2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)最新文献_第4页

Using Artificial Intelligence-based Online Translation Website to improve the Health Education in International Students 利用基于人工智能的在线翻译网站提高留学生健康教育水平

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00012

Tao Jiang, Wenqin Li, Jiashu Wang, Xinguo Wang

{"title":"Using Artificial Intelligence-based Online Translation Website to improve the Health Education in International Students","authors":"Tao Jiang, Wenqin Li, Jiashu Wang, Xinguo Wang","doi":"10.1109/ICAIE53562.2021.00012","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00012","url":null,"abstract":"The purpose of this study is to test the feasibility of using AI-based online translation tools in health management education to determine its effect on improving health management education. Several of the current mainstream online translation tools for translating English literature related to health management education have been tested. The knowledge of health management translated by the online translation tool is translated into the mother tongue for the evaluation of the students’ cognitive ability of the relevant knowledge. The online questionnaire was used to provide feedback on students’ understanding and mastery of health management knowledge translated into their native language. The mainstream online translation tools already allow students to translate basic health education materials into their native language. The mainstream translation tools with the assistance of artificial intelligence can achieve high accuracy in the translation of short sentences in health education materials. The results show that the online translation of health education materials from non-native language to native language can basically enable students to obtain the correct understanding of health education materials. Of course, converting long sentences in health education materials into short sentences to improve the accuracy of intelligent translation tools can effectively improve the cognitive effect. Future research could further validate the AI-assisted learning of health education materials in non-native languages.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"20 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":"122143144","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: 3

Exploring the influence of psychological empowerment on student’s learning performance in a blended learning environment based on the structural equation model 基于结构方程模型探讨混合学习环境中心理赋权对学生学习绩效的影响

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00071

Li-Yu Tseng, Chiou Fong Wei, Ying Zhang

{"title":"Exploring the influence of psychological empowerment on student’s learning performance in a blended learning environment based on the structural equation model","authors":"Li-Yu Tseng, Chiou Fong Wei, Ying Zhang","doi":"10.1109/ICAIE53562.2021.00071","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00071","url":null,"abstract":"Today's Generation Z students have entered to the university. Traditional teaching cannot meet their learning needs. Teachers must create an environment that can enhance their learning abilities. This paper aims to explore how to use teachers' psychological empowerment to increase students' creativity, learning satisfaction, and learning performance in a blended learning environment. After collecting 172 valid questionnaires, this research uses the structural equation model to verify the proposed conceptual model. This study used Cronbach’s α (> 0.7), CR (> 0.7), and AVEs (> 0.5) to test the reliability and the validity of the construct. Besides, the χ2/df ratio (< 3.0) and other indicators of goodness of fit (RMSEA= 0.059, CFI= 0.97, IFI= 0.96, NFI= 0.97) were used to test the model fit. The results show that teachers' psychological empowerment has a positive impact on students’ creativity (β = 0.44, p < 0.001), learning satisfaction (β = 0.25, p < 0.001) and learning performance (β = 0.17, p < 0.001). Students' creativity (β= 0.78, p< 0.001) and learning satisfaction (β= 0.18, p< 0.01) have a positive impact on their learning performance.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"8 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":"125538548","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

Interaction Design and Realization of Sound-controlled Graphics in Decoration Sculpture Based on Modern New Media and Algorithmic Aided Design Technology 基于现代新媒体和算法辅助设计技术的装饰雕塑声控图形交互设计与实现

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00025

Liao Jiaqi

{"title":"Interaction Design and Realization of Sound-controlled Graphics in Decoration Sculpture Based on Modern New Media and Algorithmic Aided Design Technology","authors":"Liao Jiaqi","doi":"10.1109/ICAIE53562.2021.00025","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00025","url":null,"abstract":"Based on the current situation that interior furnishings design is mostly static and conveys information by itself, with display sculpture as the carrier, modern new media and algorithmic aided design technology are applied in it, and the interactive mode and realization method of sculpture and human in the indoor environment of architecture are discussed. On the basis of studying the generation rules and rules of inorganic flower works in village, mountain and city, using computer algorithm programming, 80 pieces of centrally symmetrical flower-like decorative graphics were optimized and generated. This paper uses the PATHON language to write the voice recognition program and test it. After the test, the interactive projection technology is used to project the figure on the plaster sculpture. At the same time, the external microphone device is connected to realize the synchronous switch of the sound to the figure. This research aims to strengthen the artistic expression of decorative sculpture design, realize the combination of technology and art, and provide a realizable interactive way for the development of other interior furnishings design in the future.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"25 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":"126442824","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

