Construction Of Digital Campus Research Articles

A Multiperspective Intervention Path Study of Employment Expectancy in the Era of Big Data

The increasingly large employment group in colleges and universities has brought huge employment pressure to the society. Therefore, improving the level of professional ability of college students, providing students with personalized career development direction planning, and helping students to establish a correct concept of career selection are feasible ways to solve the structural contradiction of college students’ employment. The arrival of big data era provides new development opportunities for employment work in colleges and universities. Big data drives the high-quality development of precise employment in colleges and universities, which is inevitably required to reach the precise requirements of work development, information mastering, platform docking, information pushing, and help work. The traditional employment guidance work is backward in means and poor in timeliness, which leads to poor intervention effect on students’ employment expectation. With the deepening of digital campus construction and the development of big data technology, massive educational data has been accumulated but not reasonably utilized. Therefore, in this paper, we take the massive student data accumulated in digital campus as the research object, based on the research method of convolutional neural network, to explore the hidden personalized information of students behind it, predict their future career development direction, and provide scientific and technological support for the work of university education and teaching. Thus, the architecture classical DenseNet was improvised to avoid gradient disappearance and guarantee the classification accuracy, thereby targeting to reduce the number of connections. The study also proposed a 2-DenseNet model, wherein the attention module was embedded into 2-DenseNet followed by the conduction of training and validation on the university employment dataset. The experimental results show that the method proposed in this paper could predict the appropriate career development direction timely and effectively based on multiple perspectives of students’ comprehensive quality. This would enable the students to plan and adjust their employment expectations leading to disseminating of efficient employment guidance in colleges and universities.

Research on The Construction of Digital Campus for Vocational Colleges

<p>According to the relevant requirements of the Code for Digital Campus of Vocational Colleges of the Ministry of Education, combined with the characteristics of teaching and education of vocational colleges and the needs of information construction, this paper analyzes the new requirements and characteristics of digital campus construction of vocational colleges, and puts forward the connotation and construction principles of digital campus. On this basis, the overall construction framework and construction contents of digital campus of vocational colleges are given. Finally, according to the characteristics of vocational college informatization construction, this paper puts forward some suggestions to promote the implementation of vocational college digital campus construction, which can provide reference for promoting the modernization of vocational education with the help of informatization.</p> <p> </p>

Research on Digital Campus Construction of Lyuliang University Based on Luliang Big Data

On the basis of the existing data processing and analysis capabilities of Lyuliang College, the digital campus construction scheme of Lyuliang College is reasonably designed from six aspects: information public support environment, green and energy-saving data center, cloud service platform, big data standard system, big data acquisition system, big data processing and analysis system, so as to provide information services for school teaching, scientific research and management, and promote the optimization of teaching effects. At the same time, promote the deep integration of information technology and education and teaching.

Data Sharing and Online Political Education Based on Edge Computing Network Optimization

The rapid development of Internet of Things services and the rapid growth of new broadband services have promoted the ever-increasing computing demands of mobile devices. As an emerging mobile computing technology, mobile edge computing is an important key technology to improve computing services for mobile devices. Mobile edge computing technology provides an important way for users to provide computing services with low latency and high computing performance. At the same time, it also provides technical means to develop online education. Online education called E-learning is an education model that uses the Internet as a medium. Through the Internet, students can conduct educational activities thousands of miles away from the teacher. In addition, students can learn at any time by referring to and downloading network code resources, thereby breaking the space and time constraints. The development of informatization of university education is an important part of the development of informatization, and it is the adaptation and combination of the application of information technology in the education field. At present, the informatization of universities at home and abroad has ushered in the era of digital campus construction, and most of its focus is on the reorganization of functional departments and the integration of independent systems. By analyzing the needs of data sharing and exchange, this article plans to use existing mature technologies, such as data warehouse, data synchronization update, and data security, based on DataX to design the data sharing and exchange plan of the public data platform, including data standards, coding standards are designed to achieve uniform rules, formats, and codes to build an online political education platform.

Research on Cloud Storage Technology in Digital Campus Big Data Scenario

Realizing campus intelligent management and service mode by combining cloud storage technology is the focus of current research in digital campus construction work. By analyzing the IT development trend of digital campus, the defective problems of traditional storage system, from the architecture design and platform construction of cloud storage system for digital campus, we propose a cloud storage construction scheme for campus big data scenario, and discuss the application of virtualization, streamlined configuration, storage optimization and other technologies in cloud storage. The cloud storage technology is applied in the construction of digital campus, which strongly accelerates the process of digital campus informatization.

