Application and Exploration of Artificial Intelligence and Edge Computing in Long – Distance Education on Mobile Network
In response to the demand for high-quality electronic information talents in the mobile network industry, in the situation of artificial intelligence (AI) to promote technological innovation, this paper conducts an overall design in the target system, curriculum system, teaching platform, teaching mode and teaching case. The practice education mode of teaching practice, engineering practice, innovation practice, and enterprise practice, which aims to improve students’ ability to solve complex engineering problems, is constructed. The mode breaks geographical boundaries between schools and enterprises to build the through-through experimental teaching course system based on artificial intelligence and edge computing and design a medical image intelligent analysis system project case based on Mobile Edge Computing (MEC), which improves students’ practical ability, engineering design ability, scientific research innovation ability, enterprise practice ability and mobile network application capabilities. At the same time, the hardware portability of the edge computing platform provides good conditions for long-distance education and the mobile network. This method is a beneficial attempt to cultivate high-level, diversified, and creative electronic information talents.
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Ref: Hou, C., Hua, L., Lin, Y., Zhang, J., Liu, G., & Xiao, Y. (2021). Application and Exploration of Artificial Intelligence and Edge Computing in Long-Distance Education on Mobile Network. Mobile Networks and Applications, 1-12.