With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems su...With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems such as over-reliance on summative assessment,a single evaluation dimension,and lagging feedback.This study explores the innovative path of multiple evaluation systems in college English teaching empowered by AI,aiming to construct a dynamic,comprehensive,and personalized evaluation model.Through literature review,case analysis,and empirical research,it is found that AI technologies such as natural language processing,machine learning,and big data analytics can effectively support the diversification of evaluation subjects(teachers,students,peers,AI systems),the enrichment of evaluation dimensions(knowledge mastery,language competence,learning processes,and innovative thinking),and the intelligence of evaluation feedback.However,challenges such as algorithmic bias,data privacy risks,and the weakening of teacher-student interaction still exist.Finally,this study proposes countermeasures,including optimizing AI algorithms,strengthening data security,and balancing AI and human roles,to provide theoretical and practical references for the reform of college English teaching evaluation.展开更多
With the reform and development of China's primary school art education,the art teaching activities have obtained constant improvement,and the multiple evaluation of art teaching plays an important role in the pro...With the reform and development of China's primary school art education,the art teaching activities have obtained constant improvement,and the multiple evaluation of art teaching plays an important role in the process of art teaching.Based on the current situation of the evaluation of art classroom teaching in rural primary schools,this article uses diversified evaluation methods,multi-dimensional evaluation subjects and multiple evaluation contents to change the traditional and single primary art classroom evaluation method,to strive to improve the quality of art classroom teaching and stimulate students'learning interests and adapt to the development needs of students with different personalities.展开更多
This paper discusses the necessity and importance of university think tanks to improve the quantity and quality of countermeasure research results, and explores the important role and positive significance of the mult...This paper discusses the necessity and importance of university think tanks to improve the quantity and quality of countermeasure research results, and explores the important role and positive significance of the multiple evaluation and incentive mechanism in promoting the research level of university think tank, the think tank platform research team and the output of high-level research results. Xiangtan University arouses the enthusiasm of think tank researchers and promotes the classified evaluation of think tank achievements, the achievement incentive and the incentive of think tank talent team, which plays an important role in promoting the high-quality innovative development of university think tanks.展开更多
Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new...Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new engine of economic development,but also a gas pedal of social development,which has had a profound impact on the field of education.In the face of the opportunities and challenges of the AI era,it is particularly urgent to build a scientific and reasonable education evaluation system.This paper combines the context of the times with the new technology of AI to discuss the opportunities,challenges,and implementation strategies of educational evaluation reform in the era of AI,with a view to providing references for the construction of the educational evaluation system and the development of high-quality education in the new era.展开更多
In view of the current situation that the evaluation mode of English Teaching in secondary vocational school is still dominated by the summative evaluation,the new evaluation mode,the multiple evaluation system,is app...In view of the current situation that the evaluation mode of English Teaching in secondary vocational school is still dominated by the summative evaluation,the new evaluation mode,the multiple evaluation system,is applied to the English teaching practice of secondary vocational school in the form of experiment,and the situation of studentst learning strategies,autonomous learning,interest in learning and English level after the implementation of the multiple evaluation system is analyzed.The results show that the multiple evaluation system of English Teaching in secondary vocational school has a positive impact on studentst English learning strategies,learning autonomy and learning interest,and also plays a certain role in promoting the improvement of students’ overall English level.展开更多
We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems （GIS） -based approaches： logistic regression and Akaike＇s Information Criterion （AIC）, Mu...We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems （GIS） -based approaches： logistic regression and Akaike＇s Information Criterion （AIC）, Multiple Criteria Evaluation （MCE）, and Bayesian Analysis （specifically Dempster-Shafer theory）. We used lynx Lynx canadensis as our focal species, and developed our environment relationship model using track data collected in Banff National Park, Alberta, Canada, during winters from 1997 to 2000. The accuracy of the three spatial models were compared using a contingency table method. We determined the percentage of cases in which both presence and absence points were correctly classified （overall accuracy）, the failure to predict a species where it occurred （omission error） and the prediction of presence where there was absence （commission error）. Our overall accuracy showed the logistic regression approach was the most accurate （74.51%）. The multiple criteria evaluation was intermediate （39.22%）, while the Dempster-Shafer （D-S） theory model was the poorest （29.90%）. However, omission and commission error tell us a different story： logistic regression had the lowest commission error, while D-S theory produced the lowest omission error. Our results provide evidence that habitat modellers should evaluate all three error measures when ascribing confidence in their model. We suggest that for our study area at least, the logistic regression model is optimal. However, where sample size is small or the species is very rare, it may also be useful to explore and/or use a more ecologically cautious modelling approach （e.g. Dempster-Shafer） that would over-predict, protect more sites, and thereby minimize the risk of missing critical habitat in conservation plans .展开更多
