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2020 | Book

e-Learning, e-Education, and Online Training

6th EAI International Conference, eLEOT 2020, Changsha, China, June 20-21, 2020, Proceedings, Part II

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About this book

This 2-volume set constitutes the proceedings of the 6th International Conference on e-Learning, e-Education, and Online Training, eLEOT 2020, held in Changsha, China, in June 2020. The conference was held virtually due to the COVID-19 pandemic.

The 68 full papers presented were carefully reviewed and selected from 141 submissions. They focus on most recent and innovative trends and new technologies in for educational modernization, such as artificial intelligence and big data. The theme of eLEOT 2020 was “Education with New Generation Information Technology”.

Table of Contents

Frontmatter
Correction to: Design of Data-Driven Visualization Teaching System for Preschool Basketball Courses
Yun-fei Qin, Lu-zhen Mo, Can Chen

New Generation Information Technology in Education

Frontmatter
Application of BIM in the Course of Subgrade Construction Technology
Abstract
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.
Man-li Tian, Jie Wang, Ai-jun Jiang, Wei-wei Zhu
On the Evolution of Knowledge Graph Abroad and Its Application in Intelligent Education
Abstract
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.
Yuliu Zhang, Bo Zhao
Effectiveness Evaluation of Network Security Knowledge Training Based on Machine Learning
Abstract
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.
Quan-wei Sheng
Based on the Big Data Program Language Learning Website Generation System
Abstract
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.
Quanwei Sheng
Evaluation Model of Aquaculture Robot Technology Research Project Based on Machine Learning
Abstract
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. In order to verify the effect of the design model in this article, design a comparison experiment, evaluate the design model and the original model on a project. It can be seen through comparative experiments, it is known from experimental comparison that this model is better than the original model.
Peng Cheng
Research on the Application of Artificial Intelligence Technology in the Quality Evaluation of Experiential Physical Education
Abstract
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.
Tian Xiong
Encryption and Compression Storage Method of Educational Resources Based on Complex Network and Big Data Analysis
Abstract
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.
Ji-shun Ma, Bin Zhao, Hao Zhang
High-Quality Extraction Method of Education Resources Based on Block Chain Trusted Big Data
Abstract
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.
Hao Zhang, Bin Zhao, Ji-shun Ma
Application of Open-Source Software in Knowledge Graph Construction
Abstract
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.
Qianqian Cao, Bo Zhao
Design of Network Security Defense Knowledge Training Management Platform Under Cloud Media
Abstract
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.
Ji-yin Zhou, Chun-rong Zhou
Design of Computer-Aided Course Teaching Control System Based on Supervised Learning Algorithm
Abstract
With the development and maturity of computer and multimedia technology, computer-aided instruction represents advanced teaching ideas and methods. Based on this, the design of computer-aided course teaching control system based on supervised learning algorithm is proposed. The hardware composition and software design of the system design are introduced. Through the main modules: login and registration module, learning mode selection module, learning content selection module, test module operation. Relying on the constraints of multiple identities in the teaching process by the logical structure of the database, the teaching management platform can control and supervise student learning. In order to better test the effectiveness of the system designed in this paper, a comparative experiment of system control learning and free learning is performed. The results prove that compared with free learning, the learning of computer-assisted curriculum teaching control system can better urge students to learn, and the learning effect is better. The teaching control system is superior to the traditional teaching system in improving students ‘interest and motivating students’ learning enthusiasm.
Chun-rong Zhou, Ji-yin Zhou
Research on the Finite Element Analysis of the Sealing Property of the Piston Used in Automobile Teaching
Abstract
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 the accuracy of the method is better than that of the traditional method, and the analysis process is less time-consuming, which fully proves the effectiveness of the method.
Hai-liang Liu, Da-wei Ding, Xin Huan, Fang-yan Yang
Research on Multi-agent Robot Behavior Learning Based on Fuzzy Neural Network
Abstract
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.
Jun-ru Wang
Game Model of Regional Education and Economic Development Based on Association Rule Mining Algorithm
Abstract
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.
Shan Wang
Automatic Detection of Image Features in Basketball Shooting Teaching Based on Artificial Intelligence
Abstract
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 17.5 mm, so as to fully expose the necessary features of the shooting action teaching image.
Sha Yu, Jing Liu
Design of Higher Education Aided Teaching System Based on Analysis of Economic Coupling Coordination Degree
Abstract
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. The system can be applied to higher education auxiliary teaching tasks.
Shan Wang
Research on the Optimization of the Allocation of Educational Resources in Modern History Based on Demand Features
Abstract
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.
Hong-Gang Wang, Jing Xia
Design of Learning Feedback System of Sports Training Based on Big Data Analysis
Abstract
Due to the poor stability of the traditional sports training learning feedback system, it can not improve the efficiency of students’ sports training learning, thus reducing the learning interest of students. Therefore, a sports training learning feedback system based on big data analysis is proposed and designed. Through the positive feedback mechanism and the negative feedback mechanism, the study feedback mechanism of sports training is analyzed. Under the big data analysis, the study feedback mechanism of sports training is used. According to the function structure of the system, the study feedback system of sports training is designed, including the system login module, the data management module and the study feedback module. The experimental results show that the application of the designed learning feedback system based on big data analysis improves the efficiency of the conventional teaching by 34%, the learning interest of students by 39%, the satisfaction of students’ learning feedback, and the stability and retrieval rate of the system.
Lei Chen, Fei Gao, Gewei Zhuang
Design of Electrical Remote Control Teaching System Based on Intelligent Ubiquitous Learning Network Model
Abstract
