scholarly journals Optimization of Ideological and Political Education under the Epidemic via Mobile Learning Auxiliary Platform in the Era of Digitization

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Lizhe Zhang ◽  
Juan He

In the digitized era, life has become simpler with the increased information technology. The Education Department in the whole world is facing a tremendous revolution with the development. The traditional classroom study is converted to a modernized and digitized classroom with visualization. This modernization has increased the learning capability of the students with an increase in student and teacher interaction. From this teaching and learning process, most colleges and universities have improved performance in preparing course materials, effective teaching, and independent learning among the students in the theoretical courses. Ideological and political education (IPE) is a theoretical subject that is taught and understood at higher education institutions, such as colleges and universities. A hybrid hierarchical K -means clustering for optimizing clustering with unsupervised machine learning is proposed to analyze the student performance and concluded that the proposed algorithm shows improved performance than the K -means algorithm.

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.


2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Linfei Liang ◽  
Yao Lei

In recent years, with the development of "guiding outline of Ideological and political construction of college curriculum" and "five focuses", the ideological and political education in Colleges and Universities has become more and more important. With the development of the strategy of "Ideological and political education of curriculum", the infiltration of traditional culture into the ideological and political education in Colleges and universities has become the focus of the school and society. From the perspective of culture itself, Chinese excellent traditional culture is a vivid teaching material for college students' patriotism education, an important resource to cultivate socialist core values, and an important source to nourish socialist moral construction. Therefore, in the context of the new era, college teachers should base on the actual development of students, grasp the connotation of the times, optimize the curriculum system, wake up the students' sense of cultural identity and belonging, and truly implement the fundamental task of "moral education".


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