Exploration of Computer Software Teaching in Material Science
- DOI
- 10.2991/978-94-6463-192-0_68How to use a DOI?
- Keywords
- computer software; material science; teaching exploration; online and offline learning
- Abstract
To meet the needs of training diversified and innovative outstanding engineering talents in the future, a series of computer software teaching in material science have been carried out, which play an important supporting role in improving college students’ ability to solve practical problems. Guided by the new development concept, this paper puts forward five teaching modes of computer software teaching in material science and introduces some experience and inspiration for curriculum reform. The progressiveness of innovative teaching means, the integrity of coordinated teaching content, the sustainable development of green teaching resources, the effective management of open teaching process, and the suitability of sharing teaching resources can improve the professional computer software application ability, the comprehensive engineering quality and the practical innovation ability. We look forward to providing a useful reference for the curriculum reform of relevant colleges and universities.
- 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 - Xinggang Chen AU - Yanqing Cai PY - 2023 DA - 2023/07/04 TI - Exploration of Computer Software Teaching in Material Science BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 521 EP - 528 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_68 DO - 10.2991/978-94-6463-192-0_68 ID - Chen2023 ER -