Abstract
The rapid development of a new generation of information technology and its widespread application in colleges and universities have promoted profound changes in campus informatization. On the one hand, wireless campus networks as the main infrastructure of digital campuses are gradually popularized in domestic colleges and universities, expanding the campus information network coverage. This article is aimed at studying the addition of intelligent algorithms to wireless network communications to optimize and build autonomous mobile learning for cloud education. In order for children to communicate with teachers face to face, no matter where they are, this article proposes how to reduce the energy loss in wireless communication and find the best intelligent algorithm to realize the cloud education mobile learning platform. Experimental results show that the transmission delay of the wireless communication system of this method is significantly shorter than that of the other two methods, close to 5%, which speeds up the data transmission speed of the wireless communication system. It can be implemented under time‐sensitive conditions and has high practical application value. The wireless network communication system of this method has a low packet loss rate and less wireless network data transmission errors, which is nearly 10% lower than the other two methods, thereby improving the data transmission power of the wireless communication network.
Highlights
Students from Hong Kong’s Pui Ching Middle School can use their mobile phones to answer teacher’s questions in real time in the classroom, improving the interactivity of learning. It is an inevitable product of cloud computing: one is the integration of cloud computing memory, which provides a platform for integrating massive learning resources, and two is cloud computing technology can effectively solve the problem of “information omission, insufficient storage, and limitations” of mobile learning media
The first important thing is to have digital teaching content, and the second is to use mobile media as learning tools, such as mobile phones, tablets, computers, and TVs, and teachers and students must be on a separated status; this is the criterion for mobile learning, as shown in Figure 4 [12]
The learning that cloud education will bring to us will be when we are at home, turn on the computer or mobile phone, and wait for any mobile terminal device that can access the Internet, and timely check the missing and fill vacancies of what we learned on the day, summarize, and review; on the bus, complete the day’s assignments which are automatically submitted; while traveling or doing other things while listening to teaching videos, or learning the latest information, we will be in the cloud campus, the smart campus of the cloud classroom
Summary
The American National Institute of Standards and Technology is a standardization organization in the United States It defines cloud computing as a new Internet computing method. Students from Hong Kong’s Pui Ching Middle School can use their mobile phones to answer teacher’s questions in real time in the classroom, improving the interactivity of learning. It is an inevitable product of cloud computing: one is the integration of cloud computing memory, which provides a platform for integrating massive learning resources, and two is cloud computing technology can effectively solve the problem of “information omission, insufficient storage, and limitations” of mobile learning media. With the rapid development of wireless network communication, we will find that our learning will become more convenient and effective
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