Design of Intelligent Cloud Computing Platform for English Writing Assisted Teaching System
- DOI
- 10.2991/978-94-6463-192-0_52How to use a DOI?
- Keywords
- English writing; Intelligent assisted instruction; cloud service platform; Fuzzy logic
- Abstract
In order to solve the problems caused by the heavy load of the traditional embedded software development teaching platform server, such as slow response speed and poor experience of users, an intelligent English writing auxiliary teaching system based on the cloud service platform was proposed [1]. Based on the cloud platform, the system manages the computer resources scattered in the server and the client in a unified way, so as to improve the efficiency of resource retrieval. In addition, based on the fuzzy logic model, the system can evaluate and evaluate students’ knowledge and learning outcomes according to their cognitive and knowledge acquisition preferences [2]. The real analysis results show that the proposed system has good performance and can play a positive role in improving students’ performance. Simulation results further verify the effectiveness of the proposed method [3].
- 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 - Haihong Liao PY - 2023 DA - 2023/07/04 TI - Design of Intelligent Cloud Computing Platform for English Writing Assisted Teaching System BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 402 EP - 408 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_52 DO - 10.2991/978-94-6463-192-0_52 ID - Liao2023 ER -