Design of Teaching Video Resource Management System in Colleges and Universities based on Microtechnology

Yan, Qingbo

doi:10.1155/2021/9914048

Cited by 13 publications

(9 citation statements)

References 16 publications

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“…In the construction phase of the tree, the data are recursively divided into subsets, and all records in each subset belong to the same class or each subset is small enough to build a tree number. e bones of a tree are characteristic, and the edges of the tree are the result of characteristics [14]. e flowchart is shown in Figure 2.…”

Section: Decision Tree Classificationmentioning

confidence: 99%

The Architecture of College Psychological Teaching Management System Based on Data Mining Technology

Huang

Leng

2022

Security and Communication Networks

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In order to meet the requirements of the development of educational informatization, combined with data mining technology, this article studies the architecture of the college psychological teaching management system. To experience the benefits brought by the Internet age, in order to further improve performance and meet the needs of the Internet information age, many colleges and universities have begun to strengthen the development of teaching management. Based on this background, this article proposes a standardized mode of mental health management in colleges and universities based on information technology. With the help of data warehouse and data mining technology, the ID3 algorithm, organizational rules, and other algorithms are used to develop a psychology subject evaluation system. Based on the improvement of grades and the behavioral characteristics of college students, this article formulates cross-platform operation rules, determines the B/S type as the normal state, and solves the best problem through comparison and selection. Then, a more specific system architecture design is carried out. The architecture of the software system selects the classic three-tier structure, which makes the client independent of the use platform and meets the requirements of user diversity and system portability. The design of functional modules such as the system fully meets the requirements of the ideological education management system for college students in the above analysis, with reasonable structure and clear logic. Finally, the advantages of the designed system architecture are summarized, including clarifying the grading idea of ideological education and training. It expands the transplantation ability of the system in a cross-platform way.

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Section: Decision Tree Classificationmentioning

confidence: 99%

The Architecture of College Psychological Teaching Management System Based on Data Mining Technology

Huang

Leng

2022

Security and Communication Networks

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“…One is that users graft and train the encryption storage module of teaching resources by themselves. For the school that lacks practical and technical talents in network and intelligent computing technology, the cost of designing the encryption storage system of teaching resources alone is too high, and it is technically impossible to achieve to a certain extent [13]; the second is to use it by renting a third-party encrypted storage model. Although this method can solve its own technical shortcomings, the maintenance cost is still relatively high, and the encrypted storage process is controlled by the third-party organization in the whole process, which has a certain risk; the third is to use cloud platform services for teaching resource storage [14].…”

Section: A Design Of Cloud Platform Storage Encryption Methods Based ...mentioning

confidence: 99%

Encrypted Storage Method of Oral English Teaching Resources based on Cloud Platform

Si¹

2022

IJACSA

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With the development of the times, the secure storage of educational resources has become one of the key security problems faced by colleges and universities. On the one hand, the cost of traditional resource storage is too expensive, on the other hand, its encryption and access efficiency are low. To solve this problem, this research takes the cloud platform serves as the main carrier for the encrypted storage of school teaching resources. On this basis, the convolutional neural network is encrypted and optimized, and the argmax algorithm is improved to improve the access efficiency of encrypted data. Finally, the effectiveness and superiority of the design method are compared and analyzed through the method of performance detection. The results show that the maximum consumption time of encryption and decryption of the encrypted storage model is no more than 20000ms, which is significantly less than that of the traditional model. The running time of the argmax output encryption module is 1.76ms and the running loss is 0.26 MB, which is less than that of the traditional model. It can be seen that the encrypted storage model has stronger encryption performance and access performance, and has a better application effect in the encrypted storage of oral English teaching resources with a large amount of access data and frequent updates.

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“…He created a microgrid-based teaching video resource management system to improve the storage and sharing of teaching video resource systems in colleges and universities. He realized video network storage and improved network sharing efficiency by constructing micro-technology network storage [ 3 ]. Tucker et al found that one of the main difficulties in achieving effective online teaching was the difficulty of accessing the vast teaching resources of teachers.…”

Section: Related Workmentioning

confidence: 99%

Sharing of Teaching Resources for English Majors Based on Ubiquitous Learning Resource Sharing Platform and Neural Network

Zhang

2022

Computational Intelligence and Neuroscience

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Teachers in traditional English education devote a great deal of time and effort to developing excellent English teaching courseware and other teaching materials. However, because the network’s powerful sharing capability was not fully utilized, poor resource sharing hampered the school’s overall teaching efficiency. The goal of this paper is to investigate how to use a ubiquitous learning resource sharing platform and a neural network to analyze the method of English major education resource sharing. Because the BP neural network algorithm has better classification and prediction functions, it was proposed because it can classify and predict information in the sharing of teaching resources for English majors. This allows for seamless sharing of teaching materials. According to the findings of this study, there were 562.13 million people learning English in China in 2015, accounting for 37% of the population. By 2018, 945.61 million people were learning English, accounting for 85 percent of the population. Almost every student is learning English, demonstrating the language’s importance. As a result, the importance of English instruction is clear, and the sharing of teaching resources should be prioritized.

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Design of Teaching Video Resource Management System in Colleges and Universities based on Microtechnology

Cited by 13 publications

References 16 publications

The Architecture of College Psychological Teaching Management System Based on Data Mining Technology

The Architecture of College Psychological Teaching Management System Based on Data Mining Technology

Encrypted Storage Method of Oral English Teaching Resources based on Cloud Platform

Sharing of Teaching Resources for English Majors Based on Ubiquitous Learning Resource Sharing Platform and Neural Network

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