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Day 1 20/06/2020
Room #1

Welcome speech by Program Chair 08:00 - 08:35

8 AM CST (GMT+8)

Welcom speechy by EAI Conference Manager 08:35 - 08:40

Welcome speech by EAI Community Manager 08:40 - 08:45

Coffee Break (10 minutes) 08:45 - 08:55

Session 1 09:00 - 09:00

09:00 - 09:00
Design of teaching platform for visual programming of industrial robot based on PBL and multimedia

Aiming at the problem of poor load capacity in the traditional teaching platform of industrial robot visual programming, the teaching platform of industrial robot visual course based on PBL and multimedia is designed. This paper designs the teaching mode based on PBL mixed multimedia, realizes the communication of teaching data by using MVC framework, designs the authority management function of teaching platform according to the idea of unified authority management, considers the burden of multiple people on the platform at the same time, allocates reasonable transmission bandwidth for users, and completes the overall design of teaching platform. The experimental results show that: compared with the traditional teaching platform, the design of industrial robot visual teaching platform based on PBL and multimedia has stronger load capacity, and the platform is suitable for practical projects.
Authors: Peng CHENG (Chongqing Vocational College of Transportation, Chongqing 402247, China),
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09:00 - 09:00
Design of Traditional Teaching Method of Micro-teaching Based on Blended Learning

The traditional teaching method of traditional micro-teaching method for students is inferior in academic performance. Therefore, a traditional teaching method of micro-teaching method based on blended learning is designed for this purpose. First set the teaching goals of traditional exercises and micro-teaching, then set the evaluation standards for the teaching effects of traditional exercises and micro-teaching, and finally achieve hybrid-based teaching by constructing a curriculum knowledge point system, choosing an online learning platform, and being familiar with the teaching strategies of online learning Design of Traditional Teaching Method of Traditional Micro-learning of Gongfa. The experiment proves that the students have achieved higher grades in applying the traditional teaching method based on blended learning than the students who applied the traditional teaching mode, which indicates that the traditional teaching method based on blending learning is used in this course. Mode can improve academic performance and has practical application significance.
Authors: Fang-yan YANG (College of Sports and Health, Changsha Medical University, Changsha 410219, China),
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09:00 - 09:00
Design of General Integrated Teaching System for Operational Research

In order to better improve the teaching effect of operations research, this paper puts forward the design method of general integrated teaching system for operation research. In order to improve the operation effect and hardware configuration of the system, the 64MB video card and AMD Athlon processor of VRAM are selected to optimize the software operation flow of the system. Finally, the experiment proves that the general integrated teaching system for operation research is more practical than the traditional teaching system.
Authors: Jing LIU (School of Mathematics and Statistics, Nanyang Institute of Technology, Nanyang Henan, 473000 China), jun-feng Qiao (School of Mathematics and Statistics, Nanyang Institute of Technology, Nanyang Henan, 473000 China), Sha Yu (Sports Department of Shaanxi University of Traditional Chinese Medicine, Xianyang 712046, China),
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09:00 - 09:00
Design of APP learning platform for oil storage tank mechanical cleaning technology course based on mobile terminal

In view of the high level of network flow consumption existing in the traditional app learning platform of tank mechanical cleaning technology course, the app learning platform of tank mechanical cleaning technology course based on mobile terminal is designed. This paper analyzes the actual needs of different users for the learning platform, completes the database design of the learning platform according to the database design principles, references the W5100 expansion board, realizes the command receiving function based on the mobile terminal, and adds the learning navigation service in the learning platform to help users learn the mechanical cleaning technology of the oil tank, so far the design of the learning platform is completed. The test results show that: compared with the traditional learning platform, the designed app learning platform based on mobile terminal mechanical cleaning technology course has lower network flow consumption level, and the learning platform is more suitable for promotion and use.
Authors: Jun-ru WANG (Chongqing Vocational College of Transportation, Chongqing 402247 China),
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Session 2 09:00 - 09:00

09:00 - 09:00
Evaluation model of aquaculture robot technology research project based on machine learning

With the increase of research projects of aquaculture robot technology, how to evaluate the research projects of aquaculture robot technology effectively has become the primary task in the research process.However, in the use of the original evaluation model, the problem of improper selection of the index range often occurred.Therefore, the evaluation model of aquaculture robot technology research project based on machine learning is designed. Obtain the evaluation index of aquaculture robot technology project, calculate the index weight to build the evaluation index system, use machine learning algorithm to complete the collection of evaluation samples, and use the above settings to build the evaluation model of aquaculture robot technology research project.At this point, the evaluation model of the aquaculture robot technology research project based on machine learning has been designed. It is known from experimental comparison that this model is better than the original model.
Authors: Peng CHENG (Chongqing Vocational College of Transportation, Chongqing 402247, China),
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09:00 - 09:00
Evaluation model of case teaching effect of engineering cost based on data mining

Aiming at the problem that the traditional teaching effect evaluation model of engineering cost case is less comprehensive, a teaching effect evaluation model of engineering cost case based on data mining is designed. Based on data mining, the evaluation data of teaching effect of engineering cost cases are mined, a series of relevant data are analyzed and obtained by using the method of data mining process, and the clustering analysis of evaluation data is realized by using the typical k-means algorithm. According to the result of cluster analysis, the evaluation index system of teaching effect of engineering cost cases is designed based on the ability indexes in the professional ability system of engineering cost students. Based on the analytic hierarchy process (ahp), the hierarchical structure of the teaching effect evaluation model of engineering cost cases is established, and then the judgment matrix is constructed, the weight vector is calculated, and the consistency is tested to realize the construction of the teaching effect evaluation model of engineering cost cases. In order to prove that the evaluation benchmark of the teaching effect evaluation model of engineering cost case based on data mining is comprehensive, the traditional teaching effect evaluation model of engineering cost case is compared with the model, and the experimental results show that the evaluation benchmark of this model is comprehensive.
Authors: Qi-rong XIAO,
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09:00 - 09:00
Performance evaluation of integrated circuit industry talent training based on BP neural network

