Research Article
Open Sharing of Digital Education Training Resources Based on Machine Learning
@INPROCEEDINGS{10.1007/978-3-030-82565-2_12, author={Jichao Yan and Jingya Zheng}, title={Open Sharing of Digital Education Training Resources Based on Machine Learning}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Machine learning Digitization Education practice Resource sharing}, doi={10.1007/978-3-030-82565-2_12} }- Jichao Yan
Jingya Zheng
Year: 2021
Open Sharing of Digital Education Training Resources Based on Machine Learning
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_12
Abstract
In order to solve the problem of poor security caused by data explosion in the traditional open sharing method of digital education training resources, this paper proposes a machine learning based open sharing method. Based on the national general control protocol standard, a control protocol of education and training resource sharing service based on GCCP gateway is constructed. With the support of the control protocol, support vector machine is designed by using machine learning ability, support vector machine is used to process resource data, and resource classification is realized. With the support of cloud computing mode, resource is open and shared. Experimental results show that the proposed open sharing method based on machine learning has short response time and low memory leak probability, and the security of the method is improved.
