Abstract: In the Internet era, hospitals have launched a series of basic services to solve the "difficulty in using intelligent technology" for the elderly. This paper evaluated the effectiveness of basic hospital services based on the "3E theory" by conducting field research of 16 three A hospitals (three A hospitals are those which have the highest level of medical services in China's classification system) in Chengdu and conducting an offline survey of more than 150 respondents at the same time. It is found that the effectiveness of hospital services is generally good, but there are still deficiencies in service details and attitudes. And the solution to the problem focuses on the external help provided by hospitals, which fails to stimulate the endogenous motivation for the elderly to learn. Therefore, this paper proposes that hospitals should carry out "adaptation to active aging" service reform and put forward specific suggestions from many aspects.
{"title":"Effectiveness evaluation of basic hospital services for solving the \"difficulty in using intelligent technology\" for the elderly","authors":"Ziyi Dong, Xiaohui Liao, Qinjia Yang, Jia Xie","doi":"10.1145/3511716.3511766","DOIUrl":"https://doi.org/10.1145/3511716.3511766","url":null,"abstract":"Abstract: In the Internet era, hospitals have launched a series of basic services to solve the \"difficulty in using intelligent technology\" for the elderly. This paper evaluated the effectiveness of basic hospital services based on the \"3E theory\" by conducting field research of 16 three A hospitals (three A hospitals are those which have the highest level of medical services in China's classification system) in Chengdu and conducting an offline survey of more than 150 respondents at the same time. It is found that the effectiveness of hospital services is generally good, but there are still deficiencies in service details and attitudes. And the solution to the problem focuses on the external help provided by hospitals, which fails to stimulate the endogenous motivation for the elderly to learn. Therefore, this paper proposes that hospitals should carry out \"adaptation to active aging\" service reform and put forward specific suggestions from many aspects.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: In the context of today's big data era, China's education informatization has entered a new stage, which requires further improving the ability of college teachers to deeply integrate information technology and teaching innovation. In the teacher training system of colleges and universities, teacher training is an important carrier to realize the improvement of teachers' comprehensive ability enhancement. In this paper, the effectiveness of teacher training in colleges and universities is comprehensively analyzed from five elements, including knowledge effectiveness, skill effectiveness, ability effectiveness, education concept effectiveness and education informatization ability effectiveness. Meanwhile, this paper uses big data mining analysis technology to select the dataset of China's Ministry of Education and China's National Bureau of Statistics from 2015-2019, and uses OLS and 2SLS linear regression models to analyze the influence effect of college teacher training effectiveness and college graduates' employment, and the results show that college teacher training effectiveness has a significant positive driving The results show that the effectiveness of teacher training in colleges and universities has a significant positive effect on the employment of college graduates.
{"title":"Analysis and Research on All Elements of Teacher Training Effectiveness Based on Linear Regression","authors":"Min Chen, Yi Xiao, Siming Li","doi":"10.1145/3511716.3511787","DOIUrl":"https://doi.org/10.1145/3511716.3511787","url":null,"abstract":"Abstract: In the context of today's big data era, China's education informatization has entered a new stage, which requires further improving the ability of college teachers to deeply integrate information technology and teaching innovation. In the teacher training system of colleges and universities, teacher training is an important carrier to realize the improvement of teachers' comprehensive ability enhancement. In this paper, the effectiveness of teacher training in colleges and universities is comprehensively analyzed from five elements, including knowledge effectiveness, skill effectiveness, ability effectiveness, education concept effectiveness and education informatization ability effectiveness. Meanwhile, this paper uses big data mining analysis technology to select the dataset of China's Ministry of Education and China's National Bureau of Statistics from 2015-2019, and uses OLS and 2SLS linear regression models to analyze the influence effect of college teacher training effectiveness and college graduates' employment, and the results show that college teacher training effectiveness has a significant positive driving The results show that the effectiveness of teacher training in colleges and universities has a significant positive effect on the employment of college graduates.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Integrated Modular Avionics (IMA) has become a popular aircraft avionics system, and ARINC653 is a standard interface for IMA architecture of aircraft avionics equipment, and real-time scheduling for ARINC653 partition Operating System (OS) is a key issue. There are lots of scheduling algorithms for ARINC653 partition OS based on a single-core processor. This paper presents a partition scheduling proposal based on parameter configuration and designs a scheduling algorithm based on multi-core Load Proportional Round-Robin (MLPRR). The algorithm calculates the task weight according to the load ratio of the task and completes the scheduling of the task on the multi-core processor to meet the real-time requirements of the multi-core partition OS. Experimental results show that MLPRR is feasible and efficient.