the assessment and evaluation of talent work is a comprehensive evaluation of talent quality, performance and talent value. Many years of talent management practice shows that the introduction of scientific talent evaluation system is the premise of effective development of talent resources and the foundation of personnel work. Based on this, a comprehensive evaluation method of training performance of integrated circuit industry talents based on BP neural network is proposed. On the basis of determining the number of layers and neurons in each layer of BP network, the selection of samples and original values is completed according to the performance data of talent training in integrated circuit industry, and the evaluation model is established with the help of data processing. The experimental results show that the BP neural network can fully absorb the judgment experience of experts and the practical guidance of human resource management, and has a good evaluation effect. It is not only beneficial for enterprises to evaluate scientific and technological talents more scientifically and reasonably, but also provides decision-making basis for human resource management. Secondly, BP neural network is used to evaluate the scientific and technological talents of enterprises. The evaluation process is more simple and quick, and the evaluation results of scientific and technological talents are more scientific and accurate.
Authors: Jing XIA (The Research Institute of Informatization and Industrialization Integration,China Academy of Information and Communications Technology), honggang wang,
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09:00 - 09:00
The satisfaction evaluation model of course resources of automobile maintenance major based on big data

When the conventional course resource satisfaction evaluation model is used to evaluate the automobile maintenance major, the reliability of satisfaction evaluation is low due to the large volume of data. Therefore, a big data-based satisfaction assessment model for the automobile maintenance major is proposed. Based on the loading of teaching satisfaction relationship and sample quantification, the introduction of big data analysis technology, and the use of regression equations for big data evaluation, achieved a comprehensive evaluation of the satisfaction of course resources for automobile maintenance majors.The experimental data show that the reliability of the proposed model is 15.73% higher than that of the conventional model.
Authors: Shou-qing LU (Chongqing Vocational College of Transportation,Chongqing), Yong-ji ZHOU (Chongqing Vocational College of Transportation,Chongqing),
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Lunch Break (30 minutes) 09:00 - 09:00

Session 3 09:00 - 09:00

09:00 - 09:00
Design of Higher Education Aided Teaching System Based on Analysis of Economic Coupling Coordination Degree

Aiming at the problem of the unsatisfactory feedback effect of the traditional auxiliary teaching system, a higher education auxiliary teaching system based on the analysis of economic coupling coordination degree was designed.The auxiliary teaching tasks are assigned based on the degree of economic coupling and coordination, and the interactive feedback of the teaching system is realized by setting the distributed filtering method of the auxiliary system to the teaching content.Experimental results show that compared with the two traditionally designed auxiliary teaching systems, the higher education auxiliary teaching system designed this time has better feedback effect and stronger system stability. It can be seen that the system can be applied to higher education auxiliary teaching tasks.
Authors: Shan WANG (School of Engineering and Management, Pingxiang University, Pingxiang 337000, China),
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09:00 - 09:00
Research on the Dimensions of Art Design Education in Taiwan Shih Chien University

With the increasing frequency and deepening of cultural and educational exchanges between the two sides of the Taiwan Strait and the proposal of the latest requirements given by the social era of the optimization of the professional quality and practical ability of senior art and design talents, the cultivation of art and design talents in Mainland Colleges and universities should adhere to the tradition, open up and innovate, learn from the practical characteristics and new talent cultivation mode of art and design education in Taiwan Colleges and universities, and through focusing on Taiwan The art and design education of bay practice university is analyzed and elaborated from the aspects of curriculum, teachers' construction, campus culture, capital investment, etc., and shows its value and Enlightenment of art and design education, so as to provide innovation and reform of art and design education in mainland China and linkage and complementarity of Art and Design Education Exchange and talent training mechanism between the two sides, and finally realize the art and design between the two sides The high quality and optimization of the education and development of technical design senior talents.
Authors: TIEJUN ZHU (Anhui Polytechnic University), Linlin Zhang (Anhui Polytechnic University),
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09:00 - 09:00
Education reform of construction specialty in the context of upgrading of intelligent construction industry

Traditional architectural education in Colleges and universities pays more attention to theoretical knowledge, and the correlation between professional courses and engineering practice is low. Therefore, the paper puts forward the education reform of construction specialty under the background of intelligent construction industry upgrading. First of all, combining the teaching characteristics of architecture specialty and the related contents of the intelligent buildings involved in the teaching of universities, it sums up from different aspects; integrates the concept of intelligent architecture into architecture education, adds new knowledge points in all grades of architectural majors, and cuts down old knowledge points, and finally, regulates the teaching methods of teachers, and collates the framework of the reform curriculum system, so as to complete this task. Under the background of the upgrading of intelligent construction industry, the education reform and design of construction specialty was carried out. The research results show that the scores of students on the degree of relevance between the reformed professional courses and engineering practice are relatively high. Therefore, it can be proved that the reform on the education of Architectural Specialty in the context of upgrading the intelligent construction industry plays a certain role in improving the degree of relevance between the architectural courses and engineering practice.
Authors: Wei-wei ZHU (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China), Man-li TIAN (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China),
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09:00 - 09:00
High-quality extraction method of education resources based on block chain trusted big data

In order to improve the level of educational administration, it is necessary to extract educational resources with high quality Based on the block chain trust, a high-quality education resource extraction method is proposed, and a model function of high-quality education resource extraction is designed by using the spatial distribution resource scheduling model. In order to judge the convergence of high-quality education resource extraction process, a statistical analysis model of high-quality education resource extraction is established. The method of quantitative feature analysis and fuzzy information clustering is used to extract and control the high quality of educational resources. The root game equilibrium optimization algorithm realizes the optimization of the high quality of educational resources. The simulation results show that the optimization ability of using this method to extract the high quality of educational resources is better, and the scheduling process has strong convergence, It improves the ability of optimal scheduling and acquisition of educational resources.
Authors: Hao ZHANG (School of economics, Zhejiang University, Zhoushan 316000,China), Bin ZHAO (Department of Electronic Science and Technology, Huazhong University of Science and Technology, Zhuji 311800, China), JI-shun MA (Pharmaceutical engineering, Zhejiang University of Chinese Medicine, Zhuji 311800,China),
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09:00 - 09:00
Research on DINA Model in Online Education

