Student Evaluation System Research Articles

Influence of Non-academic Factors on the Overall Evaluation of International: Chinese Students and Their Adaptation to Universities

This article explores the impact of non-academic factors on the overall evaluation and university adaptation of international and Chinese students. The study involved non-academic factors such as family background, personality traits, learning environment, and social interaction. Data were collected through questionnaire surveys, in-depth interviews, and literature analysis. The results showed that factors such as family economic status, parents' educational level, family upbringing style, personality traits, interests and motivation, self-efficacy, adequacy of learning resources, learning atmosphere, use of online resources, teacher-student relationship, peer relationship, and cross-cultural communication significantly affect students' academic performance, mental health, and university adaptability. Based on this, this article proposes suggestions such as strengthening home-school cooperation, optimizing the learning environment, and promoting social interaction, in order to provide a reference for universities to improve their student evaluation system and enhance students' adaptability to university life.

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.

Retraction Note: Data monitoring in student psychological automatic evaluation system by using dynamic acquisition algorithm

Retraction Note: Data monitoring in student psychological automatic evaluation system by using dynamic acquisition algorithm

Research on virtual entertainment robots based on machine learning algorithms providing psychological health services for college students

In modern society, college students are facing increasing psychological pressure and mental health problems. In this context, virtual entertainment robots have become a promising form of mental health services, which can utilize machine learning algorithms to provide personalized psychological support and guidance by analyzing a large amount of psychological data and user information. Study the use of sample calculation and screening methods to determine the number of samples and perform feature selection to improve algorithm performance. Then analyze the detection effect and evaluate the effectiveness of the algorithm. By designing the architecture of a virtual entertainment robot and adopting anti-interference strategies to ensure that the robot can accurately recognize mental health information, text recognition technology was implemented, its effectiveness was evaluated, and further multi-source information recognition was carried out to improve recognition accuracy. Finally, a psychological health evaluation system for college students was constructed, and corresponding psychological health service strategies were proposed to meet the needs of college students. The results of this study indicate that virtual entertainment robots based on machine learning algorithms can effectively provide mental health services, providing support and guidance for the mental health problems of college students.

The Establishment and Application of a Vocational Ability Evaluation System for Students Specializing in Intelligent Manufacturing Equipment Based on COMET Technology

The Establishment and Application of a Vocational Ability Evaluation System for Students Specializing in Intelligent Manufacturing Equipment Based on COMET Technology

Online Student Monitoring and Evaluation System using Apriori Algorithm for Predicting Student Academic Performance

The study investigates the current student monitoring and evaluation system of Saint Michael College of Caraga with the goal of easy tracking of student academic performance and progression. The research employs a mixed-methods approach through the conduct of interview and utilizing online survey questionnaire. The perspectives of young female students regarding the current system and their suggestions for improvement were examined and analyzed using descriptive statistical method such as frequency distribution, weighted mean score, and standard deviation. The key findings indicate a generally positive perception of the existing system but highlight areas for improvement including addressing technical issues, accommodating diverse learning styles, ensuring system security and privacy, and providing personalized support to students. By engaging stakeholders and incorporating diverse viewpoints from the respondents, the research output contributes to the development of a robust monitoring and evaluation system capable of optimizing academic performance assessment and enriching the educational experience. The integration of Apriori Algorithm fosters informed decision-making for attaining student’s academic success

Innovation and Practice of Students' Evaluation of Teaching

Students' evaluation of teaching is to establish a platform between students and teachers, which can make them fully trust, so as to convey the real feelings of students and teachers, and improve the quality of teaching. However, in the actual implementation process, we pay too much attention to the evaluation of teaching results, which leads to the failure of the evaluation mechanism, which also leads to the failure of students' evaluation system. However, this does not mean that the student evaluation system itself is not good, this paper will analyze the existing shortcomings of the domestic university rating mechanism, and then give the solution strategy. At present, the innovation and ideological and political teachers in higher vocational schools still lack an effective training and performance evaluation system, and also ignore the era of "post class competition and certification", as well as the demand for knowledge and innovation ability of university teachers. Teachers are ordinary people and have great laziness. Teachers are not omnipotent. The quality of education cannot meet the requirements only by consciously lacking the restriction of system and evaluation mechanism.

