scholarly journals A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhen Yang ◽  
Muhammad Talha
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
College Counseling ◽  
Colleges And Universities ◽  
Information Resources ◽  
Ideological And Political Work ◽  
College Counselors ◽  
Education Management ◽  
Management Platform ◽  
Student Management

The purpose of this article is to perform in-depth research and analysis on the artificial intelligence coordination and optimization mechanism of college counseling student management using big data technology. This study places the collaborative ideological and political work of colleges and universities in the context of big data, and by analyzing its basic connotation and changes in the real situation, it explores the development progression of colleges and universities making full use of big data resources to cultivate a collaborative education model, which is conducive to promoting colleges and universities to cultivate a whole staff, whole process, and all-round accurate ideological education and value-led services and to shape excellent young college students with comprehensive growth. The first is to scientifically build a multilevel linked big data management platform for counselor professionalization construction, plan the technical architecture of the organizational platform, build a cloud database of counselor career files, and extract valuable information and data from the organizational activities at the macrolevel and personal activities at the microlevel with counselor professionalization construction activities; the second is to realize the integrated application of information resources for counselor team construction. The second is to realize the integrated application of counselor team construction information resources, visualise and accurately analyze and evaluate the counselor group’s focus on career development and individual counselors’ feedback on career capacity construction, and improve the overall construction, personalized education management level, and self-improvement development ability. Fourth, in the professionalization of counselors, attention should be paid to the scientific selection and prevention of risks of big data application, ensuring the authenticity and reliability of data and leakage prevention and control, etc.

Big data intelligence for smart educational management systems

2020 ◽  
pp. 1-10
Author(s):  
Chao Fu ◽  
Hao Jiang ◽  
Xi Chen
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
University Education ◽  
Management Systems ◽  
Management Innovation ◽  
Educational Management ◽  
Education Management ◽  
Student Management ◽  
The Times ◽  
Management Work

Under the background of big data era, great changes have taken place in the education management of colleges and universities with the application of big data, and the trend of education management informatization is increasingly obvious. Therefore, in the wave of big data, the education management work will also undergo earth shaking changes. Colleges and universities should also keep up with the trend of the times, optimize and adjust the education management work, ensure that the student management work can meet the management needs of the era of big data, effectively improve various education management work, and provide better and better services for students. Starting from the introduction of the connotation, characteristics and value of big data, based on the development status of university education management in the era of big data, this paper mainly analyzes the great significance of big data to the innovation of university education management and the challenges it faces, and finally analyzes the specific path of big data in university education management innovation.

Reform and innovation of artificial intelligence technology for information service in university physical education

2020 ◽  
pp. 1-11
Author(s):  
Jianye Zhang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Physical Education ◽  
Information Service ◽  
Management Decision ◽  
Negative Effects ◽  
Education Management ◽  
Depth Analysis ◽  
Artificial Intelligence Technology ◽  
The Difference

This article analyzes the reform of information services in university physical education based on artificial intelligence technology and conducts in-depth and innovative research on it. In-depth analysis of the relationship between big data and the development and application of information technology such as the Internet, Internet of Things, cloud computing, to clarify the difference and connection between big data, informatization and intelligence. Artificial intelligence will bring opportunities for changes in data collection, management decision-making, governance models, education and teaching, scientific research services, evaluation and evaluation of physical education in our university. At the same time, big data education management in colleges and universities faces many challenges such as the balance of privacy and freedom, data hegemony, data junk, data standards, and data security, and they have many negative effects. In accordance with the requirements of educational modernization, centering on the goal of intelligent and humanized education management, it aims existing issues in college physical education management.

Big data based research on the management system framework of ideological and political education in colleges and universities

2020 ◽  
pp. 1-10
Author(s):  
Yuejun Xia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Big Data ◽  
Ideological And Political Education ◽  
Political Education ◽  
Representative Point ◽  
Point Sets ◽  
Mining Technology ◽  
Education Management ◽  
Intelligence System

Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice.

scholarly journals Selection Method of Network Ideological and Political Education Resources under Big Data

2021 ◽  
Vol 5 (6) ◽  
pp. p1
Author(s):  
Siqi Zhang
Keyword(s):  
College Students ◽  
Big Data ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Access To Information ◽  
Network Resources ◽  
Ideological And Political Work ◽  
Network Information ◽  
Political Work