Learning tests play an important role in both traditional learning and online learning. The traditional education test can only report students' scores or abilities, but not their knowledge level, which is no longer satisfied with people's requirements. In recent years, DINA model of cognitive diagnosis model has been widely used to diagnose students' knowledge mastery. DINA model can dig out the students' knowledge points and give feedback to the teachers, so that the teachers can make remedial plans for the students' deficiencies in time. This paper first introduces the basic principle of DINA model and the improvement of DINA model in the field of education in recent years. Secondly, we introduce the development of Dina model under the trend of online education, and prove the availability of DINA model in online platform with experimental data. Finally, we predict and analyze the research direction of DINA algorithm in the future.
Authors: Jia Liu (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Wensheng Tang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Xuping He (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Bo Yang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Shengchun Wang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China),
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Session 4 09:00 - 09:00

09:00 - 09:00
Research on multi-agent robot behavior learning based on fuzzy neural network

Human behavior or motion is diverse and complex. In order to design a robot with better sensitivity and better performance, it is necessary to set up multiple control nodes to facilitate the control robot to imitate the trajectory of human motion.However, due to the traditional robot behavior learning method, the control nodes are relatively single, and there is no clear behavior target node for the reference object, which leads to a large deviation in the robot behavior learning trajectory. Therefore, a fuzzy neural network-based Multi-agent robot behavior learning method.This method is based on the fuzzy neural network to control the behavior of robot. By optimizing the learning parameters of robot behavior, it can enhance the search program of behavior learning. According to the multi-level robot behavior learning model, it can identify the master-slave target of reference object and realize a more accurate multi-agent robot behavior learning method.The test results show that compared with the traditional method, the behavior trajectory of the proposed method is basically consistent with the behavior trajectory of the reference object. It can be seen that the method has better performance and meets the research requirements at the current stage.
Authors: Jun-ru WANG (Chongqing Vocational College of Transportation, Chongqing 402247 China),
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09:00 - 09:00
Simulation training remote control system of industrial robot based on deep learning

In order to improve the remote control performance of industrial robot simulation training, deep learning algorithm is used to optimize the design of traditional remote control system. On the basis of traditional remote control system, the configuration of hardware system is modified, and the database of control system is established. With the support of hardware system and database, the remote control of two training items of industrial robot simulation mobile training and simulation picking training are realized respectively. Through the system test experiment, the conclusion is drawn: compared with the traditional industrial robot remote control system, the control function of the design control system is improved, and the system can save about 12.5 seconds response time in the control process.
Authors: Dan ZHAO (Beijing Polytechnic, College of Mechatronic Engineering, Beijing 100176, China), Ming-fei Qu (Beijing Polytechnic, College of Mechatronic Engineering, Beijing 100176, China),
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09:00 - 09:00
Design of Embedded Course Teaching System Based on Cognitive Computing

The traditional embedded curriculum teaching system is not comprehensive, which leads to poor learning performance of students. Therefore, an embedded curriculum teaching system based on cognitive computing is designed. The design of the system mainly includes two aspects: hardware and system software. The hardware part of the system includes three parts: controller, memory and microprocessor. The software part of the system focuses on the design of database, the detailed division of teaching content, students' situation, curriculum situation, etc., and the setting of evaluation standards, the evaluation of students' learning situation, so as to complete the embedded system based on cognitive computing The design of course teaching system. Experiments show that the design of the embedded curriculum teaching system based on cognitive computing has higher scores than the traditional system, and has practical significance.
Authors: Hai-hong BIAN (Nanjing Institute of Technology, Nanjing 210000, China), Yi-qun ZHONG (Nanjing Institute of Technology, Nanjing 210000, China), Yan WANG (School of Information and Control,Shenyang institute of technology),
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09:00 - 09:00
Construction of Network Course System of Construction Machinery Specialty Based on Cloud Class

Aiming at the deficiency of low knowledge conversion rate in the network course system of three specialties of construction machinery at present, this paper puts forward research on the construction of network course system of construction machinery based on cloud class. Based on the structure of modular curriculum organization, hierarchical curriculum stage and collaborative curriculum development process, the network curriculum process is designed, and the learning module is developed from the perspective of learners. It is divided into seven modules: teaching project, teaching design, exercise 1, exercise 2, assignment arrangement, interactive evaluation, learning experience, designing database storage system resources, realizing the operation of network course system of engineering machinery specialty, etc. The experimental results show that the designed course system of construction machinery network greatly improves the knowledge conversion rate compared with the existing three course systems, which fully shows that the designed course system of construction machinery network has better performance.
Authors: youjun xu (College of Rail Transit, Nanjing Vocational Institute of Transport Technology, Nanjing 211188,China),
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09:00 - 09:00
Construction of dual system teaching system for automobile detection and maintenance under 1+X certificate system

Facing the urgent demand of "zero-distance" applied talents in automobile maintenance manufacturing industry, it is imperative to reform the current teaching system, teaching contents and teaching methods.Therefore, this paper proposes a dual system teaching system for automobile detection and maintenance under the 1+X certificate system.This paper analyzes the connotation and function of "1 + X certificate system", and probes into the "dual system" in Germany, including its meaning and enlightenment to China's vocational education.Under the background of 1 + X certificate system, combined with the "dual system" in Germany, the dual-system teaching system of automobile detection and maintenance was established to strengthen the professional ability training of professional teachers with "X" certificates.Finally, the benefits of the dual-system teaching system of automobile testing and maintenance specialty are analyzed. The results show that: after the implementation of the dual-system teaching system under the 1+X certificate system, the performance of the experimental class is significantly improved compared with that of the ordinary class, which fully demonstrates the improvement of teaching quality and proves the advantages of the implementation of the teaching system under the 1+X certificate system.
Authors: Hai-jing ZHOU, Shao-feng HAN (Vocational Education Center of Qianjiang Chongqing),
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09:00 - 09:00
Application of Open-source Software in Knowledge Graph Construction

