[Retracted] Research on the Construction of Intelligent Media Ideological and Political Learning Platform Based on Artificial Intelligence Technology

Wang, Jingsheng; Hu, Siyuan

doi:10.1155/2022/6511962

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some researchers use a vivid metaphor to describe the random forest algorithm's ideas: we build a decision tree that is completely divided according to different characteristics, and then, each tree, in fact, is proficient in selecting narrow domain experts. Now that we have a large number of experts in the field of proficient in bad, the algorithm will greatly improve the model's accuracy [15]. A new problem, such as new input data, can be viewed from a variety of angles, with the end result being voted on by a panel of experts.…”

Section: Random Forest Decision Tree Constructionmentioning

confidence: 99%

Resource Sharing Algorithm of Ideological and Political Course Based on Random Forest

Lei

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Three aspects of the system’s online resource distribution and application are built around subject, object, and intermediary resources. The invention relates to a method for allocating resources based on the random forest algorithm. The resource allocation process entails the following steps: constructing a mathematical model of the resource allocation process, defining a mathematical model of the resource allocation process for the target object, and designing the cost function. The training data set for random forest is constructed using the classification concept. It is based on the mathematical model of resource allocation and cost function. Generation of random forests and prediction of target objects are based on historical data. Resource allocation steps are based on predictive structure. The invention provides a resource allocation method that satisfies task completion degree constraints and includes a resource allocation algorithm based on random forest with a high probability of finding an optimal solution. It also addresses the issue that intelligent optimization algorithms such as genetic algorithms are prone to fall into local optimum.

show abstract

Section: Random Forest Decision Tree Constructionmentioning

confidence: 99%

Resource Sharing Algorithm of Ideological and Political Course Based on Random Forest

Lei

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Such as the importance of the ideological and political courses has not been highlighted, the content of the teaching materials is not vivid enough, they lack relevance, the structure of the teaching team needs to be optimized, the synergistic effect of the ideological and political courses with various types of professional courses is insufficient, the synergy of the ideological and political courses has not been fully formed, and the atmosphere of the whole society to support and care for the construction of the ideological and political courses is not strong enough, etc. [12][13][14][15]. To solve these problems, it is necessary to start with the concept of educating people, educating people method, teaching mechanism, teacher team, and other teaching evaluations, adhere to the principle of being peopleoriented, promote the reform and innovation of big ideological and political courses, and guide the construction of a new pattern of big ideological and political courses in colleges and universities with dynamic teaching evaluation [16].…”

Section: Introductionmentioning

confidence: 99%

The Construction and Application of the Effectiveness and Dynamic Teaching Evaluation Model of Big Civic and Political Science Courses

Dai,

Kang

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

How to make the teaching quality of the Civics and Political Science class continuously improve, the teaching effectiveness is highlighted in the growth of students, and the comprehensive development of students is effectively promoted, which has become an important part of the educational evaluation reform of the Civics and Political Science class in colleges and universities. Based on the construction concept of the objectivity evaluation index system, this paper determines the evaluation index system of the effect and dynamic teaching of the big Civic and Political Science class. It adopts expert knowledge to pre-process the research data. According to the judgment affiliation degree and weight set, determine the single-factor evaluation matrix of evaluation indexes, calculate the weight value of evaluation indexes, and then complete the construction of a fuzzy comprehensive evaluation model oriented to the effect of big Civic and Political Science teaching and dynamic teaching and based on the data analysis software, carry out the comprehensive evaluation and analysis. The results show that the size of the weight value of the first-level indexes in order of magnitude, dynamic teaching process A2 (0.5478) > teaching preparation A1 (0.2353) > big Civics effect A3 (0.2169), indicating that the weight accounted for by the dynamic teaching and teaching preparation is relatively large and there is a not-so-small gap between the weight value of the big Civics effect A3, so the teaching of big Civics courses should focus on teaching preparation and dynamic teaching. This study can not only enrich the teacher’s Civics teaching method, but also improve the students’ Civics level, which has a promoting effect on promoting the development of the teaching of Big Civics courses in colleges and universities.

show abstract

“…The algorithm's high recognition accuracy in student classification and human body recognition has been evaluated experimentally. Literature [18] constructed an intelligent media ideological and political learning platform based on the K-means algorithm as a way to optimize the problems of slow sharing rate of teaching resources, long response time of the platform and low learning efficiency of students. The results show that the platform has good results in terms of sharing teaching resources, response time, and student learning efficiency.…”

Section: Introductionmentioning

confidence: 99%

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Combining Data Fusion Model in the Context of Exquisite Parenting

Jing

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper focuses on the design of an educational early warning mechanism based on the fusion of ideological education and multi-featured data so as to manage the educational situation of students in colleges and universities efficiently and accurately. In this paper, the wavelet transform, discrete Fourier transform, and lag sequence analysis algorithms are used to effectively extract temporal features of students’ behaviors. PageRank and Hit’s algorithms are employed to extract features related to student concept maps. The emotional tendencies recognition interface provided by Tencent Cloud was used to obtain the emotional features of students’ speeches. Following this, a multi-feature fusion was performed to depict the students’ learning. A Hive-based data warehouse is used to integrate heterogeneous data from multiple sources. Finally, the education early warning model based on multi-feature data fusion is introduced, and the operation mechanism of early warning mechanism for ideological and political education in colleges and universities is established. To verify the effect of this paper’s model against other algorithms, this paper’s model achieves the optimal performance in the F1 score in negative samples, which is 0.91, followed by the TPA-LSTM algorithm, which is 0.88. Before the optimization of the early warning mechanism, the average per capita absenteeism of the students was 1.32 sessions, and the rate of disciplinary actions was 0.0291. At the end of the academic year, the average per capita absence rate decreases to 1.24 sessions, and the disciplinary action rate decreases to 0.0245.

show abstract

[Retracted] Research on the Construction of Intelligent Media Ideological and Political Learning Platform Based on Artificial Intelligence Technology

Cited by 4 publications

References 7 publications

Resource Sharing Algorithm of Ideological and Political Course Based on Random Forest

Resource Sharing Algorithm of Ideological and Political Course Based on Random Forest

The Construction and Application of the Effectiveness and Dynamic Teaching Evaluation Model of Big Civic and Political Science Courses

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Combining Data Fusion Model in the Context of Exquisite Parenting

Contact Info

Product

Resources

About