The Role of Cloud Computing Platform in Civic Education Resource Sharing in Colleges and Universities
Publié en ligne: 03 févr. 2025
Reçu: 16 sept. 2024
Accepté: 04 janv. 2025
DOI: https://doi.org/10.2478/amns-2025-0003
Mots clés
© 2025 Ting Yang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The basic goal of Civic and political education in colleges and universities is to help improve the moral qualities of college students, guide contemporary college students to form a correct worldview and values, and firmly establish a correct political orientation. Civic and political education in colleges and universities is inherently humanistic and real-time in nature and always insists on taking students as the center and main body [1–3]. The task of Civic and political education in colleges and universities is to promote the cognition of college students in politics, culture, ideology, international situation, major guidelines and policies and other related aspects and to cultivate excellent successors who can firmly devote themselves to the realization of the dream of the great rejuvenation of the Chinese nation and firm ideals [4–7].
With the development of the Internet, the “Internet + curriculum” makes the “world” a textbook for students to learn. Schools are actively creating learner-centered informal learning spaces and establishing blended school-based platforms such as smart classroom interactive teaching platforms, learning situation analysis systems, course teaching management systems, and independent learning resources [8–10]. The sharing of resources for Civic and Political Education in colleges and universities is one of the effective ways to improve the quality of Civic and Political Education and Teaching. However, due to the problem of information silo and resource dispersion among different universities, the resources of Civic and political education in colleges and universities cannot be effectively shared and utilized. Cloud computing, as an emerging information technology, provides new possibilities for the sharing of educational resources for civic and political education in colleges and universities [11–14].
With the help of Internet technology to establish the sharing platform of college civic and political education resources, it can realize the sharing of massive educational resources, which plays an important role in improving the quality of teaching. Literature [15] utilizes the method of enhancing measurement independence to conduct research, obtains a model with the ability to improve student’s learning interest, and analyzes the management model of the fuzzy decision tree Apriori algorithm for the sharing of college civic and political education resources. At present, there are many problems with ideological education in colleges and universities, literature [16] from the perspective of innovative education, through literature analysis, systematic research and other methods on the teaching effect of ideological education in colleges and universities, especially the “idea sharing” was studied. The results found that the teaching effect of ideology and politics education in colleges and universities benefits from the establishment of the practical teaching level model of theoretical courses, but in this process, serious formal problems and poor practical effects have been exposed, which requires colleges and universities to realize the “shared development concept” in order to improve the effectiveness of teaching. The establishment of a teaching resource-sharing platform can effectively promote the integration and sharing of teaching resources. Literature [17] emphasizes that there are many problems in the current Civic Education Resource Platform in higher vocational colleges and universities. In this context, the Civic and Political Education Resource Sharing Platform based on MVC architecture is studied, and the implementation of this platform breaks the time and space limitations and promotes the sharing of teaching resources. Cloud computing is able to allocate and schedule the Civics education resources in colleges and universities through algorithms, and the literature [18] introduces the research background and significance of the scheduling model of Civics teaching resources in colleges and universities based on cloud computing. The performance of the resource scheduling model was tested, and the results concluded that the cloud computing-based scheduling model for college Civics and Political Science education resources has a high degree of practicality and can meet the basic needs of users.
