The Application of Big Data Technology and Method in Moral Education in Colleges and Universities

2018 ◽  
Author(s):  
Xi Fang ◽  
Juanjuan Wang
Keyword(s):  
Big Data ◽  
Moral Education ◽  
Colleges And Universities ◽  
Big Data Technology

scholarly journals Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaoge Jia
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Research Method ◽  
Colleges And Universities ◽  
Teaching Activities ◽  
English Teaching ◽  
Comprehensive Development ◽  
Technology And Teaching ◽  
Big Data Technology

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

scholarly journals Analysis on the Training Strategies of University Library Service Talents under the Concept of "Three-all Education" in the New Era

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Yingli Lu
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Practical Significance ◽  
Staff Education ◽  
Library Service ◽  
New Era ◽  
Service Personnel ◽  
Educational Concept ◽  
College Library ◽  
Big Data Technology

Embracing the challenge and mission of the new era, colleges and universities, as an important battle filed for cultivation of talents, should be guided by the educational concept of "Three-all Education", to train and transport outstanding talents for the country. Based on the concept of "Three-all Education" and centering on the innovative ability of college library service personnel training, this paper utilizes big data technology and means to realize the idea of "all-process education, all-staff education and all-round education", and explores the cultivation strategies for college library service personnel, which not only meets the urgent needs of college reform and development. It is also of great practical significance to cultivate young talents in the new era.

scholarly journals Application of Big Data Technology in College Information Construction

2019 ◽  
Vol 25 ◽  
pp. 04005
Author(s):  
Wei Deng
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Typical Application ◽  
Information Construction ◽  
College Information ◽  
Normal University ◽  
Technological Means ◽  
Big Data Technology

As a new technological means, big data plays an important role in the construction of intelligent campus in Colleges and universities. Taking Shaanxi Normal University as an example, this paper introduces the development of college information construction, and elaborates on the typical application scenarios of big data in colleges.

scholarly journals Research on the Reform of Teaching Management Emergency Mechanism in University Based on Big Data

2020 ◽  
Vol 3 (4) ◽  
pp. 1
Author(s):  
Na Luo ◽  
Zhuzhu Wang ◽  
Xing Yin ◽  
Ang Li
Keyword(s):  
Big Data ◽  
Emergency Response ◽  
Colleges And Universities ◽  
Advanced Technology ◽  
Independent Colleges ◽  
Teaching Resources ◽  
Teaching Management ◽  
Health Events ◽  
Management Work ◽  
Big Data Technology

Sudden major public health events once again test the ability of the whole society to deal with emergencies. Universities are no exception. There are many kinds of management work in Colleges and universities, among which teaching management is the most important one, which is also one of the most affected in this epidemic situation. Therefore, in view of the problems of teaching management in Colleges and universities exposed in the epidemic, combined with the characteristics of independent colleges, starting from the aspects of teaching guarantee mechanism, teaching supervision mechanism, teaching process construction, teaching resources construction and so on, the advantages of big data technology, such as large amount of information, easy to communicate and easy to integrate, are fully used to put forward a set of open-minded, perfect mechanism and advanced technology teaching management emergency response mechanism.

scholarly journals Prediction of College Employment Rate Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xuhui Dong
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Fog Computing ◽  
Colleges And Universities ◽  
Edge Computing ◽  
Hunan Province ◽  
Employment Rate ◽  
Network Cluster ◽  
The Individual ◽  
Big Data Technology

This paper uses big data technology to predict the employment rate of colleges and universities. In this paper, combined with the current rental price, daily life consumption, and college students’ personal interests and hobbies consumption and other indicators, the individual is simulated by big data, and the individual is associated by using the AI-driven edge fog computing service optimization algorithm to form a cluster, so as to realize the prediction from element to neural network cluster by using edge computing. In addition, this paper takes the employment data of colleges and universities in Hunan province from June 2020 to May 2021 as the research sample to test the prediction model and makes a comparative analysis with the CNN model and LSTM model. The edge fog computing model in this paper has more analytical indexes as tuples compared to the CNN model, so the results show that the prediction accuracy can reach 83.25%. In this case, there is little difference between the two models of data processing and predictive efficiency. Compared with the LSTM based classification prediction model, this model is edge computing, which greatly improves the data quality of model and data parameters, and the calculation efficiency can be increased by 45%–65%. Therefore, the use of big data technology can provide a reference for the research direction of higher education.

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