e-Learning, e-Education, and Online Training

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. This paper taking the undergraduate education project of visual communication design jointly held by Anhui Polytechnic University and Bridgeport University as an example, this paper analyzes in detail the framework, operation management, curriculum system and practice platform of international design application-oriented innovative talents cultivation mode, and points out the existing problems, and puts forward countermeasures and solutions. Through empirical research, it provides useful exploration and reference for the talents cultivation of design Sino-foreign cooperative education projects in Local Engineering Colleges.

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 evaluation model of project cost case teaching effect is established, the evaluation matrix is constructed, the weight vector is calculated, and the construction of the evaluation model of project cost case teaching effect is realized through consistency test. 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.

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 the system test experiment, it is found that the average throughput of the system is high under the condition of ensuring the running function of the examination system.

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.

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 shows that the reliability of the proposed model is 15.73% higher than that of the conventional model, and the evaluation accuracy is higher.

In the current information age, multimedia courseware has become the mainstream teaching method in Colleges and universities. Whether the application of teaching means is reasonable directly affects the teaching cost and teaching effect of the school. Based on this, this paper puts forward the evaluation method of multimedia art teaching courseware playing effect based on DEA. Firstly, the vector of evaluation subject, evaluation index and its index weight is determined, and a reasonable and scientific evaluation index system of multimedia courseware is constructed. Under this guidance, the comprehensive judgment grade and ranking are completed. The experiment shows that the evaluation method proposed in this paper has higher effectiveness compared with the traditional evaluation method. It can obtain more real and reliable data in the effect of playing courseware and the use experience of teachers and students, and improve the evaluation accuracy of playing effect of multimedia art teaching courseware.

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.

At present, the learning module of online courses for engineering machinery majors is chaotic and data storage is not timely, which leads to the defect of low knowledge conversion rate in online courses. Aiming at this problem, a new network course system for engineering machinery specialty based on cloud class is designed. Based on modular curriculum structure, level of course phase steps and coordinated network curriculum development process design process, and on this basis, from the perspective of learners, design a cloud platform network curriculum content, making learning modules, design of the real-time database storage system, strengthen network curriculum knowledge conversion, finally realizes the operation of the network curriculum system, major in engineering or mechanism. The experimental results show that: compared with the traditional three kinds of network course system for engineering machinery, the network course system for engineering machinery designed in this paper has greatly improved the knowledge conversion rate, which fully shows that the network course system for engineering machinery has better application performance.

Under the Internet environment, higher vocational students will face more opportunities and challenges, and the Internet as a big platform will bring more information resources integration and funding sources, which is an important feature of the Internet environment to the era of innovation and entrepreneurship, especially the government policy support and social environment to encourage entrepreneurship and innovation to provide more help for higher vocational college students’ innovation and entrepreneurship. Innovation and entrepreneurship education is an important direction of China’s vocational education reform and development. This paper expounds the influence of Internet on innovation and entrepreneurship education, probes into the problems existing in the current innovation and entrepreneurship education mode, and advances some reform ideas and ways. Based on the practice of innovation and entrepreneurship education mode reform in a vocational and technical college, this paper introduces the curriculum system of innovation and entrepreneurship education, the cooperation of innovation and entrepreneurship training and the innovation and entrepreneurship competition of students, and puts forward some suggestions on further improving the quality of talent training in innovation and entrepreneurship education.

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.

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.

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.

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.

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 shows that the students’ performance of the traditional micro class teaching mode based on hybrid learning is higher than that of the traditional teaching mode, which improves the students’ satisfaction and has practical application significance.

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. By describing the user’s online teaching resource interest, the user’s online teaching resource interest is acquired, and the ant colony algorithm is used to dynamically adjust the user’s online teaching resource interest to obtain information that the user is interested in, that is, the user’s personalized characteristics, and to generate a synthesis User interest models, including individual user models, group user interest models, and integrated user interest models, build a personalized recommendation model for online teaching resources, including the application layer, business logic layer, and data layer, to achieve personalized recommendation for online 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.

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.

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.

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.

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.