Students’ Learning Performance Evaluation Using a New Fuzzy Inference System 基于新型模糊推理系统的学生学习绩效评价

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00143

Shuang Wen, DongFeng Liu

{"title":"Students’ Learning Performance Evaluation Using a New Fuzzy Inference System","authors":"Shuang Wen, DongFeng Liu","doi":"10.1109/ICAIE53562.2021.00143","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00143","url":null,"abstract":"The research of computer technology in the field of education makes Intelligent Tutoring System (ITS) birth and develop rapidly. The main advantage of an ITS is it can provide appropriate teaching content according to students’ knowledge state, level and ability. Reasonable evaluation of students’ learning performance is the key and difficult point in ITS design. Using fuzzy logic to evaluate students’ learning performance is not a very new method. However, most approaches rely extremely on student’s answer time for each question, which are seldom collected in common exams. Given this insight, we present a new fuzzy inference mechanism in this paper to calculate students’ ranking order without dependence of the answer times. According to the importance, complexity and difficulty of the problem, new reasoning rules are set up to accurately evaluate the comprehensive level of problem. The results of the case study show that each student’s grades are distinguished, even for those with the same grades. The proposed method in this paper enriches the present evaluation approach of students’ performance, and is utilizable to analyze the direct relationship of students’ scores with the attributes of each question.","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":"129985239","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

OJ Intelligent Training System based on Artificial Intelligence for Hierarchical Personalized Teaching 面向分层个性化教学的人工智能OJ智能训练系统

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00044

Qiubo Huang, Zixuan Liu, Ting-ting Lu

{"title":"OJ Intelligent Training System based on Artificial Intelligence for Hierarchical Personalized Teaching","authors":"Qiubo Huang, Zixuan Liu, Ting-ting Lu","doi":"10.1109/ICAIE53562.2021.00044","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00044","url":null,"abstract":"This paper introduces a new feature of the OJ system at Donghua University: intelligent training. Compared to other OJ systems, our OJ has the following features: 1) A clustering algorithm is used to classify the problems. When a student completes a category of problems, he or she passes a level and is awarded the corresponding score. 2) The system intelligently determines whether a student can pass the level or not. Generally, students with higher abilities need to complete fewer problems but receive higher scores. 3) The system uses a classification algorithm to determine whether plagiarism has occurred based on the code submitted by the student and the behavioral characteristics of the student at the time of submission, thus preventing plagiarism as much as possible. 4) The system uses a BP neural network to predict students' final exam scores, and then uses that predicted value as a point for reflecting ability to enhance students' sense of achievement in completing the practices. The OJ intelligent training model, based on the above features, allows students to train themselves at different levels according to their ability. Weaker students can practice more at lower levels to strengthen their foundation, while stronger students can practice more at higher levels to compete in competitions. This achieves the goal of personalized teaching at different levels and achieves better teaching results.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"38 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":"128293156","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

Analysis of Systematic Reform of Future Teaching in the Age of Artificial Intelligence 人工智能时代未来教学的系统改革分析

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00154

Wang Caijun, Jin Xi, Zheng Zhenzhou

{"title":"Analysis of Systematic Reform of Future Teaching in the Age of Artificial Intelligence","authors":"Wang Caijun, Jin Xi, Zheng Zhenzhou","doi":"10.1109/ICAIE53562.2021.00154","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00154","url":null,"abstract":"Artificial intelligence has developed rapidly in recent years, which not only brings convenience to people’s lives, but also plays an important role in education. In the past, teachers mainly relied on relevant teaching materials to prepare lessons, but now teachers can use artificial intelligence technology to prepare lessons, which reduces the burden of preparing lessons for teachers. Artificial intelligence, referred to as AI for short, is a branch of computer science, and it is a discipline that studies how to make computers simulate people’s thinking and intelligent behavior. The application of artificial intelligence in education can promote education equality and improve teaching efficiency. For example, in some remote mountain schools, educational resources are scarce. The application of artificial intelligence can integrate and share educational resources to the network platform to achieve education equality. Then, this paper analyzes and explores how to change the teaching methods in the future. Starting from the current situation of the development of artificial intelligence in China and combining with the current teaching, it continuously analyzes and studies the teaching methods incorporating artificial intelligence to promote the systematic reform and development of future teaching.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"5 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":"128546604","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