Knowledge graph(KG), as a new type of knowledge representation, has gained much attention in knowledge engineering. It is difficult for researchers to construct a high-quality KG. Open-source software(OSS) has been slightly used for the knowledge graph construction, which provide an easier way for researchers to development KG quickly. In this work, we discuss briefly the process of KGC and involved techniques at first. This review also summarizes several OSSs available on the web, and their main functions and features, etc. We hope this work can provide some useful reference for knowledge graph construction.
Authors: Cao Qianqian (Yunnan Normal University), Zhao Bo (Yunnan Normal University),
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Coffee break (20 minutes) 09:00 - 09:00

Session 5 09:00 - 09:00

09:00 - 09:00
Effect Analysis of Physical Education Course Based on Artificial Intelligence

The traditional physical education curriculum teaching stage effect is unable to make the analysis comprehensively to the curriculum each stage factor, therefore proposes based on the artificial intelligence sports curriculum teaching stage effect analysis. Through the collection of PE course teaching stage effect data, judge each stage effect entity relation, calculate each stage effect analysis credibility, complete the teaching stage effect measurement. Simulation experiments are designed to compare the effectiveness of the analysis method based on artificial intelligence and the traditional analysis method in the teaching stage of physical education.
Authors: Tian XIONG (Physical Education Department of Shaanxi University of Traditional Chinese Medicine, Xianyang 712046, China),
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09:00 - 09:00
Automatic detection of image features in basketball shooting teaching based on Artificial Intelligence

In order to weaken the limitation between the adjacent nodes of shooting action teaching image and fully expose the necessary image features, an automatic detection method of shooting action teaching image features based on artificial intelligence is proposed. Starting from the decomposition of shooting teaching action, the practical attribute of shooting teaching image is defined, and then the standardized image detection environment based on artificial intelligence is built according to the action essentials of consistent shooting. On this basis, through the way of extracting the characteristics of teaching image, calculating the characteristic scale value of shooting action, combining with the feature description principle of automatic detection, the design of automatic detection method of shooting action teaching image characteristics is completed. The experimental results show that, compared with the traditional feature method, the UTI traction coefficient between the adjacent nodes of the image increases to 0.33, while the matching time required for detection decreases to 17.5mm, so as to fully expose the necessary features of the shooting action teaching image.
Authors: Sha Yu (Sports Department of Shaanxi University of Traditional Chinese Medicine, Xianyang 712046 China), Jing LIU (School of Mathematics and Statistics, Nanyang Institute of Technology, Nanyang 473000 China),
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Session 6 09:00 - 09:00

09:00 - 09:00
Data analysis of cost engineer qualification examination system based on data analysis

In order to improve the throughput performance of the cost engineer's practice qualification simulation test system, on the basis of ensuring the normal functioning of the system, data analysis technology is used to optimize the design of the simulation test system. Refit the memory and microprocessor in the hardware system separately, and install remote communication equipment to ensure the real-time transmission of test data. Based on the completion of the hardware device connection, the system's human-computer interaction interface is designed, and the system database information is improved from various aspects such as test questions and candidate information. Based on the hardware equipment and database, the software functions of the cost engineer qualification examination system are realized from the aspects of system role, examination process, and score. Through system test experiments, it was found that the average throughput of the system was improved by 49.2% while ensuring the function of the test system.
Authors: Qi-rong XIAO,
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09:00 - 09:00
Knowledge training system of urban pest control based on big data analysis

Urban insects are a large group of arthropods closely related to urban economic construction and people's life. If they are not effectively controlled, they will bring harm and loss to urban economic construction and people's life. In this context, in order to help the relevant urban management departments to better complete the work of urban pest control, the design of urban pest control knowledge training system based on big data analysis is studied. The research includes the overall design and detailed design of the system. The overall system discusses the overall system architecture, system function architecture, system architecture, system topology and other macro or surface theories. The technical points of the whole training information management system are in the detailed design stage of the system, which is divided into system login configuration module, training demand management module, resource management module, teaching management module, performance management module, system management module and other modules. Finally, the system test and performance analysis are carried out for the system. The results show that the training system can support 500 users to use simultaneously and meet the needs of users' learning and training.
Authors: Xin ZHANG (Beijing Polytechnic, College of Mechatronic Engineering, Beijing 100176, China), Ming-fei Qu (Beijing Polytechnic, College of Mechatronic Engineering, Beijing 100176, China),
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Day 2 21/06/2020
Room #1

Session 7 08:00 - 08:00

8 AM CST (GMT+8)
09:00 - 09:00
On the Evolution of Knowledge Graph Abroad and Its Application in Intelligent Education

The development of education is more and more dependents on the intelligent learning support services in today's information age. The intelligent education supported by artificial intelligence (AI) has drawn more attention. In particular, knowledge graph (KG) becomes the key to promote the development and innovation of education with the developing of AI. So, the evolution of the research hotspots of KG is reviewed based on the literature of Web of Science in this study. We explore the development of intelligent education on different aspects, including educational KG, cognitive diagnosis and personalized education.
Authors: Zhang Yuliu (School of Information Science and Technology, Yunnan Normal University, Kunming YN 650500, China), Zhao Bo (School of Information Science and Technology, Yunnan Normal University, Kunming YN 650500, China),
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09:00 - 09:00
Dynamic Adjustment Mechanism of Intelligent Classroom Learning Resources in Universities Based on Network Teaching Platform

The resource adjustment mechanism currently used lacks reliable path selection process design steps, resulting in long adjustment time and low efficiency. Based on this, this paper puts forward a dynamic adjustment mechanism of university intelligent classroom learning resources based on the network teaching platform. According to the framework of network teaching platform, the function of network teaching resource platform is analyzed. Under the constraints of online learning resource capacity, this paper studies the dynamic adjustment principle of learning resources based on the network teaching platform. This paper uses genetic algorithm to solve the objective function, completes the time required to dispatch the subtask hall, designs a dynamic adjustment reliable path, and completes the dynamic adjustment of University intelligent classroom learning resources. The experimental results show that the braking dynamic adjustment effect of the machine is good.
Authors: Lei-lei JIANG, Rong XU (Anhui Radio and TV University), Hai-long LIU (computer and information engineering,Inner Mongolia chemical vocational college),
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09:00 - 09:00
Interactive Design and Application of 2-3.5-year-old Preschool Education IH5 Web Page based on Cloud

