Research on online teaching platform system based on microservice architecture

The traditional online teaching adopts the single architecture to develop and implement the system, which facilitates the data sharing and testing of the system. However, due to the increasing complexity of the system's business functions, the system based on monolithic architecture has become increasingly complex, its scalability has deteriorated, and its concurrency performance has decreased. Based on these problems, this paper puts forward combining microservice architecture and online teaching platform, using microservice architecture independent deployment, concurrent performance characteristics such as high technology selection and flexible, the complex business function is divided into several small service module, solve the challenges faced by the traditional system, at the same time improve the efficiency of the use of online teaching platform and students' learning autonomy, The system function design, architecture design, safety design and so on are expounded to build an efficient and perfect online teaching platform.

Application of blended teaching in public elective courses of design class

The development of education informatization has brought opportunities for teaching reform in colleges and universities, but there are still some shortcomings when applied to public elective courses (PEC). The Blended Teaching mode that combines the advantages of MOOC and SPOC teaching provides a new exploration for improving the teaching effect of public elective courses. This article relies on the “Everybody Loves Design” MOOC national boutique online open course of Chinese universities, and applies the Blended Teaching model to the teaching of “Industrial Design History” course, a PEC in Z colleges and universities. A teaching model including the selection of course teaching platform and teaching resources, teaching implementation, teaching effect evaluation, teaching reflection, etc was constructed. The results show that this model has a positive effect on improving students’ learning interest, learning autonomy and learning effect.

Application of Virtualization for Process Control Experiments

The virtualization of the Festo process control teaching platform and the implementation process of extending it with real industry applications are introduced. Taking the heating process of the water tank as an example, the model extraction method of the real object is analyzed in detail, and the model identification problem of the low-order linear control object is solved. Through the introduction of the creation process of the object model on the virtual platform, a feasible way is pointed out for similar applications. On this basis, it is proposed to integrate the teaching platform with the specific industrial industry in the virtualized environment, broaden the breadth of process control teaching, and point out new ideas for building a teaching profession with industry support.

Research on Hybrid Teaching in the Experimental Teaching of Principles of Computer Composition

Aiming at the issue of professional engineering certification, this article introduces the hybrid teaching method to the teaching of Principles of Computer Composition, as the core course of computer specialty in applied undergraduate colleges, as well as discusses the experimental teaching method of this course. The teaching scheme is designed in the aspects of experimental teaching platform, teaching content, and student achievement assessment. By making full use of online and offline resources, this teaching method realizes the diversification of learning materials and learning means, the three-dimensional learning space and learning time, as well as effectively improves the teaching effect and quality.

Design of diversified teaching platform of college aerobics course based on artificial intelligence

In order to improve the diversified teaching effect of a college aerobics course, effectively improve the accuracy of student grouping on the teaching platform, a diversified teaching platform of college aerobics course based on artificial intelligence is designed. First of all, it puts forward the construction idea and design process of the network teaching platform, then designs the interface and function module of the teaching platform, and finally designs the grouping function of teaching objects, so as to complete the design of the diversified teaching platform of a college aerobics course based on artificial intelligence. The experimental results show that the grouping accuracy of students on the diversified teaching platform of college aerobics course based on artificial intelligence is greater than 75%, and the average score of students studying on the platform is 74.66. This explains why the designed platform can effectively provide the accuracy of grouping and the students’ performance.

Development and Application of Virtual Simulation Teaching Platform for the Transcritical CO2 Two-Stage Compression Refrigeration System Based on LabVIEW

Based on the principle of transcritical CO2 two-stage compression refrigeration system, a virtual simulation teaching platform was developed. Two operation modes can be selected which are practice mode and test mode. According to questions and tips about experiments, students can do simulation experiments by open required valves, running the refrigeration system, adjusting pressure control valves and so on. When these operations are completed, students can save the file of the simulation experiment and exit the system. Then, test marks of students can be exported to Excel for teachers to view. In addition, some risks of operational errors can also be avoided, such as equipment damage. Moreover, if there is a computer, the simulation experiments can be done by this virtual simulation teaching platform, which is very convenient. The virtual simulation teaching platform is innovative and practical. The application of this virtual simulation teaching platform can improve the quality of the traditional teaching in the refrigeration field.

Application of QR Code Online Testing Technology in Nursing Teaching in Colleges and Universities

In view of the current situation that the nursing teaching content is lacking pertinence and cannot effectively cultivate students’ critical thinking, this paper puts forward the application analysis of two-dimensional code online testing technology in nursing teaching in colleges and universities. Through the analysis of two-dimensional code recognition technology architecture and common application fields, an intelligent nursing teaching platform for two-dimensional code online testing technology was designed. Systematically, we summarize the advantages of intelligent nursing teaching platform, use flash and 3D technology to complete the virtualization of nursing teaching scene, and use XML technology to update and save teaching resources; we further build an intelligent nursing teaching platform by using the basic plate, nursing station plate, ward plate, dispensing room plate, and case and operation review plate. The experimental results show that under the two-dimensional code online test technology, the nursing teaching method in colleges and universities has strong teaching resource processing efficiency, improves the operation level of students’ nursing technology, and effectively cultivates the academic thinking of nursing students, which is of great significance to the progress of nursing teaching.

Network Course Recommendation System Based on Double-Layer Attention Mechanism

In view of the lack of accurate recommendation and selection of courses on the network teaching platform in the new form of higher education, a network course recommendation system based on the double-layer attention mechanism is proposed. First of all, the collected data are preprocessed, while the data of students and course information are normalized and classified. Then, the dual attention mechanism is introduced into the parallel neural network recommendation model so as to improve the model’s ability to mine important features. TF-IDF (term frequency-inverse document frequency) based on the student score and course category is improved. The recommendation results are classified according to the weight of course categories, so as to construct different types of course groups and complete the recommendation. The experimental results show that the proposed algorithm can effectively improve the model recommendation accuracy compared with other algorithms.