Workshop on Artificial Intelligence and Electronic Communication Techniques Education

The rapid development of electronic and communication technology has fundamentally changed the way information is transmitted, processed, stored, controlled, and distributed. The emergence of artificial intelligence (AI) provides new technical means and mathematical tools to solve the problems in the electronics and communication engineering industry. It makes full use of the technical advantages of artificial intelligence in learning knowledge graph, deep learning, visual recognition, and other aspects, and continuously promotes automation, intelligence and refinement in the electronics and communication engineering industry. Facing the rapid development of electronic communication technology and artificial intelligence algorithm, how to train researchers in these fields is a very important problem.

The workshop on Artificial Intelligence and Electronic Communication Techniques Education (AIECTE) will collect educational and teaching articles for undergraduates and postgraduates majoring in electronic information and artificial intelligence, mainly including teaching system reform, teaching method and means reform, professional curriculum setting,  Training of new engineering talents, construction of teaching staff, integrated teaching of electronic information and artificial intelligence, multidisciplinary integration, degree education and innovation ability training, etc.  This collection of papers will promote the exchange of electronic information and artificial intelligence teachers in the field of education and teaching, effectively improve the quality of education and teaching, and enhance the ability to cultivate innovative talents.  Professional teachers, technicians, and higher education practitioners will all benefit from the proceedings.

The potential topics for this workshop include, but are not limited to:

1. Smart evaluation of classroom teaching empowered by artificial intelligence

2. Higher education teaching innovation under the background of artificial intelligence

3. The application of artificial intelligence in modern education and teaching

4. Artificial Intelligence + Higher Education Teaching Methods

5. Teachers' professional ethics in the context of artificial intelligence

6. Graduate education model of new engineering + artificial intelligence

7. Undergraduate education model of new engineering + artificial intelligence

8. Artificial intelligence and electronic information talent training model innovation

9. The cultivation of talents in colleges and universities under the intersection of disciplines

10. Construction of first-class undergraduate majors in electronic information and artificial intelligence

11. The Reform of Electronic Information Specialty and the Construction of Teachers' Team

12. Teacher construction for multi-discipline

13. Exploration of innovative teaching mode for interdisciplinary

14. Artificial intelligence + professional teaching reform

15. Practical framework for analyzing the teaching behavior of teachers based on artificial intelligence

Workshop Chair:

Zhenyu Na, Dalian Maritime University, nazhenyu@dlmu.edu.cn

Workshop Co-chair:

Xin Liu, Dalian University of Technology, liuxinstar1984@dlut.edu.cn

Jiaqi Zhen, Heilongjiang University, zhenjiaqi@hlju.edu.cn

Zhian Deng, Harbin Engineering Uniersity, dengzhian@hrbeu.edu.cn