The characteristics of the network environment are diversified, among which the feature of “open sharing” brings opportunities and challenges for ideological education in colleges and universities. Literature [19] shows that the functions and goals of civic education can also be realized through the network platform. Therefore, combining the practice of civic education with the network environment is an important strategy to improve the effect of civic education. In order to realize the storage and sharing of civic and political education resources, literature [20] developed a mobile teaching resource sharing system on the basis of analyzing the characteristics and current situation of mobile learning resource construction. In order to test the performance of the system, it is used in Civics teaching, and the results show that the system performs well and can meet students’ individualized learning needs. The use of networks and modern teaching equipment can promote the balanced development of education. Literature [21] developed an online course for Civic and Political Education based on the concept of student-centeredness and educational information technology, with the educational cloud platform as the main body. It is emphasized that making full use of modern teaching equipment is of great significance in promoting the balanced development of education. The application of “cloud computing” in teaching in colleges and universities has received widespread attention, and literature [22] describes the impact of cloud computing on Civic and Political Education in colleges and universities. Cloud computing can play an important role in teacher-student interaction, talent cultivation, platform construction and other aspects of colleges and universities, and push the ideological and political education of colleges and universities to a new height. Civic and political education has gradually been emphasized in China, and the literature [23] aims to build a cloud-based collaborative civic and political education resource platform to improve the effect of teachers’ civic and political education. It is indicated that the platform has the function of sharing and obtaining educational resources, which promotes the development of Civic and Political Education in colleges and universities. Cloud computing technology has the characteristics of reliability, cheapness and sharing, which is of great significance to the ideological and political education in colleges and universities, according to which the literature [24] suggests that China must adopt cloud computing in order to build a system related to ideological and political education and to take a hierarchical and organic filler construction mode for its implementation. In the context of the big data era, the reform and innovation of Civic and Political Education in colleges and universities is a requirement to adapt to the development of the times, and literature [25] creates a teaching system with intelligent data analysis and recommendation functions, emphasizing the expansion of the impact of Civic and Political Education in colleges and universities as well as the effectiveness of Civic and Political Teaching.
The design ideas and system architecture of the cloud computing-based educational resources-sharing platform are presented in this paper. The data set of educational resources for curriculum thinking and politics to be integrated is moved into a fixed-size window, and the integration and sharing of educational resources for curriculum thinking and politics is realized by detecting the data in the window and judging the degree of matching between the data. A dynamic assessment model of the value of educational information resources is also designed to improve the enthusiasm of the main body of co-construction and sharing. A performance test is conducted to compare the performance of the cloud teaching resource platform with the traditional resource platform in order to evaluate its performance. The study examines the use and sharing of network resources for ideologic and political education in colleges and universities by randomly distributing questionnaires to college students as the survey object.
Accompanied by the arrival of the information age, computer technology and Internet technology in all walks of life have been widely used in some traditional industries and have a strong impact, but also bring new life to traditional industries. The concept of “cloud computing” has greatly changed the idea of large-scale, big data, and centralized development of enterprises. “Cloud computing” has also penetrated the Civic Education industry, promoting the development of digitization of Civic Education resources, changing traditional teaching methods, data resource storage and management. This section establishes a learning model based on cloud computing, which is shown in Figure 1. From “collaborative learning”, “group intelligence”, “computer-assisted teaching”, and “cloud computing-assisted teaching”. The four aspects of the necessity of cloud computing in Civic Education Resource Sharing are elaborated to support research on the Civic Education Resource Sharing Program using cloud computing.
The learning model of cloud computing
The architecture of the educational resource sharing platform based on cloud computing technology is built on the basis of B/S (Browser/Server) architecture, combined with the characteristics of the Internet and Web technology. Its overall architecture diagram is shown in Figure 2. The platform can be divided into three parts, namely the representation layer, the business layer, and the data layer. Among them, the representation layer mainly refers to basic equipment services, including various terminal devices. The business layer mainly refers to software services, including clients based on Web technology, service programs, and so on. The data layer mainly refers to data services, including data access, maintenance, etc. The B/S architecture’s network operation mode is contingent upon the browser, and there are numerous interactive interfaces that are not only easy to create but also easy to maintain. On the educational resource sharing platform based on cloud computing technology, users interact with the browser, which first sends a business request to the cloud computing service pool, then the management software in the business layer carries out the business application and finally flows to the data layer to respond to the customer’s needs and realize the access to and management of the data resources, and the whole process is mainly dealt with by a variety of distributed services, the cloud computing service pool and the statistics center.
