Paper awards

Best Paper Award

The Potential Energy of Context in Brand Communication Education Reform from the Perspective of Mobile Media
Xinzhu Pu, Yu Wang and Jing Liang

 

 

Best Student Paper Award

Reduce Information Avoidance in Academic Reading by Group Formation
Siqi Wang, Juan Zhou, Ling Xu, Chengjiu Yin

 

Best Technical Paper Award

Multi-Head Multi-Scale Feature Fusion Network for Semantic Scene Completion
Di Lin, Haotian Dong, Enhui Ma, Lubo Wang, Ping Li

 

Call for Papers

 

The International Conference on Artificial Intelligence and Education (ICAIE 2023) focuses on artificial intelligence (AI) techniques and education, which includes theory, technology, practice and application. In particular, with the emergence of artificial intelligence and educational technologies, the research of education and AI techniques has changed greatly in the recent years.

The ICAIE Conference series is intended to provide a major worldwide forum for exchanging creative research ideas and significant application results both underpinning and applying artificial intelligence and education, where the international scholars can share their research ideas on the recent and latest research on AI and education and figure out the possible directions in the areas for future researchers and collaborations.

 

With the rapid develop of AI and educational technology, large-scale visual and analytical data are available, bringing significant opportunities for creative processing of vision and educational information, as well as industrial applications. The mail rationale for this new conference series is to aim at interdisciplinary research, which integrates the aspects of artificial intelligence, educational technology, data science, computer vision, learning analytics, machine learning, e-Learning, video processing, mobile learning and visualization. Researchers and graduate students are welcomed to participate in the conference to exchange research findings in the frontier areas of AI and education.

 

"AI with Education" is a new research topic. We also hope scholars whose research focus on Education or Computer Science to participate in the conference.

 

The aim of this conference is to provide a worldwide forum, where the international participants can share their research knowledge and ideas on the recent and latest research on "AI with Education". We also hope that participants can map out the research directions for future scholars and build new research collaborations.

 

We welcome contributions that will help advance visions, technologies, theories, applications and practices to be much better support AI development and educational purposes. The scope of ICAIE 2023 includes the following topics but is be limited to:

 

  • - AI and machine learning for visual contents
  • - Active learning
  • - Educational big data and data sciences
  • - Cognition of visual concepts and computer vision
  • - Learning behavior analysis
  • - Educational data mining
  • - Editing, composition and enhancement of visual elements
  • - Computer-supported collaborative learning
  • - Image and video editing
  • - E-learning authoring tools
  • - Recognition and understanding for visual perception
  • - Social networks, social media and social learning
  • - Digital education and online learning
  • - Game-based Learning
  • - Learning management system
  • - Mobile learning
  • - Technology-enhanced language learning
  • - Visualization and learning analytics

 

The conference proceeding will be published by CONFERENCE PUBLISHING SERVICES (CPS).  The proceeding will be submitted to the indexing companies for possible indexing.  Indexing services are independent organizations, and CPS cannot guarantee that any particular abstract or index entry will be included in Ei Compendex, CPCI or any other indexing serviceThe proceedings will also be submitted to Xplore and CSDL .

 

 

会议论文集会被提交EI, CPCI等检索机构,但是不保证能被检索。

 

 

 

PC Contact Information 

Chengjiu Yin, Information Science and Technology Center, Kobe University, Japan

Email: icaie2022@gmail.com

Phone:+81-078-803-5378 (Japan)

 

 

Wechat ID

 

Onsite and Online Options:

In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation