Pub Date : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105354
Chunying Wang
A BP neural network model is built for the comprehensive evaluation of students' learning effects of market research courses using Python. Combined with the reverse instructional design in market research courses, a learning effect evaluation index system with 13 indicators under the three dimensions of knowledge, ability, and quality goal achievement is constructed. By using 263 sets of sample data of simulation experiment learning training, students' learning effect in the market research course is evaluated based on BP neural network. The BP neural network-based evaluation model of the learning effect of the course avoids the subjectivity of evaluation index weight evaluation and improves the speed of evaluation. Compared with traditional weight evaluation, the proposed method has better efficiency and effect. The test result shows that the comprehensive evaluation model has strong applicability and provides new methods and ideas for the evaluation of the learning effect.
{"title":"Evaluation of Learning Effect of Reverse Teaching Design Based on BP Neural Network","authors":"Chunying Wang","doi":"10.1109/ECEI57668.2023.10105354","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105354","url":null,"abstract":"A BP neural network model is built for the comprehensive evaluation of students' learning effects of market research courses using Python. Combined with the reverse instructional design in market research courses, a learning effect evaluation index system with 13 indicators under the three dimensions of knowledge, ability, and quality goal achievement is constructed. By using 263 sets of sample data of simulation experiment learning training, students' learning effect in the market research course is evaluated based on BP neural network. The BP neural network-based evaluation model of the learning effect of the course avoids the subjectivity of evaluation index weight evaluation and improves the speed of evaluation. Compared with traditional weight evaluation, the proposed method has better efficiency and effect. The test result shows that the comprehensive evaluation model has strong applicability and provides new methods and ideas for the evaluation of the learning effect.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130278799","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105388
Kai Liu, Faqiang Cui
A financial early warning model of vocational schools is proposed in this study based on the least squares support vector machine. In the model, the relevant data is provided by particle swarm optimization. By designing appropriate verification performance indicators and using the particle swarm optimization method, the correlation value of the vector machine was optimized for minimizing the multiplication, and through the data of listed companies, the financial analysis of vocational colleges was verified. The simulation results showed that the simulation accuracy of the method was satisfactory, and the method was also reasonable and efficient.
{"title":"Research on Financial Data Analysis and Early Warning Model of Vocational Colleges Based on Particle Swarm Optimization","authors":"Kai Liu, Faqiang Cui","doi":"10.1109/ECEI57668.2023.10105388","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105388","url":null,"abstract":"A financial early warning model of vocational schools is proposed in this study based on the least squares support vector machine. In the model, the relevant data is provided by particle swarm optimization. By designing appropriate verification performance indicators and using the particle swarm optimization method, the correlation value of the vector machine was optimized for minimizing the multiplication, and through the data of listed companies, the financial analysis of vocational colleges was verified. The simulation results showed that the simulation accuracy of the method was satisfactory, and the method was also reasonable and efficient.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130112514","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105344
Taoyan Hu, Bo Zhang
In the educational administration of physical education courses in colleges and universities, the school must combine several special classes according to specific methods when students choose courses online or offline. It is important to choose the combination method that best conforms to the school's specific strategy as the method is used to solve the problem of class combination. In the educational administration, students must be integrated into special classes at the same level according to the age limit to minimize the withdrawal of classes and balance the number of students in classes as much as possible. According to these methods, a mathematical model is built based on the usual simple method after optimization. The optimized calculation is combined with multiple adjustment operations to reduce the frequency of repeated operations. The study of its computational effect shows a linear complexity. This method is reasonable and feasible in the management of physical education at colleges and universities shows that this method.