{"title":"Multi-core processor partitioned task scheduling algorithm design based on ARINC653","authors":"Ming Li, Suyang Wei, Wen Sun, Hekun Zhang","doi":"10.1145/3511716.3511789","DOIUrl":"https://doi.org/10.1145/3511716.3511789","url":null,"abstract":"The Integrated Modular Avionics (IMA) has become a popular aircraft avionics system, and ARINC653 is a standard interface for IMA architecture of aircraft avionics equipment, and real-time scheduling for ARINC653 partition Operating System (OS) is a key issue. There are lots of scheduling algorithms for ARINC653 partition OS based on a single-core processor. This paper presents a partition scheduling proposal based on parameter configuration and designs a scheduling algorithm based on multi-core Load Proportional Round-Robin (MLPRR). The algorithm calculates the task weight according to the load ratio of the task and completes the scheduling of the task on the multi-core processor to meet the real-time requirements of the multi-core partition OS. Experimental results show that MLPRR is feasible and efficient.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128899281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: Big data technology is an important force to promote the reform of teaching. Smart classroom is the inevitable result of education modernization condensed in classroom teaching, education informatization converges on teacher-student interaction, and education intelligence converges on students’ smart thinking in the background of big data era. The hotspot of education intelligence research. The rapid development of artificial intelligence has made sufficient preparations for its involvement in school education and realization of smart classrooms. Based on the intelligent architecture of artificial intelligence, it will redefine classroom teaching with its closed-loop architecture formed by intelligent interaction and intelligent deep learning. To further strengthen the ideological education of college students is necessary to conform to the development situation of the big data era. Therefore, it is necessary to actively explore ideological education strategies for college students based on the era of big data by building network positions, applying social media, developing application software, relying on communication tools, and building smart classrooms. This article is based on the smart classroom information technology platform to design teaching goals and plans, implement interactive teaching, and innovate the teaching design and implementation strategies of smart classrooms.
{"title":"Research on the Design of Smart Classroom Mode from the Perspective of Big Data","authors":"Zhifeng Hu, Feng Zhao, Xiaona Zhao","doi":"10.1145/3511716.3511733","DOIUrl":"https://doi.org/10.1145/3511716.3511733","url":null,"abstract":"Abstract: Big data technology is an important force to promote the reform of teaching. Smart classroom is the inevitable result of education modernization condensed in classroom teaching, education informatization converges on teacher-student interaction, and education intelligence converges on students’ smart thinking in the background of big data era. The hotspot of education intelligence research. The rapid development of artificial intelligence has made sufficient preparations for its involvement in school education and realization of smart classrooms. Based on the intelligent architecture of artificial intelligence, it will redefine classroom teaching with its closed-loop architecture formed by intelligent interaction and intelligent deep learning. To further strengthen the ideological education of college students is necessary to conform to the development situation of the big data era. Therefore, it is necessary to actively explore ideological education strategies for college students based on the era of big data by building network positions, applying social media, developing application software, relying on communication tools, and building smart classrooms. This article is based on the smart classroom information technology platform to design teaching goals and plans, implement interactive teaching, and innovate the teaching design and implementation strategies of smart classrooms.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bu Xianghang, Cao Yongxing, Deng Chuang, Wu Chi, Jiang Ke
Taking Sichuan electric power system as an example, landslide hazards in this region are often widespread and insidious, so traditional investigation methods are not sufficient in identifying large scope of landslide hazards and producing accurate landslide deformation analysisin the mountainous regions. The paper proposes torely on satellite remote sensing, UAV remote sensing and field investigation, and leverage the advantages of multi-domain technologies, including satellite remote sensing with wide coverage and strong repetitive observationcapacity and airborne remote sensing with strong maneuverability and high resolution.Through space-air-ground investigation system,this paper provides a solution to the early detection of landslide hazards, and conducts anearly detection of potentiallandslide hazards of a 500kV overhead transmission line.
