR-based education with edge computing and AI
  • New AI-related algorithms for education optimization
  • Metaverse for smart education
  • Edge computing and AI related technologies

Guest Editors:

Jianhui Lv, Tsinghua University & PengCheng Lab., China, [email protected]

Kong Fah TEE, University of Greenwich, United Kingdom, [email protected]

Hui Cheng, University of Hertfordshire, United Kingdom, [email protected]

Dilbag Singh, Gwangju Institute of Science and Technology, South Korea, [email protected]

Submissions Information:

Submissions are made using ScholarOne Manuscripts. Registration and access are available at:
Author guidelines must be strictly followed. Please see:
Authors should select (from the drop-down menu) the special issue title at the appropriate step in
the submission process, i.e. in response to ““Please select the issue you are submitting to”. Submitted articles must not have been previously published, nor should they be under
consideration for publication anywhere else, while under review for this journal.

Key deadlines:

Submission Dates: 
Opening date:
30th of October, 2022
Closing date: 30th of April, 2023

Closing date for abstract submission: 31st of December, 2022
Email for submissions: [email protected]