2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)最新文献_第6页

Research and practice of health information technology personnel training based on Modern Apprenticeship 基于现代学徒制的卫生信息技术人才培养研究与实践

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00124

Bing-jin Liang

{"title":"Research and practice of health information technology personnel training based on Modern Apprenticeship","authors":"Bing-jin Liang","doi":"10.1109/ICAIE53562.2021.00124","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00124","url":null,"abstract":"In recent years, with the deepening of the new medical reform, China has increased investment in health informatization. There is a strong demand for health information technology talents. Health information technology talents not only learn basic information technology skills such as software development, software implementation, software testing, but also learn database management, software installation, software usage, maintenance and other professional knowledge of health information system. In order to better carry out the training of health information technology talents, we jointly recruit modern apprenticeship class students with health and medical information enterprises. This paper expounds how to educate people through work-integrated learning, school-enterprise cooperation and other ways. Compared with the ordinary students of the same grade, the students in the apprenticeship class have adapted to the working and learning mode of health information enterprises, and can independently complete the tasks of health information system development and project implementation, with stronger hands-on ability. The training of health information technology talents based on modern apprenticeship system has a good effect.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"31 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":"128773548","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}

引用次数: 1

Exploration and Practice of Ideological and Political Content Design of Fluid Mechanics Based on Multimedia Technology 基于多媒体技术的流体力学思想政治内容设计的探索与实践

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00096

Zhi Mei Wen, Ren Dong Guo

引用次数: 0

Facial emotion recognition based on LDA and Facial Landmark Detection 基于LDA和人脸标记检测的面部情绪识别

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00020

Lanxin Sun, JunBo Dai, Xunbing Shen

引用次数: 5

The Mixed Teaching Mode of "Civil Engineering Materials" Based on Integration and Rain Classroom Research and practice 基于一体化与雨课堂的《土木工程材料》混合教学模式研究与实践

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00093

Chunhui Zhang

引用次数: 0

Analysis of WeChat Application Strategy in Parent-Kindergarten Cooperation 微信在亲子合作中的应用策略分析

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00065

Wang Jingwen, Fu Xianglin, Zhu Jiaping

引用次数: 0

An Empirical Research on Construct and Influencing Factors of College Students’ Blended Learning Power Based on SPSS 22 software and AMOS 24.0 software 基于SPSS 22和AMOS 24.0软件的大学生混合式学习力构建及影响因素实证研究

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00094

L. Min, Sun Yichao, Ma Hailing

{"title":"An Empirical Research on Construct and Influencing Factors of College Students’ Blended Learning Power Based on SPSS 22 software and AMOS 24.0 software","authors":"L. Min, Sun Yichao, Ma Hailing","doi":"10.1109/ICAIE53562.2021.00094","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00094","url":null,"abstract":"In order to promote the deep integration of information technology and education teaching, universities are vigorously carrying out blended teaching. The changes in learning styles brought by online and offline blended learning have put forward higher requirements on learners’ blended learning power. This study designed a questionnaire based on four dimensions of blended learning power and conducted a questionnaire survey on 2470 college students in a university. Using SPSS22 and AMOS 24.0 software, we used factor analysis, correlation analysis and stepwise multiple regression analysis to analyze the structure and influencing factors of blended learning power and construct a model. The study showed that the blended learning power of college students was generally at a medium level, school support, teacher support and peer support were significantly and positively related to blended learning power, and gender, grade, and number of blended courses studied affected blended learning power. Accordingly, this study suggests that universities should build a blended learning support service system to improve learner readiness, stimulate learners’ internal motivation, and enhance the effectiveness of blended learning. This study can provide a reference for the construction and evaluation of blended learning support service system in colleges and universities.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"10 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":"121575765","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}

引用次数: 0

Short-Term Load Forecasting Model of the Power System Based on ICSO_RF_GRU Networks 基于ICSO_RF_GRU网络的电力系统短期负荷预测模型

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00152

Liu Ming, Shang Shang

{"title":"Short-Term Load Forecasting Model of the Power System Based on ICSO_RF_GRU Networks","authors":"Liu Ming, Shang Shang","doi":"10.1109/ICAIE53562.2021.00152","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00152","url":null,"abstract":"Short-term load forecasting is one of the important bases for the operation of real-time power market. The improvement of forecasting accuracy is of great significance to revealing the characteristics of power consumption and providing real-time power system planning. Based on the rich historical data in power system, this paper proposed a method of short-term load forecasting model based on ICSO_RF_GRU network. The improved chicken swarm algorithm (ICSO) was used to optimize the number of decision trees and splitting characteristics in the random forest model, so that the performance of the random forest model is the best. Then, the random forest algorithm was used to fuse three GRU networks with different structures and perform group forecasting to get the load forecasting results of different groups. Finally, the forecasting results of each group were added to get the forecasting results. The historical load data of a prefecture level city power grid in Jiangsu Province is used for simulation analysis. Compared with the traditional prediction model, the prediction model proposed in this paper has better prediction accuracy.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"34 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":"114943342","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}

引用次数: 0

Research on Future Education Development under the trend of Information Technology and Artificial Intelligence in the Sixth Scientific and Technological Revolution 第六次科技革命中信息技术与人工智能趋势下的未来教育发展研究

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00131

Qingchu Jiang, Tianmei Mao

{"title":"Research on Future Education Development under the trend of Information Technology and Artificial Intelligence in the Sixth Scientific and Technological Revolution","authors":"Qingchu Jiang, Tianmei Mao","doi":"10.1109/ICAIE53562.2021.00131","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00131","url":null,"abstract":"With the rapid rise of big data, cloud computing, artificial intelligence and other emerging technologies and their wide application in various fields of society, the Sixth Scientific and Technological Revolution is quietly infiltrating human habitat, which Includes the field of education. At present, China's education development is also facing the challenges of education reform. Based on the influence of technological revolution on the future, this paper investigates the development of educational technology for China's educational reform. Our education should change the teaching form through multimedia and online classroom tools, and expand the new teaching content under the analysis of Artificial Intelligence (AI). On the one hand, informatization, internationalization and knowledge economy bring severe external challenges to education. On the other hand, China's education is facing such problems as educational injustice, lack of innovation and lack of lifelong education system. Traditional educational concepts, models and methods are no longer able to adapt to the new development situation, and there is an urgent need to promote systematic changes in education as a whole. Based on the future impact of the Sixth Scientific and Technological Revolution, this study aims to clarify the scientific trend and law of education in the future. In view of these problems, this paper puts forward concrete analysis and countermeasures for China's educational reform in combination with the technological development in the field of education.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"2 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":"115008536","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}

引用次数: 0

Topics and their Evolution in the research field of Teaching Chinese as A Foreign Language : A bibliometrics analysis based on VOSviewer 对外汉语教学研究领域的主题及其演变——基于VOSviewer的文献计量学分析

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00142

Zhigang Hu, Hanning Guo

引用次数: 1

The Application of Artificial Intelligence in Public Administration 人工智能在公共管理中的应用

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00063

Xihui Hou

引用次数: 0