Abstract
Aiming at the problems of slow teaching resource sharing rate, long platform response time, and low student learning efficiency in traditional ideological and political learning platforms, a research on the construction of intelligent media ideological and political learning platforms based on artificial intelligence technology is proposed. We build an artificial intelligence open source development platform framework based on the cloud platform and use the Ceph method to optimize the storage of artificial intelligence training platform data. Under this framework, we design the business process and business module service architecture of the intelligent media ideological and political learning platform. Based on the K‐means algorithm, the intelligent media ideological and political learning platform resource management module is designed, the teaching resource database is constructed, and the teaching resource sharing model component module is designed to realize the construction of the intelligent media ideological and political learning platform. The experimental results show that the sharing rate of ideological, political, and educational learning resources on the platform is relatively fast. The response time of the platform is 0.08 s when the amount of ideological and political teaching resources is 16000 MB. Students who are interested and very interested in the teaching account for 89% of the total.
Highlights
Journal of Mathematics efficiency of learning and time utilization has become one of the topics considered in the innovation of current education and teaching methods [2]. erefore, in order to strengthen college students’ interest in learning this course and improve learning efficiency, it is very necessary to effectively adopt teaching methods to cultivate students’ interest in ideological and political courses
On the basis of K-means algorithm, Section 3 of this paper presents the design of resource management module of the intelligent media ideological and political learning platform. en, the experimental analysis is carried out in Section 4 to verify the fluency and strength of the proposed method
In order to build a smart media ideological and political learning platform, first build an artificial intelligence open source development platform framework based on the cloud platform to improve the deficiencies in the model training process and improve the development efficiency of the smart media ideological and political learning platform. e framework uses the combination of Docker technology + Kubernetes cluster to build an artificial intelligence open source platform
Summary
Received 23 November 2021; Revised 14 December 2021; Accepted 17 December 2021; Published 19 January 2022. E biggest feature of the ideological and political course is its inherent moral education, which can prompt students to successfully complete the transformation of knowledge, affection, faith, intention, and behavior It has an irreplaceable effect on the development of college students’ physical and mental health and plays a decisive role in the entire curriculum system. The Kubernetes scheduler plays a key role, which is equivalent to a hub connecting various parts It can combine the set scheduling algorithm to establish the association between the pod and the specific host node in the cluster and write the associated information in the etcd, so that each part maintains a normal operating state, so it has the function of connecting the previous and the next. Max Resource Usage Priority Optimization Algorithm. e Max Resource Usage Priority algorithm is used to improve the computational efficiency of the artificial
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