{"title":"Analysis of Procrastination State of E-learning Based on Clustering and Social Network","authors":"Tianjiao Zhai, Jianhua Qu, Y. Ling","doi":"10.1109/ICAIE53562.2021.00081","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00081","url":null,"abstract":"Under the background of \"Internet + Education\", it is of great significance to provide effective information for education and teaching work by grasping the situation of students’ procrastination, timely paying attention to the changes of students’ procrastination and analyzing the reasons. Based on the E-learning behavior data, the study constructed the procrastination indicator and divided the course into different learning stages. The study carried out cluster analysis and constructed the concept of procrastination state by summarizing and abstracting the results. Then the procrastination state of students in each learning stage was obtained. Finally, the study used the social network method to analyze the dynamic changes of students’ procrastination in the learning process. The results show that students’ procrastination can be divided into three types: finite procrastination, weak procrastination and strong procrastination. Changes in the state of procrastination are of great significance to education and teaching. Based on the research results, intervention measures are given from different aspects to improve students’ procrastination behavior.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133020094","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}
{"title":"Research on student assessment of secondary vocational schools in the Internet era","authors":"Y. Tan, Yinshan Wang, Xinchao Liu","doi":"10.1109/ICAIE53562.2021.00070","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00070","url":null,"abstract":"In today’s advanced Internet age, the assessment of students in secondary vocational schools still uses the traditional paper-and-pencil test, which has the problems of complicated workload, low efficiency and so on. The MAP Growth assessment system developed by the Northwest Evaluation Association, can provide with a multi-dimensional and personalized assessment for each student. Furthermore, its assessment report can be automatically generated for different subjects after 24 hours. These are the points lacking in traditional student evaluation. Based on the characteristics of the MAP Growth system, this research conducts an in-depth analysis of the problems existing in the current student assessment of secondary vocational schools, and aims to promote the reform of vocational education.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131008570","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}
{"title":"The Dilemmas and Reform of Translation Education in the Age of Artificial Intelligence","authors":"M. Yu.","doi":"10.1109/ICAIE53562.2021.00015","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00015","url":null,"abstract":"The wide application of artificial intelligence in the field of translation has changed the traditional mode of translation industry. Through market research and data analysis, it is found that translation education in the age of artificial intelligence also faces many challenges, such as the outdated hardware and software facilities, the traditional training mode, the shortage of translation technology teachers and the limited teaching material resources. To solve these problems, colleges should have the courage to make changes in laboratory construction, talent training mode, teachers' technology teaching ability and textbook compilation.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572971","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}
{"title":"Python-based crawler recruitment website program defects and visual analysis-taking 51job recruitment website as an example","authors":"Wei-hua Yang, Xin Wang","doi":"10.1109/ICAIE53562.2021.00048","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00048","url":null,"abstract":"With the development of science and technology such as the Internet, and the explosive growth of the amount of information, we generate data all the time every day. Obviously we have come to the era of big data. Because we have a sufficiently powerful amount of data, our research can not only be carried out in the main part of the normal distribution, but also makes it possible for the long tail part to become a part of our research. Therefore, data mining is particularly important among them, and it has become one of the main directions of research today. Combined with the current hottest employment issues, this article mainly studies how to use Python, a programming language with a rich language library and powerful computing functions, to crawl the recruitment information process of the largest recruitment website 51job, based on the large amount of information crawled You can find effective information and conduct specific research on employment positions, regions, positions, salary and other directions.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228571","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}
{"title":"Pros and Cons of Artificial Intelligence—Lessons From E-Government Services in the COVID-19 Pandemic","authors":"Jianxin Cheng, Haoming Luo, Wenyi Lin, Guopeng Hu","doi":"10.1109/ICAIE53562.2021.00042","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00042","url":null,"abstract":"How to understand the role and impact of information technology and artificial intelligence has triggered a big debate. To explore the pros and cons of artificial intelligence and its applications, this article takes the face mask distribution programs in the COVID-19 pandemic as research objects, conducting a multi-case comparative study of three cities in China. By manual coding of a total of 4560 We Chat official account messages, and by analyzing information related to the distribution process, it was found that: (1) On the demand side, the task complexity, the demand diversity, and the unstructured decision-making process in the public health emergency have exposed some limitations of AI in data collecting and unstructured problem-solving. (2) On the supply side, the procedural and substantive rules designed, together with the reliability of an AI system, will shape the performance of the AI service channel. (3) Though AI and other new technologies are advancing drastically in the pandemic, there is still much room for improvement whether by the optimization of AI systems, or by political control and social participation, and by the supplement of alternative channels such as the community service delivery.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123495288","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}