{"title":"Research on Algorithm of Selecting Courses and Combining Classes in College Physical Education Network Teaching Platform Based on Linear Equilibrium","authors":"Taoyan Hu, Bo Zhang","doi":"10.1109/ECEI57668.2023.10105344","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105344","url":null,"abstract":"In the educational administration of physical education courses in colleges and universities, the school must combine several special classes according to specific methods when students choose courses online or offline. It is important to choose the combination method that best conforms to the school's specific strategy as the method is used to solve the problem of class combination. In the educational administration, students must be integrated into special classes at the same level according to the age limit to minimize the withdrawal of classes and balance the number of students in classes as much as possible. According to these methods, a mathematical model is built based on the usual simple method after optimization. The optimized calculation is combined with multiple adjustment operations to reduce the frequency of repeated operations. The study of its computational effect shows a linear complexity. This method is reasonable and feasible in the management of physical education at colleges and universities shows that this method.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610981","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105425
Min Wu, Chen-Yu Chiu, JianMin Huang, Jian-Xin Chen, Hao-Jyun Wang, Ying Lin
Web pages are increasing due to the rapid development of information technology. Many tasks were previously only possible by installing software on the computer. However, cloud service satisfies cross-platform requirements with the arrival of the multi-device age. Original technologies such as Flash and other proprietary technologies from different manufacturers have made complex content simple, but they also have cross-platform problems. JavaScript is a common user-side scripting language to support the standardization of online pages. Using JavaScript arouses concern over its security. Hackers frequently change their attack strategies. Therefore, it is crucial to learn how to effectively and promptly fight against them. Thus, the defense of JavaScript on the client side is the main topic of this research. By integrating VirusTotal, a cloud security analysis service on the browser is developed for users to use the most recent malware database and examine different JavaScript files online to prevent harmful code from being executed.
{"title":"Protection Mechanism in JavaScript Attacks","authors":"Min Wu, Chen-Yu Chiu, JianMin Huang, Jian-Xin Chen, Hao-Jyun Wang, Ying Lin","doi":"10.1109/ECEI57668.2023.10105425","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105425","url":null,"abstract":"Web pages are increasing due to the rapid development of information technology. Many tasks were previously only possible by installing software on the computer. However, cloud service satisfies cross-platform requirements with the arrival of the multi-device age. Original technologies such as Flash and other proprietary technologies from different manufacturers have made complex content simple, but they also have cross-platform problems. JavaScript is a common user-side scripting language to support the standardization of online pages. Using JavaScript arouses concern over its security. Hackers frequently change their attack strategies. Therefore, it is crucial to learn how to effectively and promptly fight against them. Thus, the defense of JavaScript on the client side is the main topic of this research. By integrating VirusTotal, a cloud security analysis service on the browser is developed for users to use the most recent malware database and examine different JavaScript files online to prevent harmful code from being executed.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131220716","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105357
Honghai Guan, Lin Zheng, Xinlei Yuan, Song Han, Shuping Li
In using education cloud services, users do not need to worry about the hardware configuration, software deployment, storage and backup, data security, and other issues. Users only need to have the network and terminal devices (fixed terminals and mobile terminals) to access education cloud resources anytime and anywhere. The purpose of this study is to propose the design of an education information technology platform based on cloud architecture technology. The j2ee technology is described, and the functions of each functional module are introduced separately. The problems faced by the platform's job scheduling performance are explored to propose weighted polling with a priority algorithm (PBWRR). Through comparison experiments with the FCFS algorithm, PBWRR satisfies the prioritization process while improving the efficiency of the education information technology platform. The application of educational information platform has a promoting effect on the high-quality development of rural basic education.
