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.
The development of teaching technology and the application of modern teaching means is one of the important standards of educational modernization. Multimedia technology is an important part and manifestation of the application of modern educational technology. Modern teaching means participate in music teaching, which bring vitality to the reform and development of traditional teaching. With the popularization of multimedia in music teaching, there are many problems in understanding and classroom design. Whether it is reasonable to use multimedia in music teaching is of great significance to perfect the theory of music teaching and standardize the construction of music subject. With music teaching in colleges and universities as the research subject, this paper analyzes the application and teaching strategies of multimedia technology in the music teaching in colleges and universities, which improves students in colleges and universities continuously in the new atmosphere of science and technology teaching and in combination with the specific teaching environment.
Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice.
<p>The rapid development of information technology and the steady improvement of the national economy have promoted the increasing popularity of Internet hardware equipment. As a compulsory course for undergraduates, computer basic teaching is of great importance in the current social environment. In view of the current situation of basic computer teaching in non-computer majors in colleges and universities, this paper focuses on the research and discussion of the specific reform ideas of basic computer teaching, in order to provide scientific theoretical basis for the cultivation of compound computer talents.</p>
In this paper, the mathematical model and algorithm based on knowledge forgetting curve are studied. Through the analysis of the current mathematical modeling and application of “knowledge forgetting curve”, the artificial intelligence method of fuzzy mathematics knowledge and differential modeling is adopted. This paper puts forward the mathematical model and algorithm design of the new “knowledge forgetting curve”, which aims to improve the intelligence of the software and bring a new learning experience for the teaching evaluation of the education system in colleges and universities. The fuzzy logic theory is applied to the teaching evaluation system of higher learning pedagogy, according to pedagogy and other related theories, combined with the current teaching evaluation indicators of colleges and universities, the teaching evaluation indicators of higher learning education are set according to certain requirements. The sample wood data is divided into two parts by using the fuzzy logic principle, and the training model is obtained by training the sample data in the evaluation system, and the training model is used to intelligently evaluate and analyze the prediction data.
The development of AI technology has affected all walks of life in society, and then brought about the urgent demand for intelligent, compound and applied talents. Through the analysis of the current financial industry, finance and other industries, combined with the current situation of compound talent training in Financial Colleges and universities, the construction path of the "AI" special program in financial application colleges and universities is proposed, and the specific implementation plan of the course construction is described from the education objectives, curriculum objectives, teaching objectives, teaching plans and other aspects.
Computer Teaching in Colleges and Universities—On the Orientation of Talent Training Objectives in Colleges and Universities