Evaluation of Mathematical Models for Teaching Precision in the Framework of Big Data

With the continuous development and application of data computing in the whole society in the construction of digital campus and intelligent campus of each higher education institution. In the environment of education, universities use these data well, which not only affects the orderly operation of higher education but also will become an inexhaustible power to help higher education promote the reform and innovation of education and teaching system. In this paper, we focus on the teaching operation and students’ independent learning by taking students’ evaluation data and students’ online learning data of Y school as the research objects. We conducted a preliminary analysis and transformation of students’ evaluation data of a university, eliminated the abnormal evaluation data by using the improved cosine phase dissimilarity algorithm, standardized the evaluation data by using the normalization method, and used the traditional K -modes algorithm. Based on these three problems, the traditional K -modes algorithm was improved in three aspects, including the determination of the number of clustering families, the determination of the measurement of clustering distances, and the experimental results showed that the improved algorithm was more reasonable and effective.

Construction of a Six-Pronge Intelligent Physical Education Classroom Model in Colleges and Universities

A main form of information construction in colleges and universities is smart campus, which is a new model based on the improvement and perfection of digital campus construction. The development of smart campus is inseparable from the support of technologies such as Internet of Things (IoTs), cloud computing, and big data. By perceiving the teaching environment and intelligently identifying the characteristics of teachers and students, it can be used as a basis to improve the physical education, teaching environment, and digital teaching space, that is, an intelligent and diversified teaching environment for college teachers and students. In this study, we introduce an intelligent teaching mode into physical education classroom, construct the “six-pronge” intelligent classroom model, and apply the model by setting up a control and an experimental group to study the application effects of the proposed model in physical education teaching. The control group consists of the students who do not adopt the teaching mode, while students in the experimental group use the intelligent physical education teaching model. Through a comparative analysis, students’ physical education classroom teaching atmosphere, students’ learning interest and learning attitude, the proposed intelligent physical education classroom model are tested and verified. The analysis results show that after implementation of the “six-pronged” intelligent physical education classroom model, the physical education classroom atmosphere is active, and students have strong interest in learning and correct learning attitude. We believe that the model can help students complete pre-class preparation, in class teaching and after class practice supervision, and obtain a lot of knowledge about physical training. In addition, the model can help to cultivate students’ lifelong physical education learning and exercise habits, and greatly improve the quality of physical education classroom teaching in colleges.

Design of English Teaching Corpus Resource-Sharing System Based on XML Technology

It is well known that vocabulary is the cornerstone of language learning. Therefore, vocabulary teaching is very important in English language teaching. However, time-consuming and inefficient vocabulary education has always been a long-standing issue. Teachers utilize traditional teaching methods, which are monotonous, so students lose interest and desire in studying, resulting in a drop in academic performance and even resistance to English courses, creating a vicious circle. Therefore, improving the efficiency of vocabulary teaching has become a hot topic in the field of English education today. Corpus technology has begun to infiltrate the realm of English education as the times and technology have progressed. Because of its vast capacity and real corpus, the corpus is gradually being used in English classes. Therefore, this research will explore the application of corpus-based XML technology data-driven teaching in junior high school English vocabulary teaching. Data-driven vocabulary teaching based on corpus resources has been shown to considerably improve students’ vocabulary learning effects, but its promotion requires the assistance of education departments as well as the development of instructors’ professional theoretical understanding. In order to solve the problem of data processing and data sharing of heterogeneous data in the process of digital campus construction, this study aims at the campus network application system, using data exchange technology and XML’s good extensibility, self-description, separation of form and content, etc. It realizes data sharing and sharing in heterogeneous databases.

Design and implementation of university audit platform based on big data analysis

Digital university audit platform has become an important part of digital campus construction. How to combine big data analysis technology with university audit research, so as to promote the in-depth development of university audit work, is an urgent problem to be solved. Audit work in Colleges and universities is an important work at present. This paper aims to study the construction of university audit platform under the background of big data, explain the current situation of the construction of audit platform, the framework structure of audit platform and the problems and reasons of audit platform, accelerate the construction of information audit technology system, improve governance ability, and assist universities and education authorities in making major decisions.

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.

RESEARCH ON EARLY WARNING SYSTEM OF COLLEGE STUDENTS’ BEHAVIOR BASED ON BIG DATA ENVIRONMENT

Abstract. Because most schools have been using traditional methods to manage students, there is a lack of effective monitoring of students' behavioral problems. In order to solve this problem, this paper analyses the characteristics of big data in University campus, adopts K-Means algorithm, a traditional clustering analysis algorithm, and proposes an early warning system of College Students' behavior based on Internet of Things and big data environment under the mainstream Hadoop open source platform. The system excavates and analyses the potential connections in the massive data of these campuses, studies the characteristics of students' behavior, analyses the law of students' behavior, and clusters the categories of students' behavior. It can provide students, colleges, schools and logistics management departments with multi-dimensional behavior analysis and prediction, early warning and safety control of students' behavior, realize the informatization of students' management means, improve the scientific level of students' education management, and promote the construction of intelligent digital campus.