At present,Chinese society and families generally attach great importance to the comprehensive education of preschool children. However, through in-depth investigation and research, preschool education resources are unbalanced and scientific education knowledge propaganda is inadequate, which leads to the many misunderstandings and inappropriate educational methods in current China, especially in the stage of 2-3.5-year-old preschool education. In addition, China has rapidly entered the era of online education. IH5, as a design tool to support various mobile devices and mainstream browsers, has the characteristics of short time-consuming, information gathering and clear information transmission. Therefore, based on a thorough study of the physical and mental development characteristics of children aged 2 to 3.5 and thematic education methods, through a cloud-based IH5 page design with strong interaction, high cognition, easy operation and wide popularity, it integrates scientific and authoritative preschool education knowledge, practical and interesting interactive content and simple and easy operation interface. This paper aims to improve the lagging situation of the network propaganda and promotion of preschool education between 2 and 3.5 years old in China, at the same time, to provide targeted, accurate and valuable preschool education information for the public and families of preschool children, so as to meet the realistic needs of the market.
Authors: TIEJUN ZHU (Anhui Polytechnic University), Yue Zheng (Anhui Polytechnic University), Wenqing Ma (Anhui Polytechnic University),
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09:00 - 09:00
Study on Teaching of Engineering Design Course with 3D Modeling Software and 3D Printer in International Training Course

Engineering design is one of the most important major courses for students in in-ternational training course. The goal for them is mastering professional compre-hensive knowledge and applying it into the professional work projects. The con-tent of engineering design and the international requirements was introduced. In order to improve the shortcoming of traditional teaching, novel teaching integrat-ed with 3D modeling software and 3D printing technology was studied. For spe-cific designing task, 3D modeling could make it more convenient to calculate the parameters of the designing. 3D printing could get the designed products rapidly and directly to help students to measure the precisions of the products. It is help-ful to evaluate the designing scheme and to improve the quality of the products. The new teaching methods make it improved that the designing quality and effi-ciency. The comprehensive ability of students has been improved by combining 3D printing technology with the engineering designing work in the practice of the students.
Authors: Rui-can HAO (Beijing Polytechnic), Hua-gang LIU (Beijing Polytechnic), Shang WANG (Beijing Polytechnic),
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09:00 - 09:00
The information grading management system of college students based on deep learning

In view of the traditional student information management system can not maintain a certain system response speed under a large number of concurrent users, this paper designs a hierarchical management system of college student information based on deep learning. First of all, we use RFID technology to build the hardware module of student information collection, and design the software part of the management system. Then it constructs the structure of student information hierarchical management system, and determines the model of the system for student information hierarchical management. At last, we build the deep neural network model, and use the student information data set to train the neural network, realize the hierarchical management of university student information, and complete the design of the management system. By comparing with the traditional management system, it is proved that the management system based on deep learning can keep high response speed and superior system performance under a large number of concurrent users.
Authors: Tao JIANG (Changchun University of Technology College of Humanities and Information, Changchun 130122, China), Ye SONG (Changchun University of Technology College of Humanities and Information, Changchun 130122, China),
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Session 8 09:00 - 09:00

09:00 - 09:00
Analysis of the Conflict Model of Education and Culture in China and Britain Based on Deep Learning

In the process of the development of modern education, the conflict between Chinese and British education and culture is increasingly fierce. In order to carry out sufficient research and control of cultural conflict, this paper constructs a model of Sino-British educational cultural conflict. In the process of using the model, the problem of abnormal analysis results is often caused by improper selection of index range. Therefore, a model of Sino-British educational culture conflict based on deep learning is designed. Based on the analysis of educational differences between China and the UK, the index of the model is set up, and the deep learning algorithm is used to construct the model. So far, the design of Sino-British educational culture conflict model based on deep learning has been completed. Compared with the original model, this model has a wider index range. In summary, this model is better than the original model.
Authors: Xia Wang (School of Foreign Languages, Mianyang Teachers’ College,Mianyang 621000,China),
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09:00 - 09:00
Multi module integration method of students' habitual learning mode based on deep learning

In order to improve the ability of multi-module integration of students' habitual learning mode and increase the ability of model to deal with more complex situations, a multi-module integration method of students' habitual learning mode is proposed based on deep learning. In order to strengthen and integrate the students' habitual learning mode, construct the data sample processing system, and analyze the influencing factors and mechanisms of College Students' deep learning, on the basis of data analysis, firstly collect the system data, and construct a three-dimensional structure model of deep learning, and carry out confirmatory factor analysis to ensure the reliability and validity of the research structure. The latent variable is introduced to deal with multiple integrated data, so as to realize the research on the multi module integration method of students' habitual learning mode. The experimental results show that compared with the traditional multi module integration method, the multi module integration processing ability of this method is stronger.
Authors: Zhan-yong CHEN (International Business School of Beijing Foreign Studies University, Beijing 100089, China), Jun GUO (Quanzhou University of Information Engineering College of Software, Quanzhou 362000,China),
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09:00 - 09:00
Based on the big data program language learning website generation system

In order to improve the learning efficiency of students, a website generation system based on big data is proposed. Under the background of big data, the hardware design of the system is completed by using the overall architecture design of the learning website generation system and the design of the learning website generation server. Through the collection of program language learning website data, the design of program language learning website generation database and the design of program language learning website generation process, the software design of the system is completed and the generation of program language learning website is realized. The test results show that compared with the website generation system based on cloud computing, the students' learning efficiency is higher.
Authors: Quan-wei SHENG,
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09:00 - 09:00
Personalized recommendation technology of network teaching resources based on ant colony algorithm

