Analysis of the Current Situation and Driving Factors of College Students' Autonomous Learning in the Network Environment
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Ruikun Zheng, Fei Li, Ling Jiang, Shuman Li
Abstract
Self-directed learning ability is the most important ability for college students to develop independent thinking and constantly master new knowledge. This paper analyzes the current situation and characteristics of college students' autonomous learning in the network environment, the status of autonomous learning resources acquisition, the status of autonomous learning attitude and the status of autonomous learning ability, and it is concluded that the factors driving autonomous learning of college students include perfect supervision mechanism, high-quality online teaching and college students. Finally, this paper puts forward some countermeasures and suggestions to promote college students' autonomous learning in terms of strengthening the construction of study style, constantly exploring new supervised learning modes, improving the quality of platform learning resources, and creating an autonomous learning atmosphere.
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Date 2022-07-20
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