MOOC Learning Behavior Analysis and Teaching Intelligent Decision Support Method Based on Improved Decision Tree C4.5 Algorithm

to better carry out Massive Open Online Courses (MOOC) teaching evaluation and improve teaching effect, firstly, a teaching decision support system with evaluation function is designed by analyzing the actual situation of the college. Secondly, the decision tree data mining algorithm is introduced in the subsystem of student score analysis and evaluation. Finally, the decision tree model of student score analysis evaluation is constructed according to the decision tree algorithm. Through the practical exploration of applying the decision tree algorithm to the MOOC teaching evaluation management system of higher vocational colleges, it is found that the application of data mining technology to the construction of digital campus is not only reflected in the theoretical feasibility, but also reflected in its technical feasibility.

Research on Network Information Security and Strategy in Vocational Colleges

With the advent of the era of big data, intelligent and Internet +, personnel training and education of the school, the teaching pattern reform needs network information technology to support, so the education organization attaches great importance to the development of network information technology, as one type of higher education in higher vocational colleges, no matter from the education administrative department or local government attaches great importance to the development of higher vocational education, especially for digital campus construction in higher vocational colleges put forward very high requirements. From higher vocational colleges to strengthen the construction of digital campus, strengthen the campus network information security, this paper explores the deficiency existing in digital campus construction, research the connotation of higher vocational digital campus network security prevention and control system clear priorities, further summarizes the work method

Application of Oracle RAC Cluster Technology in Digital Campus

In the construction of digital campus, the integration of information resources and centralized data storage require higher availability and reliability of the database. Based on the analysis of the Oracle RAC architecture, this paper discusses how to build core database system of digital campus by using ORACLE RAC cluster technology. The digital campus of China University of Geosciences (Beijing) is taken as an example. After running test, the dual-machine database cluster mode shows stability and efficiency. It can meet the requirements of building an efficient and reliable digital campus data platform.

Research on the key technologies and realization of virtual campus

Virtual campus is a foundation of digital campus construction and its research and creation has great significance to digital campus. Building the scene with 3DMax and Photoshop and taking C# as the programming tools of Unity, we implemented the interactive virtual campus system and research on the key technologies involved in the system, such as model Optimization technology, virtual interactive technology, collision detection technology and particle effect technology and so on. The system operates stably and the image is smooth, which proves the point that Unity is an efficient tool for developing VR project.

Study of Wisdom Campus Overall Architecture Model in Vocational Colleges Based on Service Oriented Architecture

Wisdom campus is a high-level stage of digital campus construction and needs to be improved in addressing the issues of information silos and legacy systems. Based on the SERVICE ORIENTED ARCHITECTURE-based vocational schools wisdom campus overall architecture model contains reusable services and well-defined, standards-compliant interface, through services to achieve different platforms, different languages on the exchange between the system can be targeted at vocational colleges to provide business processes, To provide fast and flexible changes. The model of “platform + application + service” proposed by the model and service-oriented thinking can better solve the problem of information silos and legacy systems and provide an effective method for upgrading the Informatization level of vocational colleges.

Students performance modeling based on behavior pattern

Academic performance of college students is the main concern of educational institutions. Effective and timely predicting performance is not only conducive to the school’s Ministry to improve the efficiency of supervision, but also helps students to develop good study habits. With the rapid construction of digital campus, university as the main range for students’ life can not only serve convenience but also record daily life. The popular using of smart card makes it easy to outline students behavior pattern with rich data. The purpose of our work is to predict students performance based on their behavior pattern and analyze the correlation between them. In this paper, we propose a general framework to model students performance. Firstly, we describe students behavior pattern and extract behavior features in two perspectives including statistics and relevance. Then we employ a multi-task model to learn performance of every course simultaneously. Our experiments on a real world data set of college students show a good outcome. We do a further analysis on relation between students behavior and academic performance. Moreover, our experiments indicate that our framework is feasible for early warning.

Research on Construction of Digital Campus in Higher Vocational Colleges

Research on Construction of Digital Campus in Higher Vocational Colleges

Construction and Operation of Digital Campus System Platform in Guangxi Polytechnic of Construction

The digital campus is the advanced information technology on campus for all hardware and software resources were fully digitally. This article mainly aiming at existing question of our school digital campus to put forward a solution that builds a unified identity authentication platform which once you have logged in, you can switch to all platforms without password. And this paper focuses on the principles, contents and expected effects of our digital campus construction.

Data Quality Analysis and Integration in University Information Systems

University information systems (UIS) are an important part of digital campus, which makes the management and decision-making more convenience. With mass of data emergence, people have to think of data quality and data integration due to the issues created by the gap between the legacy system and the current systems. The effect of UIS application is directly related to data quality. Furthermore, there exists data isolation between different systems, which leads to data inconsistency and difficulties in sharing information. Consequently, we need to analyze the existing data quality and propose relevant basic concepts. This paper takes Shanghai Ocean University (SOU) digital campus construction as an example to show the actual application of UIS data integration.