A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an import...A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an important issue. In this paper, the ship officer＇s performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP （Fuzzy Analytic Hierarchy Process） based on Chang＇s Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.展开更多
The Paraconsistent Many-Valued Similarity (PMVS) method for multi-attribute decision making will be incomplete as a decision model if it is not extended to the realm of group decision-making. Therefore, in this articl...The Paraconsistent Many-Valued Similarity (PMVS) method for multi-attribute decision making will be incomplete as a decision model if it is not extended to the realm of group decision-making. Therefore, in this article, our primary objective is to show how the paraconsistent many-valued similarity method can be used to solve group decision-making problems involving choice making or ranking of a finite set of decision alternatives. Moreover, since weights are very important parameters in multi-attribute decision-making, we have introduced the Borda rule to calculate the weights of experts and that of every criterion under consideration. To demonstrate how the proposed method works, a numerical example on energy sources of an economy from the points of view of a group of experts is investigated. Further, we compare the results of this new approach with that of fuzzy TOPSIS group decision-making method to illustrate the robustness and effectiveness of the former.展开更多
Introduction:Cardiovascular disease(CVD)has emerged as a critical determinant of prognosis and quality of life among individuals living with human immunodeficiency virus(HIV).The primary objective of this study is to ...Introduction:Cardiovascular disease(CVD)has emerged as a critical determinant of prognosis and quality of life among individuals living with human immunodeficiency virus(HIV).The primary objective of this study is to assess the CVD risk among HIVinfected individuals and determine the proportion of high-risk individuals using multiple evaluation methods.Methods:A cross-sectional study was conducted among HIV-infected individuals aged 18 years and older who were receiving antiretroviral therapy between April 26,2023,and December 16,2023.Participants were categorized into low-risk,intermediate-risk,and high-risk groups for CVD based on six risk assessment tools.Results:Our analysis revealed that the 5-year overall CVD risk estimates ranged from 2.37%to 2.50%,while the 10-year overall risk estimates spanned from 3.42%to 18.35%,with significant variations observed between subgroups.The proportion of high-risk individuals in the 10-year risk assessment,identified using five different tools,ranged from 7.85%to 31.94%,demonstrating moderate consistency across tools.Conclusions:The findings underscore the importance of closely monitoring and managing CVD risk in HIV-infected individuals.Given the variability in risk stratification methods,it is imperative to develop an assessment model tailored to the specific characteristics of the Chinese population.展开更多
The courses based on computer system ability training has its particularity of training objective.To achieve objective feedback of teaching,a multi-subject and multi-dimensional hierarchical teaching evaluation system...The courses based on computer system ability training has its particularity of training objective.To achieve objective feedback of teaching,a multi-subject and multi-dimensional hierarchical teaching evaluation system is proposed based on the analysis of computer system ability training objectives.Then,the teaching content,implementation,learning experience and teaching effect were evaluated by supervisors,colleague teachers and students.Finally,the multi-dimensional evaluation results show that the evaluation system proposed is effective and provides a reference for teaching evaluation.展开更多
Objective To understand the quality of life(QOL)and its influencing factors in maintenance hemodialysis patients(hemodialysis maintenance,MHD),and to provide theoretical basis for improving QOL of patients.Methods A c...Objective To understand the quality of life(QOL)and its influencing factors in maintenance hemodialysis patients(hemodialysis maintenance,MHD),and to provide theoretical basis for improving QOL of patients.Methods A cross-sectional study was conducted in the blood purification centre in 8 hospitals in Hefei,and patients’clinical data were collected.KDQOL-SF self-ad-展开更多
This paper presents a reputation evaluating model for non-govemment-run scientific research and technical service organizations of China. The model is composed of quantitative and qualitative factors, fuzzy comment se...This paper presents a reputation evaluating model for non-govemment-run scientific research and technical service organizations of China. The model is composed of quantitative and qualitative factors, fuzzy comment set and weight vector. The fuzzy judgement technique is applied in the model. The application of the model is also demonstrated in the paper.展开更多
Recently, a class of non-primitive cyclic codes with two nonzeros have received much attention of researchers and their weight distributions have been obtained for several cases of two key parameters related to the no...Recently, a class of non-primitive cyclic codes with two nonzeros have received much attention of researchers and their weight distributions have been obtained for several cases of two key parameters related to the nonzeros. In this paper, by evaluating certain Jacobi sums, we determine the weight distributions of this class of cyclic codes for one more special case.展开更多
