Construction of Online Learning System of Construction Engineering Management Based on MOOC
- DOI
- 10.2991/978-94-6463-040-4_120How to use a DOI?
- Keywords
- MOOC; construction engineering management; Web technology; online learning system
- Abstract
With the rapid development of China's economy and science and technology, the overall development of the construction industry shows a good trend, which means that the construction industry will have a very broad development prospect and market in China in the next few years. Therefore, more and more students choose the major of construction engineering management when filling in their major. This major involves many courses, with a wide range of practical contents, which makes it difficult for most people to learn. The online learning system of construction engineering management based on Web technology developed in this paper, applying MOOC network teaching mode, provides a platform for teachers of famous schools to display their teaching ability and share teaching resources. The platform also provides students with an open, free and high-quality online learning system, which allows cash-strapped learners to obtain the richest teaching resources at the lowest cost, so as to improve their professional knowledge level, improve their learning enthusiasm and broaden their horizons.
- 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 - Rulun Peng PY - 2022 DA - 2022/12/27 TI - Construction of Online Learning System of Construction Engineering Management Based on MOOC BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 791 EP - 796 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_120 DO - 10.2991/978-94-6463-040-4_120 ID - Peng2022 ER -