In order to solve the problem of low recall rate in traditional network teaching resources personalized recommendation technology, an ant colony algorithm-based network teaching resources personalized recommendation technology was designed. Describe users' interest in network teaching resources, acquire users' interest in network teaching resources, and implement dynamic adjustment of users' interest in network teaching resources based on ant colony algorithm. Obtain the information that the user is interested in, that is, the personalized characteristics of the user, and then build the user model according to these characteristics, including the individual user model, the group user interest model and the comprehensive user interest model. The construction of personalized recommendation model of network teaching resources includes application layer, business logic layer and data layer. Through the construction of network teaching resources personalized recommendation model to achieve personalized recommendation of network teaching resources. In order to prove the high recall rate of the personalized recommendation technology of network teaching resources based on ant colony algorithm, the traditional personalized recommendation technology of network teaching resources was compared with this technology. The experimental results show that the recall rate of this technique is higher than that of the traditional personalized recommendation technique.
Authors: Hai-long LIU (computer and information engineering,Inner Mongolia chemical vocational college), Lei-lei JIANG,
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09:00 - 09:00
Research on 3D Printing and its Application in CAD Teaching

3D printing is a rapid prototyping technology in recent years. Computer aided de-sign (CAD) combining with 3D printing in university is helpful for students to understand the design work. The history and characteristics of 3D printing tech-nology were introduced. The technology and material used in 3D printer was summarized. The application of 3D printing technology in teaching was studied. Combining 3D printing technology and CAD design cases is helpful for students to understand the designed model directly and to master the three-view drawing of objects intuitively. Integrating 3D printing technology into mechanical design competition is an effective means to promote teaching effect. Apply 3D printing into CAD teaching could improve students' subjective initiative in learning, ex-pand students' innovative thinking, and improve teaching quality.
Authors: Rui-can HAO (Beijing Polytechnic), Hua-gang LIU (Beijing Polytechnic),
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Lunch Break (30 minutes) 09:00 - 09:00

Session 9 09:00 - 09:00

09:00 - 09:00
Research on the application of artificial intelligence technology in the quality evaluation of experiential physical education

In order to improve the teaching quality of experiential physical education, a new method of teaching quality evaluation is designed, and the quantitative analysis of quality evaluation is realized by using artificial intelligence technology. First determine the teaching quality evaluation standard. In the process of physical education teaching, we use artificial intelligence technology to collect motion data, and realize the recognition and analysis of motion data from two aspects of image and voice. The evaluation system of experiential physical education quality is constructed and the evaluation index is set under the system. The specific value of the evaluation index and the corresponding weight value are calculated respectively, the quantitative result of the comprehensive evaluation index is compared with the evaluation standard, and finally the evaluation result of the quality of physical education is obtained. Through the test and analysis of the applied experiment, it is found that the application of artificial intelligence technology to the teaching quality evaluation method can effectively improve the authority of the evaluation results and indirectly improve the teaching quality of college physical education.
Authors: Tian XIONG (Physical Education Department of Shaanxi University of Traditional Chinese Medicine, Xianyang 712046, China),
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09:00 - 09:00
Application of BIM in the Course of Subgrade Construction Technology

The subgrade construction technology course is a core course of the professional engineering of bridges and bridges in higher vocational colleges. Due to the high professional technical requirements, strong professional practice, wide coverage, and rich professional knowledge content, it has led to the teaching of existing classroom teaching methods The increased difficulty is not conducive to students' good understanding of three-dimensional structures and complex construction techniques, and it is difficult to combine teaching and learning closely. In order to better carry out the teaching of subgrade construction technology courses, combined with the application of BIM technology in the teaching of subgrade construction technology courses, according to the actual conditions of school teaching, using BIM technology and guiding students to create various bridge models, innovative teaching methods and methods, Improved students' interest in learning and enhanced their practical skills.
Authors: Man-li TIAN (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China), Jie WANG (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China), Ai-jun JIANG (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China), Wei-wei ZHU (School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing 402247, China),
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09:00 - 09:00
The Integrated Design of ‘Industry-university-research-application-cultivation’ Based on the Course of "Mechanical Design Foundation" in Higher Vocational Colleges

Mechanical design foundation is a key major course for students in major of me-chanical design. The integrated design reform of industry-university-research-application-cultivation was studied and the corresponding reform measures have been implemented, which includes breaking the discipline framework and design the knowledge ability content with the project as the carrier, building a multi-level and three-dimensional course module system for social needs, breaking through the time and space of classroom, and create a MOOC resource library, construct-ing the intelligent interconnection between teachers, students and teaching re-sources by means of information, keeping pace with the development of the times and integrate multi-standard, reforming the teaching mode and exploring the form of promoting learning, promote innovation and entrepreneurship education and building a platform for innovative design and product promotion. The reform is meaningful and feasible for higher vocational colleges to build an ‘industry-university-research-application-cultivation’ learning environment.
Authors: Qing-song Zhu (Beijing Polytechnic), HAO Rui can (Beijing Polytechnic),
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09:00 - 09:00
Empirical Research on the Design Talents Cultivation of Sino-foreign Cooperative Education Project in Local Engineering Universities

At present, China's higher education has stepped into a deepening stage of international development. As the main force to provide high-quality international applied talents for serving the local economic construction, it is the trend for local engineering universities to set up and implement Sino-foreign cooperative education projects that meet their school running positioning and professional characteristics. Taking the undergraduate education project of visual communication design jointly held by Anhui Polytechnic University and Bridgeport University as an example, this paper analyzes the experience, practice, existing problems and countermeasures of the project in the training mode of international applied innovative talents in design, and summarizes the current talents cultivation achievements of the project. It provides beneficial exploration and concrete practice for the talents cultivation of design Sino-foreign cooperative education projects in local engineering universities.
Authors: TIEJUN ZHU (Anhui Polytechnic University), Yuan Li (Anhui Polytechnic University),
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09:00 - 09:00
Research on Educational Data Mining Based on Big Data

Educational data mining (EDM) is a cross-disciplinary technology involving computer science, education, statistics, etc. It analyzes and mines education-related data to discover and solve various types of education problems. To make them better understand students and their learning environment and improve the teaching effect of teachers. Under the background of big data, EDM research will usher in a new development space. This paper first analyzes the latest research status of EDM at home and abroad, and then focuses on the progress of EDM in the context of big data in recent years. It summarizes the characteristics, shortcomings and development trends of EDM in the context of big data. Finally, it discusses the opportunities and challenges faced by EDM in the era of big data.
Authors: Xuping He (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Wensheng Tang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Jia Liu (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Bo Yang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China), Shengchun Wang (College of Information Science and Engineering, Hunan Normal University, Changsha 410081, Hunan, People’s Republic of China),
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09:00 - 09:00
Research on the Application of Blockchain Technology in Intangible Cultural Heritage Creative Design and Teaching