基金The 2025 Jilin Provincial Institute of Higher Education Project“Research on Innovation of AI-Enabled Multiple Evaluation System in College English Teaching”(Project No.:JGJX25D1033)。
文摘With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems such as over-reliance on summative assessment,a single evaluation dimension,and lagging feedback.This study explores the innovative path of multiple evaluation systems in college English teaching empowered by AI,aiming to construct a dynamic,comprehensive,and personalized evaluation model.Through literature review,case analysis,and empirical research,it is found that AI technologies such as natural language processing,machine learning,and big data analytics can effectively support the diversification of evaluation subjects(teachers,students,peers,AI systems),the enrichment of evaluation dimensions(knowledge mastery,language competence,learning processes,and innovative thinking),and the intelligence of evaluation feedback.However,challenges such as algorithmic bias,data privacy risks,and the weakening of teacher-student interaction still exist.Finally,this study proposes countermeasures,including optimizing AI algorithms,strengthening data security,and balancing AI and human roles,to provide theoretical and practical references for the reform of college English teaching evaluation.
基金Research Project of Degree and Postgraduate Education and Teaching Reform of Jiangxi Normal University(YJG201804)。
文摘With the reform and development of China's primary school art education,the art teaching activities have obtained constant improvement,and the multiple evaluation of art teaching plays an important role in the process of art teaching.Based on the current situation of the evaluation of art classroom teaching in rural primary schools,this article uses diversified evaluation methods,multi-dimensional evaluation subjects and multiple evaluation contents to change the traditional and single primary art classroom evaluation method,to strive to improve the quality of art classroom teaching and stimulate students'learning interests and adapt to the development needs of students with different personalities.
文摘This paper discusses the necessity and importance of university think tanks to improve the quantity and quality of countermeasure research results, and explores the important role and positive significance of the multiple evaluation and incentive mechanism in promoting the research level of university think tank, the think tank platform research team and the output of high-level research results. Xiangtan University arouses the enthusiasm of think tank researchers and promotes the classified evaluation of think tank achievements, the achievement incentive and the incentive of think tank talent team, which plays an important role in promoting the high-quality innovative development of university think tanks.
文摘Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new engine of economic development,but also a gas pedal of social development,which has had a profound impact on the field of education.In the face of the opportunities and challenges of the AI era,it is particularly urgent to build a scientific and reasonable education evaluation system.This paper combines the context of the times with the new technology of AI to discuss the opportunities,challenges,and implementation strategies of educational evaluation reform in the era of AI,with a view to providing references for the construction of the educational evaluation system and the development of high-quality education in the new era.
文摘In view of the current situation that the evaluation mode of English Teaching in secondary vocational school is still dominated by the summative evaluation,the new evaluation mode,the multiple evaluation system,is applied to the English teaching practice of secondary vocational school in the form of experiment,and the situation of studentst learning strategies,autonomous learning,interest in learning and English level after the implementation of the multiple evaluation system is analyzed.The results show that the multiple evaluation system of English Teaching in secondary vocational school has a positive impact on studentst English learning strategies,learning autonomy and learning interest,and also plays a certain role in promoting the improvement of students’ overall English level.
文摘We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems （GIS） -based approaches： logistic regression and Akaike＇s Information Criterion （AIC）, Multiple Criteria Evaluation （MCE）, and Bayesian Analysis （specifically Dempster-Shafer theory）. We used lynx Lynx canadensis as our focal species, and developed our environment relationship model using track data collected in Banff National Park, Alberta, Canada, during winters from 1997 to 2000. The accuracy of the three spatial models were compared using a contingency table method. We determined the percentage of cases in which both presence and absence points were correctly classified （overall accuracy）, the failure to predict a species where it occurred （omission error） and the prediction of presence where there was absence （commission error）. Our overall accuracy showed the logistic regression approach was the most accurate （74.51%）. The multiple criteria evaluation was intermediate （39.22%）, while the Dempster-Shafer （D-S） theory model was the poorest （29.90%）. However, omission and commission error tell us a different story： logistic regression had the lowest commission error, while D-S theory produced the lowest omission error. Our results provide evidence that habitat modellers should evaluate all three error measures when ascribing confidence in their model. We suggest that for our study area at least, the logistic regression model is optimal. However, where sample size is small or the species is very rare, it may also be useful to explore and/or use a more ecologically cautious modelling approach （e.g. Dempster-Shafer） that would over-predict, protect more sites, and thereby minimize the risk of missing critical habitat in conservation plans .
