RETRACTED: The effect of big-data on the management of higher education in China and its countermeasures

Abstract

Nowadays, China has got into the era of big-data. In the background of big-data information era, the management of college students in China has undergone certain changes, and the trend of student management informationization is obvious. Universities are momentous places for cultivating talents. The student management work of universities directly affects the quality of talent training and affects the stability of colleges and universities (CAU). The internal structure and external environment faced by higher education are undergoing unprecedented profound changes, bringing many new situations, new problems and new challenges to the supervision of university students. Therefore, college education managers need to show solicitude for the impact of big-data technology on college education management (CEM) and propose corresponding countermeasures to raise the productivity of college education administration. This paper concentrates on the characteristics of big-data. On the basis of investigating the present situation and matters of the development of big-data education administration in CAU in China, this paper explores the countermeasures to raise the innovation of big-data education management (BDEM) in universities in China.

Understanding data-driven decision making approach in Chinese higher education through the lens of Bakers model

“…Furthermore, the software and tools used for data mining and analysis could be more advanced. Various researchers state that the trend of making informed decisions based on data is increasing in Chinese higher education (Bian & Wang, 2021; Ru, 2022; Teng et al, 2022). However, as stated by Yafeng et al (2021), the scope of DDDM in Chinese HEIs is still immature as it is recently evolved.…”

“…The introduction of DDDM in the academic environment also proving effective in ensuring the quality of management decisions (Teng et al, 2022). Various Chinese HEIs have adopted different DDDM models to make informed decisions based on data in the academic environment (Bian & Wang, 2021). However, as the DDDM approach in Chinese HEIs has recently evolved, the models of DDDM in Chinese HEIs are still immature (Yafeng et al, 2021).…”

The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization

“…Bian, F et al believe that in the era of big data and information, a college education is facing change in internal structure and external structure. How to use big data technology to improve the efficiency of student management in colleges and universities is a problem that colleges and universities need to think about at present [11]. Li, Y applies intelligent sensor algorithms in student management in colleges and universities, combines uncertainty theory with multi-sensor data fusion technology, and establishes A multi-sensor data fusion system to improve the effectiveness of student management [12].…”

Artificial intelligence prediction of students' grades and personalized student training mechanism based on campus behavior sequence modeling

“…Students' learning process and daily life in the campus field will produce a lot of data, but these big data do not play its due value [2]. In the educational activities of colleges and universities, students' performance is not only an important standard to evaluate students' ability to learn knowledge, but also a key factor to evaluate teachers' teaching quality [3][4]. Students can freely set curriculum goals and consider many relevant factors.…”