{"title":"Cloud-based Architecture for Education Informatization Platform","authors":"Honghai Guan, Lin Zheng, Xinlei Yuan, Song Han, Shuping Li","doi":"10.1109/ECEI57668.2023.10105357","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105357","url":null,"abstract":"In using education cloud services, users do not need to worry about the hardware configuration, software deployment, storage and backup, data security, and other issues. Users only need to have the network and terminal devices (fixed terminals and mobile terminals) to access education cloud resources anytime and anywhere. The purpose of this study is to propose the design of an education information technology platform based on cloud architecture technology. The j2ee technology is described, and the functions of each functional module are introduced separately. The problems faced by the platform's job scheduling performance are explored to propose weighted polling with a priority algorithm (PBWRR). Through comparison experiments with the FCFS algorithm, PBWRR satisfies the prioritization process while improving the efficiency of the education information technology platform. The application of educational information platform has a promoting effect on the high-quality development of rural basic education.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"62 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124982507","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105412
Junjie Chen
The improvement of students' English and application largely depends on words. Based on similar association law, comparative thinking method, and similar association method, this study is carried out to analyze the mechanism of English word associative memory and design an auxiliary system of English word associative memory using computer software. The experimental teaching results show that the system can effectively improve the students' word memory effect and learning efficiency by 45%.
{"title":"Design and Application of English Vocabulary Computer Aided Learning System Based on Associative Memory","authors":"Junjie Chen","doi":"10.1109/ECEI57668.2023.10105412","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105412","url":null,"abstract":"The improvement of students' English and application largely depends on words. Based on similar association law, comparative thinking method, and similar association method, this study is carried out to analyze the mechanism of English word associative memory and design an auxiliary system of English word associative memory using computer software. The experimental teaching results show that the system can effectively improve the students' word memory effect and learning efficiency by 45%.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115595429","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105341
C. Xiao
With the in-depth development of information technology, educational information technology has been applied more in teaching and plays a complementary, auxiliary and even leading role. Thus, this study was carried out to understand the influence of barrage quality control on college students' learning process and results by taking barrage assisted teaching technology. A total of 204 valid questionnaires were received from students in a university under the guidance of teachers through the questionnaire Star platform. The structural equation model (SEM) was established to verify the relationship between the influence of teaching assistive technology on the learning process and the learning results. The results verified that in the classroom teaching assisted by barrage, barrage quality control positively affected the learning process, and the learning process positively affected the learning result. Chi-square freedom ratio =1.85 (<3), GFI=0.942 (>0.9), RMSEA=0.065 (< 0.1), RMR=0.035 (< 0.05), CFI=0.975 (> 0.9), NFI =0.947 (> 0.9), NNFI=0.965 (> 0.9), It indicates that the fitting validity of the whole model is good. This study verifies that the path of barrage quality control - learning process - learning result is established, and the model shows that technical controls such as barrage quality, course content, and teacher management can alleviate learning burnout, increase learning interaction and learning process satisfaction, and improve social ability. In turn, these can promote students' learning enthusiasm, knowledge memorization, and application ability.
{"title":"Research on Influence of Teaching Assistance Technology on Students' Learning Process and Learning Result Based on Structural Equation Model","authors":"C. Xiao","doi":"10.1109/ECEI57668.2023.10105341","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105341","url":null,"abstract":"With the in-depth development of information technology, educational information technology has been applied more in teaching and plays a complementary, auxiliary and even leading role. Thus, this study was carried out to understand the influence of barrage quality control on college students' learning process and results by taking barrage assisted teaching technology. A total of 204 valid questionnaires were received from students in a university under the guidance of teachers through the questionnaire Star platform. The structural equation model (SEM) was established to verify the relationship between the influence of teaching assistive technology on the learning process and the learning results. The results verified that in the classroom teaching assisted by barrage, barrage quality control positively affected the learning process, and the learning process positively affected the learning result. Chi-square freedom ratio =1.85 (<3), GFI=0.942 (>0.9), RMSEA=0.065 (< 0.1), RMR=0.035 (< 0.05), CFI=0.975 (> 0.9), NFI =0.947 (> 0.9), NNFI=0.965 (> 0.9), It indicates that the fitting validity of the whole model is good. This study verifies that the path of barrage quality control - learning process - learning result is established, and the model shows that technical controls such as barrage quality, course content, and teacher management can alleviate learning burnout, increase learning interaction and learning process satisfaction, and improve social ability. In turn, these can promote students' learning enthusiasm, knowledge memorization, and application ability.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116851648","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105257
Xi Luan
In order to improve the quality of French in colleges and universities, a French quality data analysis model is proposed integrating the personal information of teachers, students, and teaching methods. The random forest algorithm is used to measure and describe the feature correlation between teachers and students, the feature correlation between objects and target variables, and the more accurate feature classification method is used to filter and save the optimal feature subset. Through the long and short memory in the self-attention mechanism, the neural network combines the portrait information of teachers and students as well as the French teaching information and carries out an in-depth analysis of the relevant data. Then, a more accurate conclusion is drawn on the correlation between the quality of French teaching and the relevant parameters. The empirical analysis results show that the proposed model effectively analyzes the relevant factors and rankings that affect the quality of French teaching at this stage and obtains more reasonable French teaching data to improve the quality of French teaching.
