In 2023, the world is recovering from the fight against the COVID-19 epidemic and approaching the post-COVID-19 era. In the last three years, the COVID-19 pandemic has greatly reshaped our life from many aspects, such as how we attend meetings and how we learn. Different scales of lockdown around the world interrupted normal classroom teaching and forced all the learning activities go online. Under such scenarios, online, blended, and hybrid delivery modes became the norm, which has accelerated the content and infrastructure development of e-learning. In the post COVID-19 era, we are having greater accessibility to e-learning than ever and getting used to acquiring knowledge from online.

Therefore, one can expect an increasing need for adaptive e-learning environments with good pedagogical soundness and maneuverability to supplement the traditional offline teaching and learning. In the near future, the integration of information and communication technologies, artificial intelligence (AI), augmented and virtual reality (AR/VR), and gamification into instruction and learning will be further enhanced, and e-learning will take on a higher weight in school learning.

This special session, Intelligent E-learning at Post-COVID19 Era (IEPCE), of BESC 2023 aims to discuss the ad-hoc development and implementation of intelligent e-learning models with high scalability and adaptability in the post-COVID era. We also call on investigating e-learning adaptation and learning environment optimization for effective and rapid response to future pandemics like the COVID19 pandemic. Topics of interest in the special issue of IEPCE include but are not limited to the following:

  • AI application in education.
  • AR/VR and gamification for intelligent e-learning.
  • Online education in the post COVID-19 era.
  • MOOC’s innovative development in the post-COVID-19 era.
  • Deep neural networks for smart e-learning.
  • Hybrid or blended e-learning.
  • Teaching and learning evaluation in the post COVID-19 era.
  • Integration of offline learning and e-learning in the post COVID-19 era.
  • Technology proficiency development.
  • Scalable and easily adaptable e-learning models.
  • Collaborative and inclusive e-learning.
  • Student modeling for intelligent e-learning.
  • Challenges and opportunities for e-learning in the post COVID-19 era.
  • E-learning adaptation and optimization to unexpected crises.

Important Dates

  • Special Session Papers Submission: 29 July 2023
  • Acceptance Notification: 15 September 2023
  • Author Registration: 1 October 2023
  • Camera-Ready Submission: 1 October 2023

Paper submission instruction

Paper submission system is available at: https://easychair.org/conferences/?conf=besc2023.

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity.

Please note:

  • All submissions should use IEEE two-column style. Templates are available from here.
  • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts special session papers (6 pages).
  • The page count above excludes the references.
  • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
  • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
  • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
  • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
  • Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
  • (NEW) The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.


General Chair
Zongxi Li, Hong Kong Metropolitan University, Hong Kong (zongxili2[at]gmail.com)

Technical Programme Co-Chairs
Xieling Chen, Guangzhou University, China
Fan Su, Shanghai Normal University, China
Wei Chen, Chinese Academy of Agricultural Sciences, China

Steering Committee Co-Chairs
Gary Cheng, The Education University of Hong Kong, Hong Kong
Tak-Lam Wong, Douglas College, Canada
Haoran Xie, Lingnan University, Hong Kong
Di Zou, The Education University of Hong Kong

Honorary Co-Chairs
Gwo-Jen Hwang, National Taiwan University of Science and Technology, Taiwan
Fu Lee Wang, Hong Kong Metropolitan University, Hong Kong

Program Committee Members

  • Xinhong Chen, City University of Hong Kong, Hong Kong
  • Xianming Li, Ant Group, China
  • Yalin Liu, Hong Kong Metropolitan University, Hong Kong
  • Yuzhang Liu, Xiaohongshu, China
  • Bishenghui Tao, Hong Kong Metropolitan University, Hong Kong
  • Han Zhang, Chinese University of Hong Kong, Hong Kong
  • Ruofei Zhang, The Education University of Hong Kong, Hong Kong