Affecting Factors Analysis on Second Language Learning Based on Linear Regression 基于线性回归的第二语言学习影响因素分析

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00028

Hongxiu Liu

{"title":"Affecting Factors Analysis on Second Language Learning Based on Linear Regression","authors":"Hongxiu Liu","doi":"10.1109/ICAIE53562.2021.00028","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00028","url":null,"abstract":"With the development of artificial intelligence and machine learning technology, language education has also entered the road of technological reform. Also, as learners progress with different speed at the second language acquisition, the factors to influence the progressive speed have become a concern for many linguistics. According to the literature statistics and factors data collection of second language learning in history, this paper analyzes the influencing factors by linear regression through SPSSAU. Through new techniques and methods, we can further study the influencing factors of second language learning. This study first gives a comprehensive overview of some internal factors, especially individual differences, and a brief analysis of external factors, then scrutinizes the correlation between motivation and second language learning. The study not only sorts out four major periods with corresponding leading linguistics and theories in history, but also points out the latest development in theories, research methodologies, practical approaches and research centers. By comparing and analyzing the data of influencing factors, the elements of second language acquisition can be displayed more clearly, which can be the basis for our future improvement of language teaching. Critical views are offered in the end for further research.","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":"131236455","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

Reasearch on Application of Blended Teaching Model in the Course of University computer foundation in military academies 混合教学模式在军校大学计算机基础课程中的应用研究

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00088

Xuebo Zhang, Liting Sun, Lin Wang, Jinlin Li, Lei Chen

{"title":"Reasearch on Application of Blended Teaching Model in the Course of University computer foundation in military academies","authors":"Xuebo Zhang, Liting Sun, Lin Wang, Jinlin Li, Lei Chen","doi":"10.1109/ICAIE53562.2021.00088","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00088","url":null,"abstract":"The traditional blended teaching model mostly relies on students' autonomous learning ability in their spare time, not suitable for personnel training in military academies, also cannot meet the needs of cultivating high-quality practical talents according to the uniqueness of teaching activities in military academies. In view of the situation, the paper proposes a new platform-based blended teaching model, which is based on pad class and virtual training. Firstly, from the perspective of technology for implementation, in the platform-based blended teaching model, all applications supporting blended teaching should be unified application access standards, and the internal data sharing mechanism can realize, which could achieve the quality and efficiency analysis of teaching effect based on big data. Furthermore, from the perspective of function realization, the teaching activities are divided into several pad class models scientifically, and the learning methods are divided into fine-grained again. The learning characteristics of military cadets are fully considered, and the enthusiasm and initiative of cadets are improved in their limited learning time. Taking the course of \"university computer foundation\" as an example for practical application, this model has operability in military academies, and satisfy the demand of the actual teaching practice.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"51 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":"127281517","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

Relationship between English Listening Proficiency and Cognitive Styles under the Web-based Instructional Model 网络教学模式下英语听力水平与认知风格的关系

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00163

Zan Yanjizhaoma, Zhang Hanbin

{"title":"Relationship between English Listening Proficiency and Cognitive Styles under the Web-based Instructional Model","authors":"Zan Yanjizhaoma, Zhang Hanbin","doi":"10.1109/ICAIE53562.2021.00163","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00163","url":null,"abstract":"Web-based instructional model and classroom teaching may have different effects on English listening performance of high school students with different cognitive styles. This paper mainly focuses on the field-independent and field-dependent theories of the cognitive styles, and adopts a combination of quantitative and qualitative research methods to collect data on the cognitive styles of senior high school students and their English listening scores under the web-based instructional model and ultimately figure out their relationships. According to the research results, it can be seen that, under the web-based instructional model, students with field-independent and field-dependent cognitive styles show great differences in listening proficiency, that is, the listening proficiency of the field-independent students are much higher than that of the field-dependent ones. The result inspires the teachers to adopt appropriate web-based listening teaching methods. Only when teaching and learning are complementary and compatible with each other can the students’ learning enthusiasm be improved; therefore, the efficiency of listening teaching can be further improved.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"21 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":"116185838","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

Higher Education Grading System Based on Markov Chains and A Possible Policy for Chineses Higher Education System 基于马尔可夫链的高等教育分级体系与中国高等教育体系的一种可能政策

2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00087

Jiawei Qiu

引用次数: 0