{"title":"Design of French Teaching Effect Analysis Model Based on Random Forest Algorithm and Neural Network","authors":"Xi Luan","doi":"10.1109/ECEI57668.2023.10105257","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105257","url":null,"abstract":"In order to improve the quality of French in colleges and universities, a French quality data analysis model is proposed integrating the personal information of teachers, students, and teaching methods. The random forest algorithm is used to measure and describe the feature correlation between teachers and students, the feature correlation between objects and target variables, and the more accurate feature classification method is used to filter and save the optimal feature subset. Through the long and short memory in the self-attention mechanism, the neural network combines the portrait information of teachers and students as well as the French teaching information and carries out an in-depth analysis of the relevant data. Then, a more accurate conclusion is drawn on the correlation between the quality of French teaching and the relevant parameters. The empirical analysis results show that the proposed model effectively analyzes the relevant factors and rankings that affect the quality of French teaching at this stage and obtains more reasonable French teaching data to improve the quality of French teaching.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122693216","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105262
Xinyue Bi, Tianyu Lv, Zheyan Cheng, Xinye Hong, Ning Miao, Rui Li, Gang Wang, Gang Ren
Physical exercise is essential for maintaining a healthy life, and regular health training is critical for patients with chronic diseases. Although the patient has access to a wide range of exercise prescriptions that combine aerobic, muscle-strengthening, stretching, and neuromuscular activities, exercising effectively and regularly is difficult without motivation and guidance at home. Therefore, we suggest a system design to enhance the health training education experience at home with volumetric video and wearable mixed reality. We track the cycling data on an indoor cycle trainer equipped with sensors, and then we employ IoT protocols to deliver the riding data to an application server. The server evaluates the training scenario and provides the HMD with the information for correction suggestions. The HMD, then, displays the instructions as a volumetric movie in the right place to facilitate the training. We discuss the design of volumetric video recording and replaying as well as early user responses.
{"title":"Enhancing Health Training Education Experience with Volumetric Video and Wearable Mixed Reality","authors":"Xinyue Bi, Tianyu Lv, Zheyan Cheng, Xinye Hong, Ning Miao, Rui Li, Gang Wang, Gang Ren","doi":"10.1109/ECEI57668.2023.10105262","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105262","url":null,"abstract":"Physical exercise is essential for maintaining a healthy life, and regular health training is critical for patients with chronic diseases. Although the patient has access to a wide range of exercise prescriptions that combine aerobic, muscle-strengthening, stretching, and neuromuscular activities, exercising effectively and regularly is difficult without motivation and guidance at home. Therefore, we suggest a system design to enhance the health training education experience at home with volumetric video and wearable mixed reality. We track the cycling data on an indoor cycle trainer equipped with sensors, and then we employ IoT protocols to deliver the riding data to an application server. The server evaluates the training scenario and provides the HMD with the information for correction suggestions. The HMD, then, displays the instructions as a volumetric movie in the right place to facilitate the training. We discuss the design of volumetric video recording and replaying as well as early user responses.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124197221","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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