Quality Evaluation Of Students Research Articles

The Application of Analytic Hierarchy Process Method in the Evaluation of Educational Quality in Colleges and Universities

Talent quality is the lifeline of colleges and universities. Based on employment guidance, this paper establishes a student quality evaluation and control system including knowledge, moral character, and ability, and uses the Analytic Hierarchy Process (AHP) method to analyze the factors affecting the quality of education in colleges and universities. In addition, some suggestions are provided to improve the quality of students.

Innovation of Student Quality Evaluation Model in Vocational Education under Cloud Computing Environment

Abstract This paper takes cloud computing technology as the core, constructs a student quality evaluation model, collects and analyzes students’ learning data through cloud computing technology, proposes the direction of optimization and reform of the educational quality evaluation system, and establishes a comprehensive quality evaluation management system for students. Combining AHP and entropy weight methods, the subjective and objective weights of each index are calculated, and the comprehensive weights are determined through game theory. Based on the evaluation method of students’ comprehensive quality, the cloud model is established, the normal cloud digital features are calculated, and the mapping of qualitative concepts to quantitative representations is realized through the forward cloud generator, which completes the construction of the evaluation index system of students’ comprehensive quality. The evaluation cloud model is obtained by using the digital features calculation, and the cloud is located between levels 8 and 9 because E x = 8.5265, which has a closer fit with level 8, indicating that the comprehensive quality of the student belongs to the good upper level. In the comparison of the innovation of the student quality evaluation model, the comprehensive theoretical quality of the students in the experimental group is 8.215 points, and the P value is 0, significantly higher than that of the control group students, and the model innovation effect is remarkable.

Effectiveness analysis of university education management applying principal component analysis method

Abstract This paper examines the effectiveness of educational management in colleges and universities by analyzing the comprehensive quality evaluation of students through principal component analysis. In the study, this paper constructs a set of index systems for students’ comprehensive quality evaluation obtains principal components and determines the number of retained principal components by standardizing the original data and calculating the eigenvalues and eigenvectors of the correlation coefficient matrix. Through detailed assessment and analysis of student’s basic information, personal comprehensive quality evaluation and overall quality evaluation, conclusions about the effectiveness of education management in colleges and universities were drawn. The analysis showed that the overall evaluation scores of students A, B, C, D and E, 5 were 84.7, 90.7, 74.79, 78.09 and 84.86, respectively. From the evaluation results, the student's overall quality development was relatively balanced, and the overall evaluation was good.

Organic integration of ideological and political education and entrepreneurship education based on artificial neural network

Entrepreneurship is a systematic project, and it needs entrepreneurial knowledge, skills, psychology and many other basic qualities. Therefore, it is imperative to educate college students on entrepreneurship. IPE (Ideological and political education) courses offered by universities should adhere to the spirit of the Chinese dream and integrate with 2E (Entrepreneurship Education), which will not only provide more theoretical guidance for college entrepreneurs in practice but also promote their practical experience to theoretical innovation and promote their all-round development. Therefore, this research is based on ANN (artificial neural network) to study the organic integration of IPE and entrepreneurship education. According to the practice of carrying out quality education in our university, a set of index systems suitable for comprehensive quality evaluation of students in engineering colleges is established. Use BPNN (BP neural network) method to construct the test model, and IL (Input layer) is responsible for receiving external input information. Through the learning rules in HL (Hidden layer), this paper refers to the weight values of various quality indicators, transforms the input values, and adjusts the deviation of test results. OL (Output layer) is responsible for outputting calculation results, that is, evaluating students' comprehensive quality information. The results of BPNN show that the actual value and the expected value are within a reasonable range, and the maximum relative error is 1.607 %, which meets the accuracy requirements. The established evaluation index system of 2E is reasonable and effectively reflects students' innovation and entrepreneurship abilities.

An artificial intelligence method for comprehensive evaluation of preschool education quality.