Cultural and creative design is one of the powerful ways to innovate cultural development and cultural and economic prosperity. The progress of the times and the change of design trend also affect the innovation of cultural and creative design and teaching. However, at present, the Intangible cultural heritage and creative design and education in Anhui Province are also facing the old teaching mode and the disconnection of the times, the education centralism hindering the cultural and creative design to be popular, lifelong and design teaching management. The system cannot meet the problems of cross regional learning and certification, so new technology is needed to change these disadvantages. Blockchain has the technical characteristics of information tamper ability, decentralization and distribution, privacy and supervision, smart contract, etc., which can effectively optimize and solve the problems in the design and teaching of Intangible cultural heritage cultural innovation in Anhui Province. This paper discusses the management of learning resources, tracking learning process, evaluation of learning results, shaping learning path, management and examination in the design and teaching of Intangible cultural heritage cultural innovation by blockchain technology.
Authors: Jun Liu (Anhui Polytechnic University), TIEJUN ZHU (Anhui Polytechnic University),
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Session 10 09:00 - 09:00

09:00 - 09:00
Game model of regional education and economic development based on association rule mining algorithm

Aiming at the problem that the game model studies the relationship between regional education and economic development, it will lead to a certain contradiction, which will lead to a long time to obtain game analysis results. This paper proposes a regional education and economic development game based on association rule mining algorithm. model. Collect and process data on regional education and economic development; define the subject of regional education and economic development; use Apriori algorithm to implement association rule mining on the relationship between the two, and realize the game of the relationship between regional education and economic development through the coupling degree function, and thus complete mining based on association rules Algorithmic regional education and economic development game model building. Through comparative experiments, it can be concluded that the proposed game model can more quickly obtain the results of game analysis, and through the analysis of coupled and coordinated development, we can come up with suggestions for coordinated development of higher education and regional economy.
Authors: Shan WANG (School of Engineering and Management, Pingxiang University, Pingxiang 337000, China),
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09:00 - 09:00
Curriculum Quality System Model of Entrepreneurship and Innovation Education in Vocational Colleges across the Straits Based on Internet +

In order to improve the quality of entrepreneurship and innovation education in vocational colleges, an internet + -based model for the quality system of entrepreneurship and innovation education in cross-strait vocational colleges is proposed. To review the literature on entrepreneurship and innovation education courses, curriculum evaluation, and quality evaluation of entrepreneurship and innovation education courses, and to study the elements of entrepreneurship and innovation education course quality evaluation to extract influencing factors of education quality; combined with network analytic hierarchy process (ANP) Super Decision software calculates the weight coefficient of the quality evaluation index system for education courses. Develop and distribute questionnaires for the evaluation of course quality, collect relevant empirical data, and verify the scientificity of the questionnaire through reliability and validity tests. Based on the scoring results and the weight coefficient of the evaluation index system, the key factors affecting the quality of entrepreneurial innovation education courses are derived. Based on the survey data, descriptive statistics, analysis of variance, and Pearson's correlation coefficient method were used to verify the research hypothesis and valuable empirical results were obtained.
Authors: Jun GUO (Quanzhou University of Information Engineering College of Software Quanzhou 362000, China), Zhan-yong CHEN (International Business School of Beijing Foreign Studies University, Beijing 100089, China),
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09:00 - 09:00
Innovation and entrepreneurship education system of new engineering talents based on knowledge base

Due to the poor performance of the traditional innovation and entrepreneurship education system for new engineering talents, the online examination system for innovation and entrepreneurship education and training for new engineering talents is optimized based on the knowledge base. Microsoft asp.net is used as the development tool and SQL server is selected As the database platform of the system, 2005 designed and implemented an intelligent test paper online examination system, and discussed the design and implementation process of typical modules. Furthermore, the traditional genetic algorithm is improved, and the mutation operator and hybrid operator in the genetic algorithm are optimized. Finally, the black box test method is used to test the performance of the system, and the effectiveness of the application of the system is verified.
Authors: Yan WANG (School of Information and Control,Shenyang institute of technology), Fang SONH (Shanghai Kuanrui Information Technology Co., Ltd), Hai-hong BIAN (Nanjing Institute of Technology, Nanjing 210000, China),
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09:00 - 09:00
Effectiveness Evaluation of Network Security Knowledge Training Based on Machine Learning

Due to the problem of inaccurate evaluation results of traditional methods for evaluating the effectiveness of network security knowledge training, a method for evaluating the effectiveness of network security knowledge training based on machine learning is designed. First, establish an evaluation index for the effectiveness of cybersecurity knowledge training, and then develop an evaluation standard for the effectiveness of cybersecurity knowledge training. The standard performance status is the teaching effect that employees should achieve after training. Finally, calculate the weight of each indicator to complete the evaluation of the effectiveness of cybersecurity knowledge training. The experimental comparison results show that the effectiveness evaluation method of network security knowledge training based on machine learning designed this time is more accurate than traditional methods, and has practical significance.
Authors: Quan-wei SHENG,
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09:00 - 09:00
Encryption and compression storage method of educational resources based on complex network and big data analysis

In order to improve the information retrieval and mining capability of educational resources, encryption, compression and storage processing are required. An encryption, compression and storage model of educational resources based on complex network and big data analysis is proposed. A dynamic characteristic information collection and information fuzzy clustering model of educational resource information is constructed, educational resource information sampling is carried out by adopting a wireless sensing matrix of a complex network, metadata structure characteristics of the educational resource information are extracted, a multi-dimensional characteristic space structure distributed fusion method is adopted, educational resource encryption compression and adaptive allocation of information coding are carried out, random coding keys and decoding keys of the educational resource information are extracted, random linear coding technology is adopted to realize encryption, compression and storage of the educational resource information, and dynamic compression capability of the educational resource data is improved. The simulation results show that this method has better feature compression capability and higher precision of encrypted transmission of educational resources information, and improves the precision and recall of educational resources information.
Authors: Ji-shun MA (Pharmaceutical Engineering, Zhejiang university of Chinese Medicine, Zhuji 311800, China), Bin ZHAO (Department of electronic science and technology, Huazhong University of Science and Technology, Zhuji 311800,China), Hao ZHANG (School of Economics, Zhejiang university, Zhoushan 316000, China),
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Coffee Break (20 mintues) 09:00 - 09:00

