An Effective Teaching Quality Monitoring System under the Background of New Engineering
- DOI
- 10.2991/icsshe-19.2019.83How to use a DOI?
- Keywords
- new engineering, teaching quality monitoring, achievement evaluation, training objectives
- Abstract
In the environment of new engineering, many universities are carrying out a new round of teaching reform and construction. In the new era of higher education, the educational mode has been changing from the original elite education to the popular, applied and other diversified training objectives. Based on the practical application of teaching quality monitoring, this paper puts forward a three-level monitoring system which involves the aspects of schools, colleges and research departments. It consists of four parts, i.e. teaching resources monitoring subsystem, teaching process monitoring subsystem, teaching information monitoring subsystem and teaching achievement evaluation subsystem, and it can be seen as an opportunity to realize the data acquisition, the data statistical analysis and the teaching quality. After long-term construction and development, schools and colleges have attached great importance to and fully supported the construction of teaching quality monitoring system, specialty, teaching staff and teaching conditions, and provided some strong guarantees. The proposed mode can generally provide an effective reference for training innovative, systematic and open talents.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zehui Mu AU - Zijian Cao AU - Baolong Liu AU - Juchao Lei PY - 2019/08 DA - 2019/08 TI - An Effective Teaching Quality Monitoring System under the Background of New Engineering BT - Proceedings of the 2019 5th International Conference on Social Science and Higher Education (ICSSHE 2019) PB - Atlantis Press SP - 894 EP - 897 SN - 2352-5398 UR - https://doi.org/10.2991/icsshe-19.2019.83 DO - 10.2991/icsshe-19.2019.83 ID - Mu2019/08 ER -