Integrated Design of Graduate Education Information System of Universities in Digital Campus Environment

This study takes the digital campus construction planning of the high school as an example and determines the requirements of the postgraduate management information system under the digital campus environment through the analysis of the overall framework and technology of the digital campus. Combining the current situation of computer technology, network technology, and the actual situation of our university, the current mainstream B/S three-layer architecture is adopted, the web adopts the current popular Java Server Pages technology, and the struts framework connects to the Oracle backend database through the Java Database Connectivity interface to design the browser-side and server-side programs. The struts framework connects to the Oracle backend database through the Java Database Connectivity interface to design browser-side and server-side programs. The functional model and data flow model of the system were established through a detailed and effective analysis of the entire workflow of postgraduate students’ training management during their school years. Then, the system analysis, design, and drawing of the swim lane diagram and data business flow diagram were carried out. The system was designed in detail in terms of system architecture, development tools, functional modules, and database design, and the core module of training program making in postgraduate training management was highlighted as an example to discuss the principles and methods in the construction of departmental business systems and informatization under the digital campus environment, and a flexible and efficient postgraduate management information system was realized. It standardizes the construction of data standardization in universities; does a good job of standardizing and normalizing information; improves the accuracy, validity, and real-time production of data collection and the real and safe unified management of historical data; and provides scientific and reasonable data support for the leadership to make relevant decisions.

A College Student Behavior Analysis and Management Method Based on Machine Learning Technology

A digital campus will generate a large amount of student-related data. How to analyze and apply these data has become the key to improving the management level of students. The analysis of student behavior data can not only assist schools in early warning of dangerous events and strengthen school safety but also can use real data to describe student behavior, thereby providing quantitative data support for scholarship and grant evaluation. This paper takes a university student as the research object, collects various data in the digital campus platform, and uses an adaptive K -means algorithm in the machine learning algorithm to cluster the data. Analyze the behavior of college students from the clustering results, so as to provide a basis for the education management and learning ability improvement of college students. Specifically, the student’s study, life, and consumption data are selected as the data to describe the student’s behavior at school. This data is input into the adaptive K -means algorithm to obtain different types of student consumption habits, living habits, and learning habits. Through the analysis results, it can be found that the problem of the group of students with low financial ability, the problem of too long online time for students, and the number of books borrowed are too low. According to the characteristics of these problems, teachers and schools are provided with targeted management suggestions. The analysis of student behavior based on machine learning technology provides a reference for the formulation of students’ school management policies and provides teachers with information on students’ personality characteristics, which is conducive to improving teachers’ teaching effects. In short, the management of the results of student behavior analysis can provide a basis for the school to formulate reasonable management policies, thereby promoting precision management and scientific decision-making.

Research on the Integration of 5G+AI Technology to Empower Digital Education Under the Background of Industrial Internet

With the continuous maturity and gradual application of 5G technology, this technology will break the traditional traffic service model and shift to a full factor ecological chain model. The integration of 5G technology and industrial industries will greatly improve industrial production efficiency and accelerate the digital transformation of industrial upgrading. When 5G + AI technology is accelerated into the education and learning process, what effect will this have on the educational scene? Undoubtedly, this is a new subject worthy of attention and research. 5G + AI technology will reconstruct the future education information ecosystem, bringing subversive technological changes and educational application scenarios. The integration of 5G + AI and education and teaching practice will innovatively bring many important scenarios, such as technology integration, teacher training, student learning, digital campus management, teaching context, curriculum development, environmental design, teaching evaluation, special education, etc.

COURSE RECONSTRUCTION OF DATA STRUCTURE AND ALGORITHM DRIVEN BY EDUCATIONAL MODERNIZATION

This paper pointed out the problems existing in the teaching of data structure and algorithm, and expounded the teaching innovation of teaching environment, teaching mode, teaching organization, teaching content and teaching method based on the problem orientation. The teaching environment relied on digital campus + smart classroom + learning through teaching wisdom software, and the teaching mode adopted the blending teaching model of online and offline. The teaching team was established to construct the course, and the division of teaching tasks was carried out. The classroom was integrated into the grouping teaching, and the high-quality teaching resources were integrated. The localization design was carried out, and the grouping, inquiry, participation and cooperation teaching methods were integrated into the traditional heuristic and case teaching. Finally, the form of data comparison showed the effectiveness of teaching innovation.

Secure Remote Access IPSEC Virtual Private Network to University Network System

With the popularity of the Internet and improvement of information technology, digital information sharing increasingly becomes the trend. More and More universities pay attention to the digital campus, and the construction of digital library has become the focus of digital campus. A set of manageable, authenticated and secure solutions are needed for remote access to make the campus network be a transit point for the outside users. Remote Access IPSEC Virtual Private Network gives the solution of remote access to e-library resources, networks resources and so on very safely through a public network. It establishes a safe and stable tunnel which encrypts the data passing through it with robust secured algorithms. It is to establish a virtual private network in Internet, so that the two long-distance network users can transmit data to each other in a dedicated network channel. Using this technology, multi-network campus can communicate securely in the unreliable public internet.

Digital Campus – a future former investment in education for a sustainable society

Intelligent learning and research are happening everywhere, nevertheless, conventional teaching and learning in universities, based on face-to-face or in person approach is still the basic environment. Actual movements in socio-economic life around the world impose e-learning and e-presence. However, moving digital is more than online teaching, is changing the environment. The present research paper aims to demonstrate how a digital campus, with all aspects, can perform a crucial role in enriching the university campus’s structure and culture to ensure the quality assurance of teaching, research and administrative management using actual innovative technologies. Moreover, digital campus changes the perspective of social and physical environment, and the present paper found out that Digital campus provide anytime and anywhere access to university facilities (maintaining the environment clean in the same time), learning, research, and meeting the industry as well.