A Study of Engineering Doctoral Students’ Research Experience and Degrees of Satisfaction in China
- DOI
- 10.2991/978-94-6463-172-2_224How to use a DOI?
- Keywords
- algorithms and computer technology; engineering doctoral students; research experience; degree of satisfaction; SPSS
- Abstract
Engineering and technical talents are the key factors in the development of algorithms and computer technology. Engineering doctoral students (EDS), being engineering and technical talents to be, play a significant role in the sustainable development of information technology society. This study explored 163 EDS from a research university in Liaoning as the research object using SPSS to analyze whose research experience and degree of satisfaction about doctoral education. The results showed that EDS had participated in 2.02 research projects on average and generally had a high degree of satisfaction about their research training but a relatively low degree of satisfaction about support from organization and subsidies from supervisors. The research experience had a significant positive impact on enhancing EDS’ research competency. The study provided a scientific basis for the cultivation of high-level innovative engineering and technical talents in algorithms and computer technology.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoqing Xu PY - 2023 DA - 2023/06/30 TI - A Study of Engineering Doctoral Students’ Research Experience and Degrees of Satisfaction in China BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 2011 EP - 2017 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_224 DO - 10.2991/978-94-6463-172-2_224 ID - Xu2023 ER -