文摘A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an important issue. In this paper, the ship officer＇s performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP （Fuzzy Analytic Hierarchy Process） based on Chang＇s Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.
文摘The Paraconsistent Many-Valued Similarity (PMVS) method for multi-attribute decision making will be incomplete as a decision model if it is not extended to the realm of group decision-making. Therefore, in this article, our primary objective is to show how the paraconsistent many-valued similarity method can be used to solve group decision-making problems involving choice making or ranking of a finite set of decision alternatives. Moreover, since weights are very important parameters in multi-attribute decision-making, we have introduced the Borda rule to calculate the weights of experts and that of every criterion under consideration. To demonstrate how the proposed method works, a numerical example on energy sources of an economy from the points of view of a group of experts is investigated. Further, we compare the results of this new approach with that of fuzzy TOPSIS group decision-making method to illustrate the robustness and effectiveness of the former.
基金Supported by the Shanghai Hospital Development Center(grant number SHDC22024317)Shanghai’s Three-Year Action Plan for Strengthening Public Health System Construction(2023-2025)—Building a Precision Integrated Prevention and Control Model for Major Chronic Infectious Diseases Such as Tuberculosis and AIDS(grant number GWVI-9)+1 种基金Science and Technology Commission of Shanghai Municipality(grant numbers 20MC1920100 and 21Y31900400)and Shanghai Municipal Science and Technology Major Project(grant number ZD2021CY001).
文摘Introduction:Cardiovascular disease(CVD)has emerged as a critical determinant of prognosis and quality of life among individuals living with human immunodeficiency virus(HIV).The primary objective of this study is to assess the CVD risk among HIVinfected individuals and determine the proportion of high-risk individuals using multiple evaluation methods.Methods:A cross-sectional study was conducted among HIV-infected individuals aged 18 years and older who were receiving antiretroviral therapy between April 26,2023,and December 16,2023.Participants were categorized into low-risk,intermediate-risk,and high-risk groups for CVD based on six risk assessment tools.Results:Our analysis revealed that the 5-year overall CVD risk estimates ranged from 2.37%to 2.50%,while the 10-year overall risk estimates spanned from 3.42%to 18.35%,with significant variations observed between subgroups.The proportion of high-risk individuals in the 10-year risk assessment,identified using five different tools,ranged from 7.85%to 31.94%,demonstrating moderate consistency across tools.Conclusions:The findings underscore the importance of closely monitoring and managing CVD risk in HIV-infected individuals.Given the variability in risk stratification methods,it is imperative to develop an assessment model tailored to the specific characteristics of the Chinese population.
文摘The courses based on computer system ability training has its particularity of training objective.To achieve objective feedback of teaching,a multi-subject and multi-dimensional hierarchical teaching evaluation system is proposed based on the analysis of computer system ability training objectives.Then,the teaching content,implementation,learning experience and teaching effect were evaluated by supervisors,colleague teachers and students.Finally,the multi-dimensional evaluation results show that the evaluation system proposed is effective and provides a reference for teaching evaluation.
文摘Objective To understand the quality of life(QOL)and its influencing factors in maintenance hemodialysis patients(hemodialysis maintenance,MHD),and to provide theoretical basis for improving QOL of patients.Methods A cross-sectional study was conducted in the blood purification centre in 8 hospitals in Hefei,and patients’clinical data were collected.KDQOL-SF self-ad-
文摘This paper presents a reputation evaluating model for non-govemment-run scientific research and technical service organizations of China. The model is composed of quantitative and qualitative factors, fuzzy comment set and weight vector. The fuzzy judgement technique is applied in the model. The application of the model is also demonstrated in the paper.
基金supported by National Natural Science Foundation of China(Grant Nos.11101131 and 61170257)National Basic Research Program of China(Grant No.2013CB834203)the External Science and Technology Cooperation Program of Hubei Province(Grant No.2012IHA01402)
文摘Recently, a class of non-primitive cyclic codes with two nonzeros have received much attention of researchers and their weight distributions have been obtained for several cases of two key parameters related to the nonzeros. In this paper, by evaluating certain Jacobi sums, we determine the weight distributions of this class of cyclic codes for one more special case.
