Challenges and Strategies of Student Management in Universities in the Context of Big Data

Abstract

As the most active and knowledge-intensive university, the forefront of the use of network information technology, the education, management, and service mode of the school, and the ideology, learning methods, and behavioural habits of teachers and students will be profoundly affected by the era of big data. The current form of student management in universities is too old and needs to be replaced by a new management system. With the promotion of the construction of smart campus, the rapid development of big data technology has realised the innovation of student management in colleges and universities. This paper takes students of Wuhan University as the research object. By collecting various application data in the campus information system, the K-means algorithm in cluster analysis is used to classify students’ campus behavioural characteristics, and then the Apriori algorithm is used to correlate students’ behavioural characteristics with their academic performance. The experimental results show that there is a close relationship between the consumption behaviour, work and rest behaviour, study behaviour characteristics of different student groups, and their academic performance. Using the results of these analyses, universities can adopt differentiated management measures for different categories of students, which can help improve students’ academic performance as well as further enhance the efficiency of student management.

The Making of Smart Campus: A Review and Conceptual Framework

“…In addition, versatile learning is characterized by its predominant benefit of borderless delivery providing learning opportunity to all societies' segments [91]. Moreover, a high-end form of education system with remote, personalized, and ubiquitous features is created [25], including smart classrooms for modernized learning integrating IT (information technology) [95]. However, online learning has certain disadvantages, such as monotonous delivery, lack of sharing knowledge, insufficient education evaluation standards, which leads to a decrease in motivational drive for students [99].…”

“…These technologies provide a robust security system needed to protect the data governance function for the information framework in a university [117]. In addition, big data information is required for decision-making and development [25] which is effectively managed by blockchain technology [49]. Moreover, there is an open extensible architecture to support service integration and creation [59].…”

“…"Is the high-end form of education systems." [25] (p. 16145) "To integrate information technology into teaching and education to provide a teaching environment with network, data, integration, and intelligence." [26] (p. 450)…”

“…Furthermore, external stakeholders are now able to participate in defining higher education institutions external interests [86]. Moreover, a new management system is developed to replace the present system, which has become obsolete [25]. On the other hand, robust systems technologies were developed, including a novel DMS (disaster management system) called the Named Data Networking Disaster Management (NDN-DM) [87], and a surveillance system for enabling safer space [88].…”

“…Hence, universities are encouraged to fully implement measures to manage large amount of information through big data technology for decision-making and development. The research, therefore, suggests a focus on development of student management systems using big data technology in smart campus [25]. Finally, big data management is effectively managed by blockchain technology which is found to be vital for creating advanced solutions where university leaders are embracing as a robust solution [49].…”