College students’ creative ideological and political curriculum should combine current development in education, adhere to associated norms and rules, and adapt educational principles and procedures to ensure balanced success. IPE can produce significant results when using several methods to make ideological and political education material. Effective education must be evaluated with the most efficient and emerging technology. Therefore, this paper presents a deep learning model for teaching quality analysis (DLM-TQA). The proposed model implements a teaching error feedback mechanism associated with knowledge sources and audio and video source data from the classroom produced in the teaching process. The model produces reports of teaching irregularities by correlating subjective data with empirical data. The research leads to strengthening teacher instructional methods, learning approaches, and teacher management modes. It has valuable references for developing teacher education frameworks, creative teacher preparation models, and excellent teachers’ training plans. The experimental results based on student evaluation in political education are Students Political Evaluation Ratio is 87.66%, Students Virtual Learning Performance ratio is 88.77%, Innovative Thinking Percentage ratio is 84.5%, Reducing risk in political teaching Ratio is 82.26%, and Students efficiency ratio is 93.80%.

A deep learning model for innovative evaluation of ideological and political learning

The curriculum ideological and political education (CIPE) has caused the attention of China’s leaders and state departments in Chinese education, but its effect assessment is still an open issue should be address for the efficient and effective implementation of CIPE. The engineering education conception has been widely adopted in Chinese higher education, in recent years, due to its effectiveness. Therefore, in this paper, under the background of Chinese engineering education, we study the CIPE effect quantification. We propose a CIPE effect assessment system for higher education, and a CIPE effect quantitative method based on the achievements of graduation requirements for each student. The proposed system provides visualization information of achievements and CIPE effect for students and teachers. This helps students to locate themselves in their major learns, and teachers to continuously improve their teaching methods. Keywords—Curriculum ideology and politics; assessment; engineering education; ideological and political education; outcomesbased education

/pdf/an-effect-assessment-system-for-curriculum-ideology-and-1onvy79v.pdf

An Effect Assessment System for Curriculum Ideology and Politics based on Students’ Achievements in Chinese Engineering Education

The evaluation of the literary and artistic carrier of the political as well as the ideological education of college students is an important research topic in contemporary college education concepts. Since it consists of multiple variables, there are still many difficulties in evaluating the ideological productivity of college students. The same statement is true for political education as well. This paper builds a model for the literary and artistic carrier of the political as well as the ideological education of college students based on the backpropagation neural network (BPNN) structure. Furthermore, we study the current status of the literary and artistic carrier of the political along with the ideological education of college students. This paper implements the BP neural network to model the literary and artistic carrier of college level graduate students’ political and ideological education in order to analyze the dynamics of contemporary college students’ ideological differences. Finally, we provide an adequate theoretical basis for inquiry, from qualitative description to quantitative analysis. The suggested approach may successfully avoid the old model’s instability and sluggish convergence issues as well as significantly increase the correctness of the evaluation findings for literary and artistic carrier of the political as well as the ideological education of college students.

A BP Neural Network Model for Evaluating the Literature and Art Career of College Students’ Political and Ideological Education

Based on the current situation of ideological and political education in universities under the background of the new era, this paper summarizes the existence collaborative educational mechanism of ideological and political education and curriculum ideological education under the background of the great ideological and political education. There are some problems such as the separation of ideological and political curriculum, the lack of integration of Chinese modernization theory into the ideological and political education, the emphasis on external form and the lack of internal coordination. To this end, the relevant countermeasures are put forward: jointly excavating the elements of ideological and political education, integrating the connotation of Chinese modernization, enriching the form of ideological and political collaborative education, and improving the evaluation system of ideological and political collaborative education. Colleges and universities should build a whole-person, whole-process, all-directional “great ideological and political course” curriculum system, break the past ideological and political courses of the status quo, the implementation of moral and political roots. This task is to achieve the educational goal of training qualified builders and successors for the socialist cause. 

Research on the Cooperative Education Mechanism of Ideological and Political Education and Curriculum Ideological Education in Universities from the Perspective of Chinese Modernization

The strengthening of comprehensive quality education of college students in colleges and universities has been more and more concerned and accepted by people. The educational evaluation of college students should not only conform to the objective reality but also ensure that it is effective. However, the evaluation indicators in the current education evaluation are grayscale, qualitative, and difficult to assess. Aiming at this problem, this study proposes an improved CW-PPCC-based evaluation algorithm for college students’ education, which quantifies the qualitative indicators that are difficult to measure in the form of data, using AHP and data envelopment. On the basis of big data, the correlation coefficient of product distance quantitatively evaluates the quality of undergraduate education and realizes an effective evaluation of the education quality of college students. The experimental results show that the algorithm can effectively realize the evaluation of education quality, and has high accuracy and high application value.

/pdf/new-media-college-students-education-evaluation-system-based-2du29nlh.pdf

New Media College Students’ Education Evaluation System Based on Improved CW-CPCC Algorithm

Digital twin (DT) has been applied to increasingly complex systems, including environments, energy, and digital cities, due to advancement of data collecting, high-speed networks, big data, artificial intelligence, and other technologies. Because of the complexity of the actual world and newly suggested criteria for the construction of the linkage between the real and virtual spatial, developing and using DT has been significantly hampered. The classic modeling approaches of separating expression from analysis have grown to be a significant barrier. These problems can be resolved due to the benefits of geometric algebra (GA) expression and computation in multidimensional space. The paper studies the concept of DT, employs the essential principles of GA as a tool, and proposes the DT’s modeling and analysis methods. To investigate how DT is formulated and built, a typical multi-factor coupling scenario of passive infrared sensor (PIR) was presented as an example. The results demonstrate the effectiveness of the approach presented in this paper in simulating human-sensor interactions, producing reaction records in real space, and successfully deriving the pedestrian trajectory from PIR recordings. The study presented in this article offers fresh perspectives on how to build DT in complicated scenarios and may also shed new light on how to analyze human behavior using PIR. 

How Does Geometric Algebra Support Digital Twin - A Case Study with the Passive Infrared Sensor Scene

With the development of informatization, in order to improve office efficiency and manage students more effectively, universities have produced many management systems, such as library management systems and educational management systems. These systems mostly manage student information and other information in an integrated manner. The refinement of each module, due to the large number of colleges and universities, graduates and enrolls a large number of students every year, and the archiving of students' ideological and political courses and students' ideological and political evaluation is quite complicated. Some college management systems may only provide ideological and political courses. Course information and student test scores did not specifically manage the student's ideological and political education assessment and assess the student's psychological activities based on the student's daily performance, nor did they provide detailed course scheduling information for specific ideological and political related courses. Therefore, colleges and universities should also implement detailed information management for students' ideological and political education methods, which can improve management efficiency and reduce unnecessary human resources. The management system is developed by the Java[1-3]development language through Myeclipise as a development tool. The mysql database is used as the background to realize the information management of the ideological and political education of college students. It can promote the detailed management of all aspects of students' information management. Service school as well as students. And the machine learning algorithm is added. Through the previous students' data, the classification model is trained by Logistic regression algorithm to evaluate the students' ideological and political good condition.

https://iopscience.iop.org/article/10.1088/1742-6596/1176/4/042067/pdf

Design and Implementation of Ideological and Political Education Evaluation System

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How Does Geometric Algebra Support Digital Twin - A Case Study with the Passive Infrared Sensor Scene

Design and Implementation of Ideological and Political Education Evaluation System