Overall architecture diagram
With the help of computer-assisted teaching and cloud computing-assisted teaching of the new era of teaching and learning to make full use of high-quality educational resources, thus designing a cloud computing-based educational resources sharing cloud platform. The design idea not only synthesizes the research of the theory but also reflects the idea of the preparation stage, as follows: (1) Flexible resource sharing The biggest feature of the educational resource sharing platform based on cloud computing technology is resource sharing, communication and mutual assistance. On the platform, users can speak freely, express their views, and share their information. Cloud computing platform data storage and access is very convenient, and large storage space wide coverage, to a large extent, to improve the user’s utilization of resources to solve the problem of lack of educational resources in remote areas. Sharing resources and communicating with each other is the core idea of the educational resource sharing platform, which is also the key content of the research on this topic, and promotes the reform of the traditional education mode to the modernized digital education mode. (2) Diversification of services, high efficiency and affordability On the educational resource sharing platform based on cloud computing technology, it can provide a variety of cloud services, education cloud, learning cloud, and also has a very strong data processing capability. Deploying algorithms and programs in the cloud can provide users with cloud services, support a variety of applications running simultaneously, and reduce the expenditure on hardware infrastructure costs for customers. In the process of building the entire educational resource sharing platform, we have always been committed to providing a variety of high-quality services and maximizing the benefits of resource sharing and management. (3) Emphasize interactivity On the cloud computing-based educational resource sharing platform, adhering to the purpose of providing users with a good communication environment, we strengthen user participation and encourage users to actively discuss, speak, and talk about their ideas. On the platform, users not only interact linguistically but also share resources. The interaction between users reflects the characteristics of collaborative learning, which can promote the reform of the traditional teaching mode and promote modernization, personalization, and blended development in the teaching mode.
Before integrating and sharing the curriculum for Civics and Politics educational resources, the original data must be cleaned and processed. To integrate educational resources on curriculum thinking and politics, a fixed-size window is used, and the degree of match between the data is evaluated by detecting the data in the window. Among them, the similarity situation of educational resources is calculated as:
Where: sim(x,y) denotes the similarity parameter between the original curriculum ideology education resource data and the source data in the data warehouse. Simfi denotes the similarity parameter of the subject field in the curriculum ideology education resource; Wi denotes the size of the ith data window. In the process of window moving, the first data is moved out of the window, and the data entering the window is compared with the second data. When the degree of similarity between the two reaches the set value, it is moved out of the process; when the degree of similarity between the two is lower than the set value, it is saved. In this way, duplicate records similar to those in the original curriculum Civics education resources data set can be eliminated. In the process of integrating and processing the curriculum Civic and political education resources, cloud computing technology is introduced, and full consideration is given to the platform operation efficiency in the case of parallel processing of multiple requests.
In the study of the cloud service model for sharing educational information resources, educational information resources are categorized into three types: curriculum resources, complete resources, and fragmented resources. In order to acquire and share these three types of resources, resource builders and ordinary users can acquire resources through two behaviors: one is resource purchase, i.e., according to the value of the resources, acquiring the resources by means of virtual currency or actual currency payment. The other is resource exchange, i.e., two or more resource builders each hold their own resources and exchange resources. Both resource evaluation and resource sharing require determining the value of resources. Based on the above considerations, the value of educational information resources is calculated as shown in equation (2):
Where The following aspects determine the basic value of a resource: the type of resource, the amount of resource data and the degree of media richness in the resource construction process. The basic value of resources is different for different resource types, data volume and media richness: for example, the basic value of curriculum resources constructed by schools and enterprises is different from the basic value of complete resources and fragmented resources constructed by individual users. Even if the resource types are the same and the amount of resource data is different, the amount of resource value is also different. The use value of resources is not static. The key factors affecting the use value of resources are the number of resource views, the number of resource downloads, and user ratings. The number of resource views and resource downloads can determine how many other users are browsing and using the resource, and the user rating can determine how much the resource has substantially helped other users.
First of all, for the basic value of resources
When uploading resources, the resource builder can specify the choice of resource type, media richness, data volume and other information, based on which the system comprehensively determines the basic value of the resource. The formula for calculating the basic value of educational information resources is:
Where
The value of
Media Richness
The value of
The resource uploaded by the user contains text information and video information, then to determine the amount of data of the resource, the overall amount of data of the resource should be determined according to the correspondence between the amount of data of the video resource and the value of
The value of the use of educational information resources can be determined through the use of user evaluation mechanisms
Among them,
In order to increase the credibility of the cloud teaching resource platform test, the control platform is a university computer course resource platform constructed by a computer basic teaching base of a university in Beijing, and the control platform will be deployed on virtual hardware with comparable hardware level to the cloud platform. According to the scale of realizing the cloud teaching resource platform, the test environment, as well as the comparison test environment configuration, is shown in Table 1. Except for the memory size (2G, 5G) and the number of machines that are not (5, 2) the same, the other environment configurations are the same.