Monitoring and improving student attention using deep learning and wireless sensor networks

Enhancing students’ attention during lectures is crucial concern for educators. Traditionally, teachers assess student focus subjectively, which can lead to bias. We propose using neural networks to detect and assess students’ attention by analyzing their physiological factors and facial expressions. This approach can identify students losing focus and help them refocus without teacher intervention. Our proposed method involves two steps. Initially, we utilize the EduViT model with Self-Supervised Learning (SSL) to determine students’ focus level. Subsequently, we implement a system that monitors student attention using a camera mounted in the classroom. Additionally, a device attached to each student's desk displays their concentration level in three different tiers via Light-Emitting Diode (LED), alerting them if they're drifting. The EduViT model is based on the MobileViT architecture, which includes Squeeze-and-Excitation (SE) blocks to enhance data connections between channels compared to the original. To optimize the model's weight calculation and prevent data redundancy, we utilize the Self-Supervised Learning Barlow-Twin (SSL-BT) method after feature extraction on the CelebA dataset. Our proposed model achieves a maximum accuracy of 66.51% and an F1-score of 54.60% in recognizing various facial expressions in the FER2013 dataset. Finally, we export the training outcomes of our model in the “tflife” format and integrate them into a practical student attention evaluation system. 3-state LED lights attached to each student’s desk notify them of their concentration level, helping them stay focused and improve their study discipline.

Research on the Evaluation Model of Students' Foreign Language Learning Situation based on Oriented Online Teaching Collaboration Platform

Internet + Education makes online teaching gradually penetrate the education industry, and makes the industry enter a great revolution based on information technology. The traditional student learning evaluation system cannot satisfy the actual demand of current learning evaluation. This paper constructs an evaluation model for the foreign language learning of online students. Firstly, the DBSCAN algorithm with distance optimization is used to conduct cluster analysis on the description indicators of student behavior, and the student groups with different behavior characteristics are obtained. Then the ANOVA F-test was used to extract the features of different student groups. Finally, a novel N-Adaboost algorithm based on multiple classifiers is proposed and a model is constructed to evaluate students’ foreign language learning. The experimental results show that the accuracy of the evaluation model is 74.02% in the pass and fail groups and 73.74% in the excellent and non-excellent groups. Students’ listening, speaking, and reading abilities are in a state of upward development overall through the online teaching collaboration platform, but their writing ability is obviously declining. There is a great improvement in foreign language vocabulary. This study provides a new perspective of thinking for the improvement of the quality of school teaching management, the analysis of students’ behavior, and the evaluation of learning situations, and provides a new solution for the problem of students’ learning situations in modern information teaching.

Analysis of the Implementation and Effectiveness of China's Double-Reduction Policy

In today's society, test-based education is a common educational model in the educational environment, and this phenomenon has been going on in China for more than 40 years, which not only leads to a large number of educational models into a sea of problems, but also causes the burden of students to become more and more serious. Therefore, the government enacted a reform in 2021 to improve this kind of education environment ----The Double Reduction policy, but in the implementation of the Double Reduction policy, some scholars found that there are still some implementation problems. The theme of this paper is to explore the implementation and effectiveness of the Double-Reduction Policy, and to analyze the reasons for the imperfect implementation of the Double-Reduction Policy from the different roles played by training institutions, schools, and teachers in the social structure by using the method of literature review. The following measures need to be implemented in order to change the problems under the Double-Reduction Policy: increase the tripartite cooperation between schools, teachers and parents and try to break the test structure in the educational environment; improve the evaluation system of students and pupils; limit the capitalist interference in training institutions and improve the content of teaching and learning in schools; improve the traditional concepts of parents and break the 'Prisoner's Dilemma' of information blockage; and improve the quality of teaching and learning in schools. The 'Prisoner's Dilemma' of information blockage is avoided by avoiding blind spending on training institutions.

Construction of evaluation system for students’ practical ability in sports training in colleges and universities

Abstract Sports training is the principal pedagogical approach to achieving educational objectives in college-level sports courses, where the demands on students’ practical sports skills are increasingly stringent. This study formulates an evaluation index system for the sports practice abilities of college students tailored to the contemporary requirements of sports training in higher education institutions. The entropy value method was employed to determine the weights of the indices in this system. Using colleges as a case study, the gray correlation model was applied to assess the comprehensive practical abilities of students, leading to the development of targeted sports training optimization strategies. Additionally, the effectiveness of these strategies was evaluated. The findings indicate that the weight coefficient for sports character is the most significant at 0.41659, highlighting its substantial role in overall practical ability. Beyond basic physical skills, significant improvements were observed in the experimental class’s sports cognition, health behavior, and sports character scores (P<0.05). The practical ability system proposed in this paper serves as a valuable guide for instruction and has proven effective in enhancing students’ practical sports skills.

