scholarly journals Effective Ways to Cultivate the Autonomous Learning Ability of Minority College Students under the Network Big Data Environment

2020 ◽  
Vol 1648 ◽  
pp. 042115
Author(s):  
Xiaoying Sun ◽  
Liejun Li ◽  
Xiufang Wu
Keyword(s):  
College Students ◽  
Big Data ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Data Environment ◽  
Minority College Students ◽  
Network Big Data

scholarly journals Study on Cultivating College Students' English Autonomous Learning Ability under the Flipped Classroom Model

2020 ◽  
Vol 13 (6) ◽  
pp. 13
Author(s):  
Yanxia Du
Keyword(s):  
College Students ◽  
Flipped Classroom ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Self Management ◽  
Classroom Teaching ◽  
Teaching Model ◽  
College English ◽  
Management Learning ◽  
Self Learning

Since the 21st century, the cultivation and improvement of college students' English autonomous learning ability have become an important symbol of deepening the reform of College English teaching. The reform of teaching model is the critical to it. With the help of the self-constructed flipped classroom teaching model, this paper designs the corresponding teaching process, aiming at investigating the three dimensions of self-management learning ability, self-learning psychology and self-learning behavior of non-English majors. After the investigation and experiment on the control class and the experimental class for the whole semester, the experimental results show that the self-regulated learning model of College English based on the flipped classroom can greatly improve the comprehensive English level of College students, and the flipped classroom teaching model of College English can effectively improve the students' self-management learning ability, stimulate students 'motivation of autonomous learning and activate students' autonomous learning behavior. Thus, it opens up a new path for the cultivation of College Students 'autonomous learning ability.

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

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 659-665
Author(s):  
C. Y. Yang ◽  
J. Y. Liu ◽  
S. Huang
Keyword(s):  
College Students ◽  
Big Data ◽  
Early Warning ◽  
Behavioral Problems ◽  
Early Warning System ◽  
Warning System ◽  
Safety Control ◽  
Education Management ◽  
Data Environment ◽  
Behavior Based

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.

scholarly journals Analysis on Influencing Factors of College Students' Information Ability in Big Data Environment

2021 ◽  
Vol 2 (3) ◽  
pp. 36-42
Author(s):  
Xiaomei Hu ◽  
Yuan Yuan ◽  
Mengjie Wang
Keyword(s):  
College Students ◽  
Big Data ◽  
Information Society ◽  
Rapid Development ◽  
Current Situation ◽  
Actual Situation ◽  
Factors Affecting ◽  
Main Factors ◽  
Data Environment ◽  
Constituent Elements

Information ability is the basis and premise of college students' survival and career development, the condition of their lifelong learning, and the necessary ability of innovative talents. In order to adapt to the rapid development of the current information society, college students, as an important force of social construction, must cultivate good information ability. Firstly, this paper analyzes the position of college students' information ability in the ability structure. Secondly, it analyzes the constituent elements of college students' information ability in the big data environment. Thirdly, it analyzes the current situation of information ability training of economic and management college students under the big data environment. Finally, combined with the actual situation of Anhui University of Finance and Economics, through the questionnaire, this paper investigates and analyzes the current situation of economic and management college students' information ability, in order to explore the main factors affecting college students' information ability.

scholarly journals Study on the strategy of improving self-learning ability of College Students

2019 ◽  
Vol 60 ◽  
pp. 01005
Author(s):  
Liu Ziyu ◽  
Xiao Jing
Keyword(s):  
Higher Education ◽  
College Students ◽  
Education Research ◽  
Social Development ◽  
Colleges And Universities ◽  
The Self ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Higher Education Research ◽  
Self Learning

College students are the main force of social development and construction in China, and at present, autonomous learning is an important topic in higher education research. Therefore, mastering autonomous learning ability is very important for contemporary college students. This paper discusses the reasons that affect college students' self-learning from the aspects of schools, teachers, students and society, and gives the strategies and measures to enhance the self-learning ability of college students according to reasons. It provides useful reference for quality colleges and universities to cultivate students.

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