{"title":"Visual Teaching Design of Compile Principle Based on JFLAP","authors":"Decheng Wang, Yan Chen","doi":"10.1109/ICAIE53562.2021.00083","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00083","url":null,"abstract":"The course of compile principle is characterized by abstract theory and complex algorithm. It is relatively difficult for students to understand, which makes the effect of theoretical teaching poor. Therefore, the visual teaching tool JFLAP is introduced into the theoretical teaching of this course. For the difficulties of students’ feedback, this paper takes SLR (1) parsing as an example. In order to make full use of the visualization function of JFLAP, this paper presents a visual demonstration of the whole process of SLR (1) parsing, including calculation of FIRST set and FOLLOW set, construction of DFA, creation of parsing table and analysis of specific string. Practice shows that the use of JFLAP plays a great role for students to understand and master the compile principle of various algorithms and to improve the quality of classroom teaching.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061034","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}
{"title":"A study on the SPOC Blended Teaching Practice Based on the Online Platform : A Case Study of \"Korean as a Second Foreign Language\"","authors":"Chi Zhang","doi":"10.1109/ICAIE53562.2021.00073","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00073","url":null,"abstract":"SPOC is a blended teaching method that combines online resources and physical classrooms, integrating internet and digital media technology with regular face-to-face teaching, which is conducive to realizing a real \"student-centered classroom\" and an important way to carry out deep teaching. This study attempts to build a blended teaching model and conduct teaching practice based on this model to prove the feasibility and effectiveness of SPOC blended teaching in second foreign language courses. The results show that students have a high degree of adaptation to online learning and evaluate the model positively, which is considered to help improve learning effectiveness and learning ability. At the same time, the model places higher demands on both students and teachers.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124669106","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}
{"title":"Analysis of Employment Status and Countermeasures of Biology Graduates in Local Normal Universities Based on Big Data Technology—Take the Graduates of Guangxi Normal University From 20l6 to 2020 as an Example","authors":"Lu Jie, S. Zheng, Wang Qi, Chen Xiya","doi":"10.1109/ICAIE53562.2021.00127","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00127","url":null,"abstract":"The data of annual reports on the employment quality f local normal universities from 2016 to 2020 were captured from the network with the help of information technology. The data related to basic situation and employment destination of biology graduates in Guangxi Normal University were analyzed and collected by data analytic technology such as Data Mining Algorithms, Data Quality Master Data Management and Predictive Analytic Capabilities. In view of the problems of single employment structure, insufficient employment skills, vague employment planning and low achievement of Innovation and Entrepreneurship, measures such as the employment policy interpretation, the talent training programs adjustment, the employment guidance services system improvement and teaching mode innovation are needed in the purpose of promoting employment, providing useful reference to the further progress of teaching reform and optimizing talent training modes and methods for graduates of biology.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124731365","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}
{"title":"The analysis of knowledge base, Theme Evolution and research hotspot of Ideological and political theory course in Colleges and Universities Based on CiteSpace","authors":"Yang Mei, Zhao Shihui, Zeng Wanlan","doi":"10.1109/ICAIE53562.2021.00102","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00102","url":null,"abstract":"CiteSpace is the abbreviation of citeation space. It is an information visualization software developed by Professor Chen Chaomei of Drexel University. Using this software, we can quickly find the most important and key effective information from a large number of documents, can more intuitively see the development process of the theme, identify its most active research frontier and development trend, so as to comprehensively grasp the overall status of the theme research, and provide ideas or research judgment for the further development of the theme research. This paper uses CiteSpace to analyze the knowledge base, Theme Evolution and research hotspot of Ideological and political theory course in Chinese universities.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125147117","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}
{"title":"Research on Informatization Education Methods under the Background of Artificial Intelligence","authors":"Ye Zhufeng, Jirarat Sitthiworachart","doi":"10.1109/ICAIE53562.2021.00107","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00107","url":null,"abstract":"Higher education reform has entered a critical period, while the impact of artificial intelligence on higher education is also deepening. This paper studies the internal elements of higher education in this context: the development and reform of higher education education forms, curriculum construction and planning, classroom teaching forms, teacher- student relations, class organization and management, etc.; discusses the development and transformation of artificial intelligence from national strategic planning The process of moving towards higher education practice; seeking reform paths for higher education, management, teaching and artificial intelligence technology and social changes in the new era.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126475493","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}