Session 11 09:00 - 09:00

09:00 - 09:00
Research on the finite element analysis of the sealing property of the piston used in automobile Teaching

In recent years, the continuous development of the national economy has promoted the popularity of automobiles. In the course of automobile teaching, the tightness of the internal combustion engine and its piston in the teaching vehicle is an important factor determining the safety performance of the vehicle. The traditional method for analyzing the tightness of pistons for teaching often causes corresponding adverse effects due to the poor accuracy of the results. Therefore, this study designs a finite element analysis method for the sealing of pistons for automotive teaching. First analyze the shape and material characteristics of the piston for automotive teaching, and then build a finite element model of the piston for automotive teaching to complete the processing of piston stress load. Based on this, the research on piston sealing performance is realized according to the coupling analysis process. The experimental results show that this method is superior to traditional methods in analyzing the sealing performance of pistons for automotive teaching, which fully proves the effectiveness of the method.
Authors: hai-liang LIU (Weifang Engineering Vocational College, Qingzhou 262500, China), Da-wei DING (Weifang Engineering Vocational College, Qingzhou 262500, China), Xin HUAN (Weifang Engineering Vocational College, Qingzhou 262500, China), Fang-yan YANG (College of Sports and Health, Changsha Medical University, Changsha 410219, China),
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09:00 - 09:00
Semantic Retrieval Method of UK Education Resource Metadata in Hierarchical Cloud P2P Network

The recall rate of traditional UK education resources metadata retrieval method is low, so a semantic retrieval method of UK education resources metadata based on hierarchical cloud peer-to-peer network is designed. On this basis, the semantic relevance degree of metadata of education resources in the UK is calculated, and finally the semantic retrieval of metadata of education resources in the UK is realized. Experimental results show that the semantic retrieval method based on hierarchical cloud peer-to-peer network has higher recall rate than the traditional method, and has practical significance.
Authors: Xia Wang (School of Foreign Languages, Mianyang Teachers’ College,Mianyang 621000, China), MIng-Jun LI (School of Foreign Languages, Mianyang Teachers’ College,Mianyang 621000, China),
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09:00 - 09:00
Research on the Optimization of the Allocation of Educational Resources in Modern History Based on Demand Features

in the past optimization methods of modern history education resource allocation, there is a problem of large financial cost consumption. Therefore, the optimization method of modern history education resource allocation based on demand characteristics is proposed. Based on the analysis of the actual needs of different users for educational resources of modern history and the characteristics of educational resources they need, this paper constructs the allocation model of educational resources of modern history, optimizes each link of the model in the process of construction, optimizes the operation mechanism of educational resources allocation at the same time, implements the allocation model of educational resources in the optimized operation mechanism, and achieves the reasonable allocation of educational resources The purpose of the source. The experimental results show that: compared with the traditional optimization method, the designed optimization method based on the demand characteristics of modern history education resource allocation consumes less financial cost, which is suitable for practical projects.
Authors: honggang wang, Jing XIA (The Research Institute of Informatization and Industrialization Integration,China Academy of Information and Communications Technology),
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09:00 - 09:00
The construction of the remote interactive platform of the practical training teaching in the employment domain of colleges and universities under the 1 + X certificate system

In view of the problems of poor interaction and non-reservation in the existing college employment training teaching platform, which leads to the decline of students' interest in learning, therefore, under the influence of the 1 + X certificate system, a new college employment work domain training teaching remote interaction platform is constructed. The platform takes the 1 + X certificate system as the goal, establishes the appointment mechanism of training teaching, designs the long-distance interactive mode of training teaching platform by setting the way of video and audio playing in the platform, and realizes the construction of the long-distance interactive platform of training teaching in the field of employment in colleges and universities. The experimental results show that the long-distance interactive platform for training teaching is highly interactive. Students can improve the performance of training teaching through using the platform, and the application effect is better.
Authors: Hai-jing ZHOU, Shou-liang HE (Chongqing Vocational Institute of Tourism),
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09:00 - 09:00
Design of Network Security Defense Knowledge Training Management Platform under Cloud Media

With the continuous progress of Internet technology, more and more people are getting information through the network, so the number of cloud media is increasing, which brings great hidden danger to the network security. However, the traditional training management platform is difficult to deal with massive data, which leads to the imbalance of defense knowledge system in the platform and the instability of platform feedback. Therefore, a new network security defense knowledge training management platform is designed. By setting the balance constraint index, optimize the load balance layout of the training management platform; build the service framework of the training management platform, obtain the training user clustering results; set up training courses, realize the design of the network security defense knowledge training management platform. The test results show that compared with the traditional design platform, the stability of the designed platform is higher under the condition of massive network security defense knowledge. It can be seen that the designed platform is more in line with the basic requirements of network security defense.
Authors: Ji-yin ZHOU (Chongqing Vocational College of Transportation), Chun-rong ZHOU (Chongqing Vocational College of Transportation,Chongqing),
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09:00 - 09:00
Teaching quality evaluation method based on multilayer feedforward neural network

In order to promote the development of education, multi-layer feedforward neural network is applied to the teaching quality evaluation process, and a new evaluation method is proposed. The evaluation model based on multilayer feedforward neural network is established. The experiment data is used to compare the results of the experimental group and the control group. The results show that the application of multilayer feedforward neural network to the evaluation of teaching quality can reduce the error between the target output and the actual output, and make the quality evaluation result more in line with the actual situation.
Authors: Ye SONG (Changchun University of Technology College of Humanities and Information, Changchun 130122,China), Tao JIANG (Changchun University of Technology College of Humanities and Information, Changchun 130122,China),
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Closing session 09:00 - 09:00

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