In recent years, vocational education has attracted more and more attention. Teaching evaluation, as a test of teaching effect, is one of the vital factors to promote the development of vocational education. Therefore, it is very necessary to sort out the current teaching evaluation in the field of vocational education in China. In this paper, we will use literature metrology method and CiteSpace to analyze the data from China National Knowledge Infrastructure (CNKI) from 2010 to 2019. The development and hot spots of teaching evaluation in vocational education field are excavated by the visualizations on knowledge maps, which include the key words co-occurrence map, the author cooperation map and the organization cooperation map. Then, based on the current situation of online teaching, this paper analyzes the teaching evaluation from the micro aspect. Finally, the development of teaching evaluation in the future is predicted.
{"title":"Analysis of Teaching Evaluation in the Field of Vocational Education in China","authors":"Wenqian Sun, Xiaomei Yu, Xue Zhang, Lining Liu, Penglong Zhang","doi":"10.1109/ICAIE50891.2020.00104","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00104","url":null,"abstract":"In recent years, vocational education has attracted more and more attention. Teaching evaluation, as a test of teaching effect, is one of the vital factors to promote the development of vocational education. Therefore, it is very necessary to sort out the current teaching evaluation in the field of vocational education in China. In this paper, we will use literature metrology method and CiteSpace to analyze the data from China National Knowledge Infrastructure (CNKI) from 2010 to 2019. The development and hot spots of teaching evaluation in vocational education field are excavated by the visualizations on knowledge maps, which include the key words co-occurrence map, the author cooperation map and the organization cooperation map. Then, based on the current situation of online teaching, this paper analyzes the teaching evaluation from the micro aspect. Finally, the development of teaching evaluation in the future is predicted.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646426","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00081
D. Shasha
With the rapid development of social economy and science and technology, under the promotion of information technology, people’s life style, behavior concept and values have undergone profound changes. Counselors have played an important role in the current education management process in higher vocational colleges and should strengthen the extensive use of information technology in the process of work. This paper mainly studies the intelligent management of counselors in higher vocational colleges under the background of informatization, so as to provide reference for relevant professionals.
{"title":"The Intelligent Management of Counselors in Higher Vocational Colleges under the Background of Informatization","authors":"D. Shasha","doi":"10.1109/ICAIE50891.2020.00081","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00081","url":null,"abstract":"With the rapid development of social economy and science and technology, under the promotion of information technology, people’s life style, behavior concept and values have undergone profound changes. Counselors have played an important role in the current education management process in higher vocational colleges and should strengthen the extensive use of information technology in the process of work. This paper mainly studies the intelligent management of counselors in higher vocational colleges under the background of informatization, so as to provide reference for relevant professionals.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694095","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00012
Fang-Fang Hao, Jie Liu, Xiangzhen Chen
Human behavior recognition is a research hotspot in the field of computer vision. This paper introduces and analyzes the methods of human motion and behavior recognition in the field of video in recent years, describes the main ways to build the network and the methods to optimize the network parameters to improve the model recognition effect, as well as the commonly used data sets. At present, human behavior recognition still needs to be further studied, and there are still great challenges in accuracy, number of model parameters and calculation amount.
{"title":"A Review of Human Behavior Recognition Based on Deep Learning","authors":"Fang-Fang Hao, Jie Liu, Xiangzhen Chen","doi":"10.1109/ICAIE50891.2020.00012","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00012","url":null,"abstract":"Human behavior recognition is a research hotspot in the field of computer vision. This paper introduces and analyzes the methods of human motion and behavior recognition in the field of video in recent years, describes the main ways to build the network and the methods to optimize the network parameters to improve the model recognition effect, as well as the commonly used data sets. At present, human behavior recognition still needs to be further studied, and there are still great challenges in accuracy, number of model parameters and calculation amount.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154903","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00062
Aijun Zhen, Guo-Qiang Ma, Kai Wu, Yan Liu
In view of the problems existing in the teaching of software process management, combined with the standard requirements of engineering education certification and the cases of the implementation of relevant courses in foreign high-level universities, this paper puts forward the reform measures for the practical teaching of this course. It is suggested that the practical teaching of the course should adopt the way of integrating the cases with appropriate difficulty and scale with the course projects, forming the students into the corresponding project team to complete the practical teaching of the course in the scene of the software development company, reforming the corresponding course assessment and evaluation mode, so that the students can complement each other and really learn something. We should realize the teaching goal of software engineering specialty in the new era, and train qualified software professionals.
{"title":"Research on the Teaching Reform of Managing the Software Process Course","authors":"Aijun Zhen, Guo-Qiang Ma, Kai Wu, Yan Liu","doi":"10.1109/ICAIE50891.2020.00062","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00062","url":null,"abstract":"In view of the problems existing in the teaching of software process management, combined with the standard requirements of engineering education certification and the cases of the implementation of relevant courses in foreign high-level universities, this paper puts forward the reform measures for the practical teaching of this course. It is suggested that the practical teaching of the course should adopt the way of integrating the cases with appropriate difficulty and scale with the course projects, forming the students into the corresponding project team to complete the practical teaching of the course in the scene of the software development company, reforming the corresponding course assessment and evaluation mode, so that the students can complement each other and really learn something. We should realize the teaching goal of software engineering specialty in the new era, and train qualified software professionals.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396591","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}
Pub Date : 2020-06-01DOI: 10.1109/icaie50891.2020.00034
Ningyi Li
With the rapid development of science and technology, artificial intelligence (AI) technology has a high-rapid growth at the same time. Under the background of artificial intelligence, computer-assisted translation (CAT) was born at the right moment, which not only helps people to learn the methods of translation, but also contributes the better environment for development on translation in China. Therefore, the study is focused on the development of artificial intelligence, which points out the direction of computer-assisted translation at present.
{"title":"On the Chinese Development of Computer-Assisted Translation under the Background of Artificial Intelligence","authors":"Ningyi Li","doi":"10.1109/icaie50891.2020.00034","DOIUrl":"https://doi.org/10.1109/icaie50891.2020.00034","url":null,"abstract":"With the rapid development of science and technology, artificial intelligence (AI) technology has a high-rapid growth at the same time. Under the background of artificial intelligence, computer-assisted translation (CAT) was born at the right moment, which not only helps people to learn the methods of translation, but also contributes the better environment for development on translation in China. Therefore, the study is focused on the development of artificial intelligence, which points out the direction of computer-assisted translation at present.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128570284","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00060
Minghui Shao, Ping Wei, Li Gao
In order to improve the student’s ability under the Emerging Engineering Education, the Blended learning in college physics experiments has been explored. In this study, a new learning method was developed using the combination of online and face-to-face class for students in University. This new learning method is characterized by absolute autonomy in the classroom. The students could complete self e-learning through the process of the class assisted by multimedia and teachers.
{"title":"Study of Blended Learning in College physics experiments Under the Information Environment","authors":"Minghui Shao, Ping Wei, Li Gao","doi":"10.1109/ICAIE50891.2020.00060","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00060","url":null,"abstract":"In order to improve the student’s ability under the Emerging Engineering Education, the Blended learning in college physics experiments has been explored. In this study, a new learning method was developed using the combination of online and face-to-face class for students in University. This new learning method is characterized by absolute autonomy in the classroom. The students could complete self e-learning through the process of the class assisted by multimedia and teachers.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"13 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124559589","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00027
Ning Wang, Yang Liu, Zhongmin Liu, Xinying Huang
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.
{"title":"Application of Artificial Intelligence and Big Data in Modern Financial Management","authors":"Ning Wang, Yang Liu, Zhongmin Liu, Xinying Huang","doi":"10.1109/ICAIE50891.2020.00027","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00027","url":null,"abstract":"This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641491","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00049
Wei Tian, Xin Zhao, Chunyan Wang, Fang Tan
According to the current situation of preschool teachers’ mental health and education background in Chongqing, this paper investigates the correlation between the influencing factors of different education background on preschool teachers’ mental health level, and analyzes whether the influence of different education background on the mental health level is different. Using the SCL90 mental health test scale and computer software SPSS, a stratified random sampling method was carried out in Chongqing. Taking 500 kindergarten teachers in 20 kindergartens as survey samples, the results of 98 questions in two dimensions involved in the questionnaire were summarized and analyzed. Finally, there are 410 valid questionnaires, 33.66% of them have mental health problems. The main mental health problems of preschool teachers are anxiety, interpersonal sensitivity, obsessive-compulsive symptoms and somatization. Chi square analysis of preschool teachers’ education background and mental health level showed that x2 value was 7.423, P value was 0.006, less than 0.5. There was significant difference in the mental health level of preschool teachers with different education background. It can be seen from this that the causes of the mental health problems faced by preschool teachers with different education background will be different, and the influence of the same cause on the mental health of preschool teachers with different education background will be different. According to the different education background, corresponding strategies should be taken for the mental health level of preschool teachers with different education background.
{"title":"Influence of Educational Background on the Mental Health of Preschool Teachers in Chongqing, China by Computer Software SPSS","authors":"Wei Tian, Xin Zhao, Chunyan Wang, Fang Tan","doi":"10.1109/ICAIE50891.2020.00049","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00049","url":null,"abstract":"According to the current situation of preschool teachers’ mental health and education background in Chongqing, this paper investigates the correlation between the influencing factors of different education background on preschool teachers’ mental health level, and analyzes whether the influence of different education background on the mental health level is different. Using the SCL90 mental health test scale and computer software SPSS, a stratified random sampling method was carried out in Chongqing. Taking 500 kindergarten teachers in 20 kindergartens as survey samples, the results of 98 questions in two dimensions involved in the questionnaire were summarized and analyzed. Finally, there are 410 valid questionnaires, 33.66% of them have mental health problems. The main mental health problems of preschool teachers are anxiety, interpersonal sensitivity, obsessive-compulsive symptoms and somatization. Chi square analysis of preschool teachers’ education background and mental health level showed that x2 value was 7.423, P value was 0.006, less than 0.5. There was significant difference in the mental health level of preschool teachers with different education background. It can be seen from this that the causes of the mental health problems faced by preschool teachers with different education background will be different, and the influence of the same cause on the mental health of preschool teachers with different education background will be different. According to the different education background, corresponding strategies should be taken for the mental health level of preschool teachers with different education background.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124099806","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00059
Wenxian Bian, Yongming Yao, Yang Cao
In order to solve the lag and passiveness of the traditional academic early warning system, through the collection of students’ academic big data, we analyze the related factors of students’ academic problems from the four dimensions of school, family, society and students themselves. We established a big data platform and designed a student learning support mechanism based on the big data platform, in order to achieve preventive management, follow-up education, and targeted support.
{"title":"Analysis and Research on the Related Factors of Academic Problems of University Undergraduates from the Perspective of Big Data","authors":"Wenxian Bian, Yongming Yao, Yang Cao","doi":"10.1109/ICAIE50891.2020.00059","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00059","url":null,"abstract":"In order to solve the lag and passiveness of the traditional academic early warning system, through the collection of students’ academic big data, we analyze the related factors of students’ academic problems from the four dimensions of school, family, society and students themselves. We established a big data platform and designed a student learning support mechanism based on the big data platform, in order to achieve preventive management, follow-up education, and targeted support.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996099","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}
Pub Date : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00043
Ke Jie, Z. Fan, Zhu Changhong
In order to solve the current situation of low management efficiency in university laboratories and the inconvenience to use it, this paper proposes and designs an intelligent experiment management system based on Internet of things technology. This system puts forward a feasible and detailed design scheme, which adopts the Internet of things technology to design the intelligent experiment management system and uses Java to realize the intelligent experiment management platform. Finally, the function of the management system is tested and verified. The test shows that the intelligent experiment management system has basically achieved the expected functions and meets the needs of the intelligent experiment management platform of universities.
{"title":"Design and implementation of intelligent experiment management platform based on Internet of things","authors":"Ke Jie, Z. Fan, Zhu Changhong","doi":"10.1109/ICAIE50891.2020.00043","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00043","url":null,"abstract":"In order to solve the current situation of low management efficiency in university laboratories and the inconvenience to use it, this paper proposes and designs an intelligent experiment management system based on Internet of things technology. This system puts forward a feasible and detailed design scheme, which adopts the Internet of things technology to design the intelligent experiment management system and uses Java to realize the intelligent experiment management platform. Finally, the function of the management system is tested and verified. The test shows that the intelligent experiment management system has basically achieved the expected functions and meets the needs of the intelligent experiment management platform of universities.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947025","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：