At present, there are some problems in online physical education micro course system, such as the teaching effect is not ideal and students’ performance is low, so it is necessary to design a new online physical education micro course system based on improved machine learning. The hardware of the system consists of three interactive modules: information display unit, information processing unit and terminal interactive unit. The system software is composed of system user module, course management module, independent learning module, database module and online examination module. In the database module, six groups of information parameters, such as administrator information, course information and announcement information, are set. Using the improved machine learning method to design the online examination module. Through the combination of hardware and software, the online physical education micro course system is designed. The comparative experiment shows that the teaching effect of the system is better than that of the traditional system, and the sports performance is improved significantly.

With the wide application of the Internet plus in the teaching field, the traditional classroom teaching mode is facing severe challenges. The traditional mode restrains students’ interest in learning, limits the development of their ability of exploration and innovation, and the MOOC teaching mode with online learning as the core has its inherent defects in the process of teaching implementation, which can not completely replace classroom teaching. Therefore, based on the advantages of traditional classroom teaching and MOOC teaching, combined with a supervised learning algorithm, an online and offline collaborative teaching mode based on supervised learning algorithm is designed. The mode design is divided into four steps: MOOC platform analysis, supervised learning algorithm selection, online and offline collaborative teaching mode design, online and offline collaborative teaching mode implementation. The results show that after the implementation of the online and offline collaborative teaching scheme based on the supervised learning algorithm, the effect is better than before, which proves that the collaborative teaching mode is effective.

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.

With the rapid development of the Internet in the information age, entrepreneurship and innovation education courses have had a huge impact on the traditional teaching model of higher education. 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. In addition, the method of this paper is compared with the traditional method to prove the effectiveness of the model of curriculum quality system designed this time.

In order to solve the problems of fixed teaching mode and limited learning content, this paper puts forward the design method of general integrated teaching system for split class oriented to operational research. In order to improve the operation effect of the system and improve the hardware configuration of the system reasonably, the 64 MB video card of VRAM and AMD Athlon processor are selected to provide the hardware operation effect of the system, further optimize the software operation process of the integrated teaching system, and finally realize the reasonable design of the system. Finally, the experimental results show that the detection curve of the proposed system is higher than that of the comparison method, and it is maintained above 89%, which is more practical than the traditional teaching system.

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.

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.

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.

The traditional student professional development trajectory planning method has low accuracy in student behavior prediction. To this end, a method for student professional development trajectory planning based on big data prediction is designed. Mining students’ professional behavior information, cleaning and transforming the data, and establishing student behavior description indicators. Based on this, the student behavior indicators are subdivided, and student professional development trajectory planning is planned based on the predicted student behavior. Experiments have proved that the design of the professional development trajectory planning method based on big data prediction is more accurate than traditional methods for student behavior prediction, and it can meet the needs of student professional development trajectory planning.

Due to the influence of traditional concepts, the fierce competition in a large population, the rapid development of China’s economy, the increasing improvement of people’s living standards and the one-child policy for more than 30 years, 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.

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.

Engineering design is one of the most important major courses for students in international training course. The goal for them is mastering professional comprehensive knowledge and applying it into the professional work projects. The content of engineering design and the international requirements was introduced. In order to improve the shortcoming of traditional teaching, novel teaching integrated with 3D modeling software and 3D printing technology was studied. For specific 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 helpful 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 efficiency. The comprehensive ability of students has been improved by combining 3D printing technology with the engineering designing work in the practice of the students.

Mechanical design foundation is a key major course for students in major of mechanical 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, constructing the intelligent interconnection between teachers, students and teaching resources 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.

Intercultural communicative competence (ICC) is the ultimate goal of teaching and learning of English as a foreign language (EFL). Content-based English Instruction (CBEI) refers to the teaching of the content or materials of a field in English, enabling students to acquire English while learning specialized knowledge. This study tries to investigate the cultivation of ICC among Master’s graduate students (MGS) in a cultural content-based English course. A questionnaire was distributed to 300 MGS for the survey before and after the CBEI course was conducted. And the results do reveal that CBEI course can increase students ICC in five dimensions, namely, language competence, intercultural knowledge, intercultural attitude, intercultural awareness and intercultural strategy. Classroom observation on the process of teaching was conducted to find out the way it improves the ICC of MGS.