{"title":"Integrated Space-Air-Ground Early Detection Technologies and Applicationfor Potential Landslide of Transmission Line Corridor","authors":"Bu Xianghang, Cao Yongxing, Deng Chuang, Wu Chi, Jiang Ke","doi":"10.1145/3511716.3511794","DOIUrl":"https://doi.org/10.1145/3511716.3511794","url":null,"abstract":"Taking Sichuan electric power system as an example, landslide hazards in this region are often widespread and insidious, so traditional investigation methods are not sufficient in identifying large scope of landslide hazards and producing accurate landslide deformation analysisin the mountainous regions. The paper proposes torely on satellite remote sensing, UAV remote sensing and field investigation, and leverage the advantages of multi-domain technologies, including satellite remote sensing with wide coverage and strong repetitive observationcapacity and airborne remote sensing with strong maneuverability and high resolution.Through space-air-ground investigation system,this paper provides a solution to the early detection of landslide hazards, and conducts anearly detection of potentiallandslide hazards of a 500kV overhead transmission line.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126223461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the research results of logistics information ecosystem risk, the author identifies 26 factors that affect logistics information ecosystem risk. The adjacency matrix of 26 influencing factors is constructed according to the relationship between influencing factors. Using Python software to calculate the reachability matrix of influencing factors, and simplify the reachability matrix. Calculate the reachable set, antecedent set and common set of influencing factors. The 26 influencing factors are divided into 6 levels. Rearrange and simplify reachability matrix. The interpretive structural modeling of risk influencing factors of logistics information ecosystem is constructed. The interpretive structural modeling of influencing factors is divided into superficial layer, middle layer and root layer. The factors in the superficial layer include multi-party coordination mechanism, reward and punishment mechanism and system formulation mechanism. The factor in the root layer includes information culture atmosphere. The factors in the middle layer include 22 factors such as logistics information security, logistics information accuracy, logistics information timeliness, logistics information sharing, logistics information adaptability, technical level of logistics employees, logistics personnel equipment configuration, etc. The factor in the root layer not only directly affects the factors in the middle layer and the factors in the superficial layer, but also indirectly affects them. Finally, the paper analyzes the reasons for the formation of the hierarchical relationship of influencing factors, in order to provide theoretical guidance for the stable operation of logistics industry.
{"title":"Research on Risk Influencing Factors of Logistics Information Ecosystem Based on Interpretive Structural Modeling","authors":"L. Ye, Xiao-shu Hu","doi":"10.1145/3511716.3511756","DOIUrl":"https://doi.org/10.1145/3511716.3511756","url":null,"abstract":"Based on the research results of logistics information ecosystem risk, the author identifies 26 factors that affect logistics information ecosystem risk. The adjacency matrix of 26 influencing factors is constructed according to the relationship between influencing factors. Using Python software to calculate the reachability matrix of influencing factors, and simplify the reachability matrix. Calculate the reachable set, antecedent set and common set of influencing factors. The 26 influencing factors are divided into 6 levels. Rearrange and simplify reachability matrix. The interpretive structural modeling of risk influencing factors of logistics information ecosystem is constructed. The interpretive structural modeling of influencing factors is divided into superficial layer, middle layer and root layer. The factors in the superficial layer include multi-party coordination mechanism, reward and punishment mechanism and system formulation mechanism. The factor in the root layer includes information culture atmosphere. The factors in the middle layer include 22 factors such as logistics information security, logistics information accuracy, logistics information timeliness, logistics information sharing, logistics information adaptability, technical level of logistics employees, logistics personnel equipment configuration, etc. The factor in the root layer not only directly affects the factors in the middle layer and the factors in the superficial layer, but also indirectly affects them. Finally, the paper analyzes the reasons for the formation of the hierarchical relationship of influencing factors, in order to provide theoretical guidance for the stable operation of logistics industry.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Greenhouse gas emission is widely known as the biggest culprit of climate change on earth. Emissions from agricultural sector, as the second greatest greenhouse gas emission source, has received increasing attention. In order to find the research hotspots and frontiers of this area, a bibliometric analysis was conducted and visualized using bibliometrix package of R and VOSviewer software based on co-word analysis. 1133 research papers were collected from Web of Science database from 2011 to 2020. During the last decades, we saw a continuous increase in the number of publications. China published the highest number of documents which accounts for 30% of total publications, followed by USA and German with proportions of 10% and 7.6% respectively. 2529 key words were identified, cluster analysis was conducted based on the co-occurrence of these terms. The result of this study may reveal the research hotspots and frontiers of this area.
众所周知，温室气体排放是地球气候变化的罪魁祸首。农业排放作为温室气体的第二大排放源，越来越受到人们的关注。为了找到该领域的研究热点和前沿，在共词分析的基础上，利用R的bibliometrix软件包和VOSviewer软件进行文献计量分析并进行可视化。从Web of Science数据库中收集2011 - 2020年的1133篇研究论文。在过去的几十年里，我们看到出版物的数量不断增加。中国发表的文献数量最多，占总发表量的30%，其次是美国和德国，分别占10%和7.6%。共识别出2529个关键词，根据这些关键词的共现性进行聚类分析。本研究结果可能揭示该领域的研究热点和前沿。
{"title":"Agricultural Greenhouse Gas Emission Topic Clustering Based on Keyword Co-occurrence Analysis","authors":"Li Tingxuan","doi":"10.1145/3511716.3511763","DOIUrl":"https://doi.org/10.1145/3511716.3511763","url":null,"abstract":"Greenhouse gas emission is widely known as the biggest culprit of climate change on earth. Emissions from agricultural sector, as the second greatest greenhouse gas emission source, has received increasing attention. In order to find the research hotspots and frontiers of this area, a bibliometric analysis was conducted and visualized using bibliometrix package of R and VOSviewer software based on co-word analysis. 1133 research papers were collected from Web of Science database from 2011 to 2020. During the last decades, we saw a continuous increase in the number of publications. China published the highest number of documents which accounts for 30% of total publications, followed by USA and German with proportions of 10% and 7.6% respectively. 2529 key words were identified, cluster analysis was conducted based on the co-occurrence of these terms. The result of this study may reveal the research hotspots and frontiers of this area.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"52 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114044123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper will focus on the construction of the comprehensive quality evaluation index system for application-oriented local college students.clarify the comprehensive quality evaluation standards of students in applied local colleges and universities with the help of big data and intelligent technology, and construct the key element framework of intelligent evaluation; According to the four basic elements of the achievement of students' training objectives, the adaptability of social needs and the satisfaction of students and employers, the principal component analysis method is used to construct the corresponding index system.