The evolution in the quality of teaching for preschool education is worth studying. In this article, we solved the qualitative problems in the comprehensive quality evaluation by suggesting a method of quantitative combination and establishing a set of indicators suitable for the comprehensive quality evaluation of students in the kindergarten. According to the experience summed up by previous scholars, the weight of each index is obtained by an analytic hierarchy process. This study analyzed the defects and causes of fuzzy comprehensive evaluation and the neural network model in the construction of early childhood and preschool education's comprehensive quality evaluation model and propose a Feedforward Neural Network (FNN) model. FNN combined with neural network (NN) and fuzzy logic characteristics introduces fuzzy concepts and fuzzy inference rules into neural networks of neurons, the connection power, and network learning. It improves the learning ability of NN and fuzzy evaluation of the power of expression and effectively exerts the advantages of fuzzy logic and neural network to make up for their shortcomings. However, the convergence speed is very slow. To solve this problem, the similarity measure was used to improve the number of hidden layer nodes of the network. The effectiveness and feasibility of the FNN improved hidden layer nodes are verified by an example so as to realize the automation of comprehensive quality evaluation.

Research Plan of Student Quality Evaluation Mode Based on WeChat Official Account of Intelligent Machinery "Cloud Quality" Platform

WeChat official account as a new communication and social mode of Internet technology application is being widely and deeply integrated into the management of university students. In the evaluation of students’ quality, the official account of WeChat is used to give full play to the characteristics of the comprehensive touch and precision push of mobile social networking. Combined with the characteristics of students’ quality education, we promote the system improvement and mode innovation of quality education evaluation, and enhance the students’ participation enthusiasm, forming a new student management mode that combines and promotes each other.

The Construction and Application of Student Quality Evaluation System in Application-Oriented Universities Based on Decision Tree Algorithm

<p style="text-align: justify;"><span style="font-family: "times new roman";">The continuous growth of the amount of data puts forward higher requirements for data storage, management and analysis. People urgently need a new generation of computer technology and tools, which can intelligently extract useful information and knowledge from a large number of data. Applying data mining technology to education will help to find hidden useful information from a large number of educational data and guide educational work. This paper first selects the evaluation index, and then sets the corresponding weight of the index. At the same time, combined with the actual situation of application-oriented universities, using the constructed application-oriented university student quality evaluation system, this paper develops a set of evaluation system based on Internet technology, intuitive interface and simple operation, which can realize the dynamic modification of each evaluation index and weight to adapt to the education evaluation With the continuous development of the theory and the demand of the times for talents, and with the existing Wan fang Data System of student work fine management department to achieve data sharing. The results show that with the increase of the number of attributes, the accuracy value of the test set and the average absolute error of the training set are decreasing, but when the number of attributes is 3, there is an inflection point. The time (s) of the attribute selection algorithm is 28.82% less than the original data, and the number of cuts is 28.6% less than the original data The application of sex selection algorithm in the data set of students' quality evaluation in Application-oriented Universities greatly reduces the amount of calculation and improves the efficiency of the system.</span>

Student Evaluation of International Interaction and Communication Opportunities at University

This paper addresses the university campus environment for international interaction and communication by studying self-evaluation of local and international students. The research aims to determine which factors of the formal and informal learning environment as well as social interaction outside university influence students’ quality perceptions of opportunities for international interaction and communication at university and how these factors affect student evaluations. The study developed and tested a measurement scale to assess the quality of international interaction and communication opportunities in higher education. The research is based on a quantitative survey of 200 students mainly from Nordic countries and Russia, and represent both domestic and international student perspectives. Item-by-item, factor and multiple regression methods were used for data analysis. Multicultural interaction and local community engagement are important driving factors of student quality evaluation of international interaction and communication. Multicultural interaction and worldview perspectives exchanges in class and ease of making friends with local students and international students had significant impact on quality perception of international interaction and communication for both international and local students. In order to improve students’ opportunities for international interaction and communication, universities should provide their students with regular opportunities to interact with one another during social campus events, clubs, and committees as well as extracurricular multicultural events organised by stakeholders.

Student Quality Evaluation amongst Tahfiz Science Schools in Malaysia

At present, there are three streams of Tahfiz Science School (TSS) in Malaysia, namely TSS wholly owned by the federal government, private, and private-state. Therefore, each TSS provider will implement its own Islamic education model. The objective of the study was to assess the impact of TSS education on students’ self-efficacy, self-confidence, and leadership qualities. Overall, the findings of the survey carried out revealed that students have high self-efficacy, self-confidence, and leadership. Nevertheless, there is a difference in self-efficacy among the different types of TSS. Such differences in the quality of students are partly due to differences in quality of teachers, curriculum, financial resources, and facilities and infrastructure of the TSS. These differences also reflect that there is no uniform tahfiz science education (including curricula). Therefore, a uniform education policy of TSS is necessary to sustain the quality of tahfiz science students and provide Islamic technocrats for the labour force.