| Issue |
SHS Web Conf.
Volume 157, 2023
2022 International Conference on Educational Science and Social Culture (ESSC 2022)
|
|
|---|---|---|
| Article Number | 02025 | |
| Number of page(s) | 6 | |
| Section | Distance Education Training and Educational Innovation | |
| DOI | https://doi.org/10.1051/shsconf/202315702025 | |
| Published online | 13 February 2023 | |
Exploration and Practice of Coordinated Development of Teachers and Students in Innovation and Entrepreneurship Education of Artificial Intelligence
1 College of Big Data, Qingdao Huanghai University, Qingdao, China
2 Department of Academic Affairs, Qingdao Huanghai University, Qingdao, China
3 College of Innovation and Entrepreneurship Education, Qingdao Huanghai University, Qingdao, China
4 College of Big Data Qingdao Huanghai University Qingdao, China
a xingj@qdhhc.edu.cn
b Corresponding author: fumulan_cn@163.com
c mermaid0320@163.com
d wangxh02@qdhhc.edu.cn
Among application-oriented universities, there are problems of incomplete teaching staff construction, emphasis of student training, lacking learning motivation, and lack of cooperation and exchange platform. Based on analyse of current situation of artificial intelligent talents cultivation, it was proposed about problems of improvement of teachers’ ability and student training, and targeted solutions were advised. It was thought that goals of AI talents cultivation were the developer teacher and experienced and applied student, whose development paths were established, which can be carried on by coordinated development of teachers and students. The cultivation system was structured by innovative undertaking platform construction of teachers and students, team selection mechanism, diversified study driving, building a teaching team of teachers and students, and capability development drived by integration of expertise and innovation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.