{"title":"The Model Construction and Application Analysis of the Comprehensive Quality Evaluation System of College Students in the Intelligent Era","authors":"Lingni Wan","doi":"10.1145/3511716.3511753","DOIUrl":"https://doi.org/10.1145/3511716.3511753","url":null,"abstract":"This paper will focus on the construction of the comprehensive quality evaluation index system for application-oriented local college students.clarify the comprehensive quality evaluation standards of students in applied local colleges and universities with the help of big data and intelligent technology, and construct the key element framework of intelligent evaluation; According to the four basic elements of the achievement of students' training objectives, the adaptability of social needs and the satisfaction of students and employers, the principal component analysis method is used to construct the corresponding index system.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125284596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a physical entity that serves as a node for the circulation of agricultural products in the development of rural economy, Incorporate industrial enterprises, commercial enterprises and agricultural enterprises in different categories in the tertiary industries into a unified platform and industrial chain. The basic structure of this two-way interaction can be summarized as: Multiple sub-platforms based on one platform, two levels, two directions, multiple modes and multiple processes. In order to realize these functions, this paper uses the Haken model to analyze the synergistic relationship among parks, enterprises, and farmers, and draws corresponding conclusions based on the empirical results: agricultural logistics parks must obey certain conditions of agricultural logistics organizational support and platform guarantees. So as to form a comprehensive, diversified, multi-level, informatized, urban-rural two-way, open and compatible operation and organizational characteristics.
{"title":"Research on the Two-way Interactive Development Model of Industrial Chain in Agricultural Logistics Park","authors":"Xiaolan Hu, Hui Ye, Xinyue He","doi":"10.1145/3511716.3511747","DOIUrl":"https://doi.org/10.1145/3511716.3511747","url":null,"abstract":"As a physical entity that serves as a node for the circulation of agricultural products in the development of rural economy, Incorporate industrial enterprises, commercial enterprises and agricultural enterprises in different categories in the tertiary industries into a unified platform and industrial chain. The basic structure of this two-way interaction can be summarized as: Multiple sub-platforms based on one platform, two levels, two directions, multiple modes and multiple processes. In order to realize these functions, this paper uses the Haken model to analyze the synergistic relationship among parks, enterprises, and farmers, and draws corresponding conclusions based on the empirical results: agricultural logistics parks must obey certain conditions of agricultural logistics organizational support and platform guarantees. So as to form a comprehensive, diversified, multi-level, informatized, urban-rural two-way, open and compatible operation and organizational characteristics.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Collectivism is a focus of multidisciplinary research. This research uses the quantitative research method to carry on the exploratory analysis to the contemporary university student collectivism concept psychological structure. Firstly, the core characteristic words and sentences representing the collectivism concept were collected through an open questionnaire. Combined with the relevant information obtained from literature review, the words were combined and sorted out to form the core vocabulary rating questionnaire of "collectivism". Then, through exploratory factor analysis and confirmatory factor analysis, the psychological structure model of contemporary college students' collectivism concept is established. The conclusion shows that the psychological structure of contemporary college students' collectivism mainly involves "world view", "social view" and "individual view", which have a total of eight dimensions.
{"title":"Construction of College Students' Multidimensional Psychological Structure Model and Analysis of Influencing Factors","authors":"Jing Chen, Lusheng Huang","doi":"10.1145/3511716.3511746","DOIUrl":"https://doi.org/10.1145/3511716.3511746","url":null,"abstract":"Collectivism is a focus of multidisciplinary research. This research uses the quantitative research method to carry on the exploratory analysis to the contemporary university student collectivism concept psychological structure. Firstly, the core characteristic words and sentences representing the collectivism concept were collected through an open questionnaire. Combined with the relevant information obtained from literature review, the words were combined and sorted out to form the core vocabulary rating questionnaire of \"collectivism\". Then, through exploratory factor analysis and confirmatory factor analysis, the psychological structure model of contemporary college students' collectivism concept is established. The conclusion shows that the psychological structure of contemporary college students' collectivism mainly involves \"world view\", \"social view\" and \"individual view\", which have a total of eight dimensions.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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