AIGC enables the construction of academic evaluation system for undergraduate college students

AIGC enables the construction of academic evaluation system for undergraduate college students

Research on the Path of Improving Vocational Literacy and Talent Ability of Nautical Students in the Era of Artificial Intelligence

Abstract Nautical talents are the first resource and fundamental guarantee for the development of marine careers, strengthening the construction of nautical talents and realizing the effective supply of nautical talents have become the urgent task of building a strong marine country. This paper combines the basic situation of the current nautical personnel training and the training requirements of nautical personnel, constructs the vocational literacy and ability enhancement path of nautical students based on the integration of post-course, race, and certificate under the guidance of the OBE concept, and constructs the corresponding index system. Subsequently, combining the hierarchical analysis method and entropy weight method, the weights of the indicators in the evaluation system of nautical students’ vocational quality and talent ability are calculated, and the cloud model is utilized to evaluate the vocational quality and talent ability of nautical talents after cultivation. The results of the study show that the comprehensive evaluation level of the vocational quality and talent ability of the maritime students of Jimei University after the implementation of the pathway is “good”. Among the secondary evaluation indexes, the vocational concept evaluation cloud has the highest degree of affiliation, which is 9.31. This indicates that the vocational concept of navigation students is being cultivated at a very high level. The evaluation result of “vocational behavior” also belongs to the “good” level. The cultivation path proposed in this paper provides a reference for the enhancement of the vocational quality and ability of nautical talents, and it can improve the cultivation of nautical talents through the synergistic approach of government, industry, enterprise, and school, and guarantee the enhancement of the vocational ability and career expansion of nautical talents.

Research on the Evaluation Method of Online Learning Satisfaction of College Students Based on Hierarchical Analysis Approach

Abstract This paper adopts the hierarchical analysis method as the weight calculation method for the evaluation of online learning satisfaction, calculates the weights between the evaluation indexes, and constructs the evaluation system of college students’ online learning satisfaction. Combining the teaching experience, the characteristics of online teaching and the items recorded in the web logs in the online teaching platform, the judgment matrix for online learning satisfaction evaluation is established, and the reasonableness of the matrix is judged by the consistency checking method. Evaluation standards are formulated based on the online learning evaluation information, and the research on online learning satisfaction evaluation is designed, while the online learning satisfaction evaluation of college students is analyzed by using the method of statistical analysis. The results show that the comprehensive learning evaluation scores derived from the use of hierarchical analysis are significantly more objective than the traditional evaluation of students’ learning effectiveness using only the end-of-term test scores, with a score difference of 15, and more than 85.24% of the students based on the hierarchical analysis method of college students’ online learning satisfaction evaluation method, which is effective in promoting the students’ regular participation in online learning. The correlation coefficients of online learning experience with clarity of teaching goals and expectations, teacher-student communication and exchange, learning support services, learning motivation, learning hardware equipment and operability, and teaching methods are 0.491, 0.524, 0.435, 0.596, 0.542, 0.391, respectively, which are all significant at 1% level, i.e., only by guaranteeing a higher level of learning effect can we improve students’ satisfaction with online learning.

新时代背景下大学生素质教育发展性评价体系构建研究

This article focuses on General Secretary Xi Jinping’s important exposition on education and the spirit of the National Education Conference, based on “simultaneous development of five educations”, fully exploring the elements of the “Three Complete Education” and “Ten Education” systems, and building a “six-dimensional integration” developmental evaluation system of quality education for college students. The development evaluation system of college students can comprehensively evaluate the quality of college students from six dimensions: moral education, intellectual education, physical education, aesthetic education, labor education, and ability. It enables educators, students, parents, and society to pay more attention to the all-round development of students, and provides a way to improve the comprehensive development of college students, providing support for improving quality and cultivating innovative talents. Among them, the indicator system of moral education includes three indicators: values, moral quality and psychological quality; the evaluation of intellectual education is usually carried out through students’ academic achievements; the indicator system of sports includes body shape indicators, physical quality indicators, sports skill indicators and health-related indicators; aesthetic education It includes four dimensions: aesthetic understanding, artistic skills, artistic creation and participation level; labor education includes labor attitude, labor skills, labor habits and social responsibility; the construction of college student ability index system includes academic ability, practical ability and communication and cooperation ability.