The continuous development of network information technology has prompted people to use big data to process information in order to improve work efficiency. All kinds of data are affecting people’s lives. Under the background of the big data era, college students’ values, studies and lifestyles, and access to information have changed obviously. Therefore, colleges and universities should make full use of the convenience of information in the era of big data to improve the informatization of ideological and political work in colleges and universities. The ideological consciousness and values of contemporary college students are strongly impacted by big piece of data. Based on the characteristics of big data, this paper conducts research and analysis on ideological and political education in colleges and universities in the era of big data, and makes full use of network resources to improve the ability of ideological and political education.

scholarly journals The Use of Artificial Intelligence Combined with Cloud Computing in the Design of Education Information Management Platform

2021 ◽  
Vol 16 (05) ◽  
pp. 32
Author(s):  
Qiang Li
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Educational Administration ◽  
Stress Test ◽  
Data Access ◽  
Practical Significance ◽  
Collaborative Management ◽  
Test Results ◽  
Education Management ◽  
Management Platform

Based on cloud computing theory and service-oriented architecture (SOA) design pattern, a smart education management platform is designed by using cloud computing and artificial intelligence technology. The platform is deployed in the server cluster environment, with Hadpoop managed storage cluster as the data storage center. For the education management, education portal and remote classroom, the corresponding services are launched, which has the advantages of intelligent and efficient, massive data access and intelligent collaborative management. The test results show that the platform can be used normally in the ports of computer, mobile phone and tablet computer, and can successfully complete the basic operations such as user registration and login, educational administration, and content storage. The results of database stress test show that the total time consumption of sequential read, sequential write, random read and random write is 752s, 312s, 968s and 211s, respectively when millions of simulated data are inserted into the database, which indicates that the database can support large-scale data access. The stress test results of content storage service show that when the number of clients is adjusted to 500, 1000 and 3000, the output quantity of each read-write interface can be maintained at about 3500 pages/min in 60s, indicating that the system can still run stably under the condition of high concurrency. The management platform discussed has practical significance to promote the development of intelligent and information-based education management.

The Role Orientation of College Counselors in Group Crisis Events

2020 ◽  
Vol 9 (4) ◽  
pp. 224
Author(s):  
Yao Lu
Keyword(s):  
College Students ◽  
Colleges And Universities ◽  
College Campuses ◽  
Role Orientation ◽  
College Counselors ◽  
Campus Environment ◽  
Student Management ◽  
Crisis Events ◽  
The Face ◽  
The Stability

The stability of colleges and universities is closely related to the stability of the country and society. Counselors play an extremely important role in the daily management of colleges and universities. Colleges and universities are an important part of society. Multiple social conflicts will affect and project on colleges and universities, which at the same time leads to the difficulty of student management, especially in the face of group crisis events. The school needs to respond quickly, and counselors promptly and effectively intervene to minimize the damage caused by the crisis event, which is of great significance for maintaining the stability of college campuses. In the crisis of college students, college counselors should strengthen their role positioning, maximize their functions and realize their value, so as to effectively reduce the incidence of college crisis events and create a healthier and safer campus environment for college students.

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

2021 ◽  
pp. 002072092110020
Author(s):  
Fei Bian ◽  
Xuansheng Wang
Keyword(s):  
Higher Education ◽  
Big Data ◽  
College Education ◽  
Education Administration ◽  
Education Management ◽  
Student Management ◽  
Higher Education In China ◽  
The Stability ◽  
The Impact ◽  
Education In China

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.

University online education file management under the background of big data

2021 ◽  
pp. 1-7
Author(s):  
Yun Hong ◽  
Yuchan Chen
Keyword(s):  
Big Data ◽  
Online Education ◽  
Evaluation Model ◽  
Rapid Development ◽  
Reference Value ◽  
Colleges And Universities ◽  
Information Resources ◽  
Network Education ◽  
University Archives ◽  
The Times

With the rapid development of computer communication technology, the level of archives information services in colleges and universities continues to improve. More and more universities have created archives management halls to promote digital archives services in depth. As an important part of information resources, the development and use of archive information resources have also attracted the attention of all walks of life. University archives are the pioneers in the development of archives in my country, and their computerization level will directly affect the development and utilization of information resources in my country’s archives. This article aims to analyze the management of online education archives in colleges and universities under the background of big data, analyze the management of online education archives in colleges and universities, and explore the management of archives under the background of online education in colleges and universities. Use the university network archives construction evaluation model calculation and investigation research method to study the current situation and mode of university network education archives management, and provide reference value for the rational connection of various tasks of university network education archives management under the background of big data. The experimental results of this article show that 55% of college students believe that the current college archives need to be combined with the requirements of the development of the times, and it is necessary to innovate the archive management methods of colleges and universities to improve the quality of archive management services in universities and ensure the real-time storage of network information and maximize the development of archive information the value of.

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