Network teaching target classification system based on cloud computing technology
Dahang Fan, Lin Chen, Tianming Feng · International Journal of Information and Communication Technology · 2020
Aiming at the problems of low security, low storage utilisation and low classification accuracy of the current network teaching target classification system, a classification system based on cloud computing technology is proposed. Considering the above design functions from the perspective of teachers and managers, the teacher's functions are resource management, sub-category management, information induction, and student management. The functions of managers are unit management, classification management, subject management, teacher management. Through the classification management method and resource management method, the classification of teaching resources is realised. The TEM based on cloud computing technology adjusts the resource classification result through clear and detailed resource data structure, and combines feature extraction, training algorithm and classification algorithm to complete the network teaching resources classification. The experimental results show that the security, storage utilisation and classification accuracy are high, which provides a guarantee for the development of the network teaching target classification system.