Research on the Construction of Intelligent Tourism Cloud Experiment Teaching Platform
- DOI
- 10.2991/978-94-6463-012-1_54How to use a DOI?
- Keywords
- Smart Tourism; The Internet; Teaching Reform
- Abstract
With the proposal of the concept of “smart tourism”, the arrival of the Internet era has brought great changes to the tourism industry, and smart tourism has become an important trend of tourism development. At present, smart tourism supported by the Internet of Things, big data and cloud computing technologies has become the inevitable development of tourism. It has become urgent to cultivate talents in the direction of smart tourism. As the key technology of smart tourism, big data analysis technology is the core technology course of smart tourism talent training. This paper puts forward the wisdom based on education big data technology for tourism professional direction information curriculum teaching mode reform, the wisdom tourism information course teaching status for discussion, aims to build wisdom tourism cloud experiment teaching platform, discusses in the process of wisdom tourism talent training, data science course teaching problems and reform practice.
- 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 - Fei Deng PY - 2022 DA - 2022/12/09 TI - Research on the Construction of Intelligent Tourism Cloud Experiment Teaching Platform BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 482 EP - 489 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_54 DO - 10.2991/978-94-6463-012-1_54 ID - Deng2022 ER -