Design and Implementation of Comprehensive Evaluation System for Vocational College Students with Innovative Thinking Training

Innovative thinking is the key ability to cultivate vocational college students' lifelong learning and adapt to rapidly changing society, and an effective evaluation system helps to understand the level of innovative ability of vocational college students, guide educational practice, and evaluate the effectiveness of innovative education. This study aims to design and implement a comprehensive evaluation system for vocational college students based on innovative thinking cultivation, which includes five dimensions: problem-solving ability, creativity, teamwork ability, future orientation, and communication ability. Through experiments, the impact of this evaluation system on the improvement of vocational college students' innovation ability is explored. In the first year of a certain vocational college, two groups of students were selected, and there was no significant difference in their innovative abilities in various aspects. One group was trained in a traditional way as a control group, while the other group was trained in an experimental group using an innovative thinking evaluation system to implement various dimensions of cultivation. One year later, compare the innovative thinking abilities of the two groups; Compare the experimental group before and after cultivation; Simultaneously conduct self-evaluation of the experimental group and comparison with teacher evaluation. The results showed that through the evaluation system designed in this experiment, vocational college students significantly improved their evaluation scores in various dimensions of innovative thinking, further verifying the effectiveness of the innovative thinking evaluation system in providing comprehensive evaluation of students' innovation ability, and proving that implementing the evaluation system can significantly promote the improvement of vocational college students' innovation ability. Research has shown that the comprehensive evaluation system for cultivating innovative thinking among vocational college students has a significant effect in providing comprehensive evaluation of students' innovative abilities. This will provide guidance for educational practice and provide powerful tools and methods for evaluating the effectiveness of innovative education.

PEDAGOGICAL DOCTORAL STUDENTS IN CHINA UNDER PRESSURE: AN EMPIRICAL ANALYSIS OF CSSCI JOURNALS

The prerequisite for doctoral students in Chinese universities to obtain their degrees was to publish a certain number of papers in designated journals, which is the main pressure on doctoral students in China. This study focused on the publication pressure of doctoral students in pedagogy in China under the policy of breaking the ‘five only’, which aims to diversify the evaluation criteria for academic quality and reduce the reliance on paper publications. The study analyzed the data of 36 pedagogical CSSCI journals from 2016 to 2020, and examined the trends and patterns of publishing pedagogy articles in these journals. The study also explored the factors that influence the publication pressure of doctoral students in pedagogy, such as the admission system, the expansion of doctoral enrollment, and the recruitment system for young teachers. The results show that Chinese pedagogy CSSCI journals are declining in number and are dominated by well-known scholars and institutions. Doctoral students in pedagogy face a more severe academic situation than university teachers, as they have to publish papers to graduate and compete for limited journal space. They also face the pressure of publication under the application-appraisal system and the system of “promote or leave”. The study suggests that colleges and universities need to break through the quantitative evaluation system of doctoral students’ academic achievements and pay more attention to the training system and academic culture that promote their physical and mental health and academic development. Keywords: breaking the ‘five only’, CSSCI journals, data statistics, pedagogical doctoral students in China, publication pressure

Construction and practice of student evaluation system in cultural tourism courses at universities

This paper aims to investigate the construction and implementation of a student evaluation system in cultural tourism courses at universities. Cultural tourism courses, as interdisciplinary subjects, place high demands on students' overall qualities. To better assess students' performance and achievements in the courses, it is necessary to establish an effective evaluation system. Through literature review and field surveys, this study explores the theoretical framework and practical methods to evaluate students in cultural tourism courses at universities. The research findings indicate that building a scientifically sound evaluation system can promote students' better understanding and mastery of course content, enhancing their academic level and overall abilities. Therefore, universities should prioritize the development of student evaluation systems for cultural tourism courses to improve education quality and cultivate outstanding talents with expertise in cultural tourism.

RETRACTED ARTICLE: Design of interactive evaluation system for college students’ psychological education based on improved KNN algorithm

RETRACTED ARTICLE: Design of interactive evaluation system for college students’ psychological education based on improved KNN algorithm

Application of image super-resolution recognition and artificial intelligence system in repairing students' psychological education problems

With the continuous development of society, people's life pressure is constantly increasing, and the mental health problems of college students are becoming increasingly prominent, bringing many challenges to their education and management. Universities should not only cultivate students' theoretical and professional knowledge and practical skills, but also attach importance to their mental health and effectively implement psychological education. Therefore, it is very necessary to develop and design a simple and effective student psychological evaluation system. As a new form of ideological and political transformation in universities in the era of big data, online ideological and political work has potential development space. It is necessary to carry out mental health education in universities, fully utilize online education forms, and improve ability of universities to repair mental health problems. Based on this, this system designs and implements software for typical image resolution based recognition and artificial intelligence. The use of B/S architecture in the development and use of. net technology and web server technology will enable more students to connect and use different terminals. In addition, an algorithm for image super-resolution recognition was proposed, which uses clustering convolution to improve residual blocks, improves modeling ability by extracting features on a larger scale, reduces the number of parameters to improve model calculation efficiency, and enables mental health educators and managers to work better. This article combines image super-resolution recognition technology with artificial intelligence technology to apply it to the process of psychological education in universities, thereby promoting the development of problem repair applications.