The traditional teaching system of electric remote control remote control teaching problem of low precision and intelligence in ubiquitous learning network model is put forward for this electric remote control teaching system design, system framework design based on electric remote control teaching, collection and detection module design, sound identification of hardware design, automatic tracking sensor design, speech recognition software design, software design, realized the electric remote control the design of the teaching system, experimental data show that the proposed intelligent ubiquitous learning under the network model of teaching system design, electric remote control remote control teaching with high precision.
Zhuang Gewei
Research on the Integrated Mode of Ideological and Political Education in Colleges and Universities Based on Multivariate Data Analysis
Abstract
At present, ideological and political education is highly valued by the state. In order to improve the level of ideological and political education in universities and accelerate the popularization of ideological and political education, an integrated model of ideological and political education in universities based on multivariate data analysis is proposed. Taking the development of ideological and political education as the basic goal, while analysing the inevitable requirements of the integration model, the main classification criteria of the ideological and political education research objects are clarified, and the research on the education integration model is completed. College education. On this basis, the principle of integration processing is proposed, and various data attributes of ideological and political education in colleges and universities are defined. Then, combined with the mapping conditions under the integration mode, a comprehensive environment of ideological and political education based on multivariate data analysis is established. With the aim of grafting the ideological and political education model, we explore the development methods of ideological and political education in colleges and universities, determine the implementation law of ideological and political education for continuous and harmonious development, and propose constructive methods to develop the integrated model of ideological and political education in colleges and universities.
Zhu-zhu Li, Ming-jun Cen
Simulation Training Remote Control System of Industrial Robot Based on Deep Learning
Abstract
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 s response time in the control process.
Dan Zhao, Ming Fei Qu
Knowledge Training System of Urban Pest Control Based on Big Data Analysis
Abstract
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, 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.
Xin Zhang, Ming-fei Qu
Research on Educational Data Mining Based on Big Data
Abstract
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.
Xuping He, Wensheng Tang, Jia Liu, Bo Yang, Shengchun Wang
Research on DINA Model in Online Education
Abstract
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.
Jia Liu, Wensheng Tang, Xuping He, Bo Yang, Shengchun Wang
Design of Data-Driven Visualization Teaching System for Preschool Basketball Courses
Abstract
Some studies have shown that basketball can promote the development of young children’s nervous system, exercise their physical coordination ability, allow young children to have a team awareness, increase young children’s social time, and establish social relationships. However, there is a problem of high system resource consumption level in the traditional visualized teaching system for infant basketball courses. Therefore, a data-driven visualized teaching system design for infant basketball courses is proposed. The hardware part adopts the intelligent display terminal DMT80480507OSW to realize human-computer interaction, which allows children to increase learning interest through human-computer interaction. The software part uses data compression algorithms to compress basketball course resource data. After testing, the feasibility of the design system was proved to provide richer teaching resources for children’s basketball courses.
Yun-fei Qin, Lu-zhen Mo, Can Chen
Design of Distance Multimedia Physical Education Teaching Platform Based on Artificial Intelligence Technology
Abstract
The traditional neural network-based education platform has the problem of slow access to resources, which affects teaching efficiency. To this end, artificial intelligence technology is introduced for the design of distance multimedia sports teaching platforms. Through system hardware and software design, enhance the integration capability of the teaching platform, improve the controllability of the teaching platform, help the physical education platform to obtain more educational resources, accelerate the processing and integration analysis of educational information, and better assist teachers in developing physical education jobs. In order to verify the effectiveness of the method in this paper, the method in this paper is compared with the teaching platform based on neural network,the experimental results show that the platform can obtain resources quickly and has broad application prospects.
Lu-zhen Mo, Yun-fei Qin, Zhu-zhu Li
Research on 3D Printing and Its Application in CAD Teaching
Abstract
3D printing is a rapid prototyping technology in recent years. Computer aided design (CAD) combining with 3D printing in university is helpful for students to understand the design work. The history and characteristics of 3D printing technology 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, expand students’ innovative thinking, and improve teaching quality.
Rui-can Hao, Hua-gang Liu
Research on the Application of Blockchain Technology in Intangible Cultural Heritage Creative Design and Teaching
Abstract
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 can not 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 In the application of nuclear teaching, we found that there are still some shortcomings after the application of technology, such as the complexity of operation technology and the easy disclosure of information, the problem of artificial filling and compatibility of information, and the optimization of related technology. I believe that with the continuous upgrading of technology, blockchain technology can be better applied in the field of cultural and creative design and teaching.
Liu Jun, Zhu Tiejun
Semantic Retrieval Method of UK Education Resource Metadata in Hierarchical Cloud P2P Network
Abstract
The traditional semantic retrieval method of British educational resource metadata has a low recall rate. Therefore, a semantic retrieval method of British educational resource metadata under a layered cloud peer-to-peer network is proposed. Preprocess the British education resource metadata and query and expand the semantics of the British education resource metadata. On this basis, the semantic correlation of the British education resource metadata is calculated to achieve the semantic retrieval of the British education resource metadata under the layered cloud peer-to-peer network. The experiment proves that the semantic retrieval method of the metadata of British education resources under the layered cloud peer-to-peer network designed this time has a higher recall rate than the traditional method and has practical application significance.
Xia Wang, Ming-Jun Li
Backmatter
Metadata
Title
e-Learning, e-Education, and Online Training
Editors
Shuai Liu
Guanglu Sun
Weina Fu
Copyright Year
2020
Electronic ISBN
978-3-030-63955-6
Print ISBN
978-3-030-63954-9
DOI
https://doi.org/10.1007/978-3-030-63955-6

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