Cloud computing platform and control platform test environment
| Environmental configuration | Cloud teaching resource platform | Control platform |
|---|---|---|
| Memory size | 2G | 5G |
| CPU quantity | 2 | 2 |
| Disk space | 120G | 120G |
| Machine quantity | 5 | 2 |
| Operating system | Ubuntu12.4 Server | Ubuntu12.4 Server |
The configuration parameters for the two control tests are shown in Table 2. After specifying the environment for performance testing, it is necessary to configure Bench4Q. In the regular performance Bench4Q test, the concurrent data will be tested to evaluate the performance of the entire application. The test environment in this paper is limited hardware resources in the simulation environment after the test. In the 200, 400, and 600 concurrent tests, the test results obtained are not very different. It is only when 1000 concurrency data is performed that there is a certain degree of differentiation. In order to ensure that the test results can be more only tube, this paper, in order to avoid the low concurrency number of performance data layout differentiation problems, in this performance test chose 1200 concurrency numbers for testing. The test’s configuration parameters are identical: the thinking time is the tolerance time. The rest of the parameters to maintain the default can be.
Control test configuration parameters
| Environmental configuration | Cloud teaching resource platform | Control platform |
|---|---|---|
| Concurrent quantity | 1200 | 1200 |
| Thinking time | 0.2s | 0.2s |
| Tolerance time | 3s | 3s |
| Test URL | 192.168.56.2/computer:8080 | 192.168.56.2/computer:8080 |
The performance test results are shown in Fig. 3, Fig. 3a shows the performance test results of the cloud platform, and Fig. 3b shows the performance test results of the web application. In the two result pictures, we can see that with the output of concurrency, the number of interactions handled by the cloud teaching resource platform per second is relatively smooth compared to the traditional control test in the same time period, and the fluctuation of the curve is less drastic than that of the traditional control platform, which shows that the cloud computing teaching resource platform has a better ability to balance the load when handling requests than the traditional teaching resource platform.
Performance analysis
Each node of the cloud computing teaching resource platform is able to handle the requests sent from the client and can evenly distribute the concurrency per unit of time to each node so that the number of requests handled per unit of time is relatively fixed, always fluctuating between 100 and 200 interactions, so it can handle more requests per unit of time, which fully proves the superiority of cloud computing over traditional teaching resource platforms in terms of load balancing. This data fully proves that cloud computing is better than traditional teaching resource platforms in terms of load balancing. The response time of the traditional control platform, which is limited by the number of requests processed per unit, will surge at a certain point in the simulated test environment to process the simulated requests, excluding these points where the long response time of the requests occurs due to the network blockage caused by the concurrent outputs, most of the response time of the traditional control platform is faster than that of the cloud teaching resource platform, although in the test data of the cloud teaching resource platform, the average response time is still higher than that of the traditional control platform. In the process of load balancing, the cloud teaching resource platform will queue up the client requests that have not yet been processed, so the cloud platform will not experience a surge in the response time of the request when it encounters the impact of a large number of concurrent requests, which increases the response time of the request to a certain extent but does not lead to a decline in the quality of service because of concurrency when deploying applications on a large scale. A comprehensive analysis of the above conclusions shows that the performance of the cloud computing teaching resource platform will be superior to the traditional teaching resource platform in the large-scale deployment of applications, in line with the advantages of cloud computing in large-scale applications.
Test the basic operational performance of both systems. Calculate the response time of the system for users to access information on Civic Education with the formula:
Where:
Shared agility
Calculate the information sharing degree of the two systems under five different resource nodes respectively:
Where:
Information sharing
In this study, 120 students from four types of colleges and universities, including teacher training, medicine, science and technology, and comprehensive, were selected as survey respondents, and the questionnaire was designed with a total of 22 questions, including 21 closed questions and 1 open question, which involved students’ knowledge and utilization of the Civic and Political Cloud Computing Platform, website construction, and resource sharing.
Logging into the Civic Government Cloud Computing Platform of many colleges and universities, the questionnaire lists the names of more columns set up on the Civic Government website of each college and university and the 120 people who answered that they had been on the Civic Government website were interested in the contents of these columns as shown in Table 3, in which the “employment and examination and research” column is the most interesting to students, accounting for 61.67%. The employment situation has a strong relationship. Followed by a wonderful recommendation, current affairs review, psychological counseling, campus culture, and other columns. The columns “Online Party School” and “Two Courses of Teaching” are relatively less interesting. This shows that the content of Civics on Cloud Computing Platform needs to be closer to students and more suitable for their development needs, while the presentation form needs to be more in line with the characteristics of students.
Students’ interest in the content of the cloud computing platform
| Cloud computing platform | Degree of interest | |||||
|---|---|---|---|---|---|---|
| Interest | Proportion | General | Proportion | Disinterest | Proportion | |
| Job examination | 74 | 61.67% | 28 | 23.33% | 18 | 15.00% |
| Excellent recommendation | 55 | 45.83% | 42 | 35.00% | 23 | 19.17% |
| Current events | 54 | 45.00% | 46 | 38.33% | 20 | 16.67% |
| Psychological counseling | 53 | 44.17% | 44 | 36.67% | 23 | 19.17% |
| Campus culture | 51 | 42.50% | 48 | 40.00% | 21 | 17.50% |
| Glorious footprint | 50 | 41.67% | 40 | 33.33% | 30 | 25.00% |
| Garden | 38 | 31.67% | 56 | 46.67% | 26 | 21.67% |
| Audio-visual data | 36 | 30.00% | 50 | 41.67% | 34 | 28.33% |
| Classic guide | 32 | 26.67% | 58 | 48.33% | 30 | 25.00% |
| Thought BBS | 30 | 25.00% | 50 | 41.67% | 40 | 33.33% |
| Online party school | 26 | 21.67% | 42 | 35.00% | 52 | 43.33% |
| Cloud computing platform teaching | 20 | 16.67% | 52 | 43.33% | 48 | 40.00% |
As to the question of whether the resources on the Civic Network need to be shared, 95% of the students think that they should be shared, and only 5% think that they don’t need to be shared, which shows that resource sharing is not only the need of the times but also the objective demand of the majority of users. As for the current obstacles affecting resource sharing, the results of the survey are shown in Table 4. 57.5% of the respondents believe that it is a problem of the management system, 51.67% believe that it is a problem of insufficient motivation, 52.5% believe that it is the lack of effective coordinating institutions, 51.67% believe that it is a problem of ideological awareness, and 45.83% believe that the resources of each school lack of characteristics. The realization of resource sharing still necessitates a process and the collaboration of many parties.
Sharing barriers
| Cause | Number | Proportion | Cause | Number | Proportion |
|---|---|---|---|---|---|
| Management system problem | 69 | 57.50% | Lack of features | 55 | 45.83% |
| Cognitive problem | 62 | 51.67% | Weak technical force | 49 | 40.83% |
| Platform construction | 47 | 39.17% | Low network | 45 | 37.50% |
| There is no effective coordinating mechanism | 63 | 52.50% | Underpower | 62 | 51.67% |
| There is no guarantee of data safety protection | 30 | 25.00% | No financial protection | 50 | 41.67% |
This paper focuses on researching and constructing the cloud service system and educational resource sharing platform for the common construction and sharing of curriculum civics and political education information resources with the goal of realizing the common construction and sharing of high-quality educational resources by cloud computing technology. The platform has a good application effect and can provide reliable technical support for the integration and sharing of educational resources. The following conclusions can be obtained after experimental analysis:
The platform of this paper has a good effect on practical applications, which can improve the network load rate and ensure the resource sharing transmission and response speed at a high level. Comparison results show that the agility and contribution of Civic Education Resources of this platform in practical applications have better performance than traditional platforms. Most students favor the columns of the Civic and Political Education Resource Sharing Platform.