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Analysis of University Students' Learning Behaviour against the Background of DeepSeek's Viral Popularity

Author(s)

Minjing Li, Lulu Mei, Junxi Shi, Xiaoling Su*

Affiliation(s)

School of Economics, Management and Law, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China *Corresponding Author

Abstract

Facing the wildly popular DeepSeek and the surge of AI development, the behavior of university students' learning is gradually changing. Therefore, it is of great significance to explore this new phenomenon deeply. This study uses questionnaire and face-to-face interview methods to collect information from university students by questionnaire, and then analyzes the collected information from the perspectives of applied economics and educational technology. This study found that there are four features of students' learning behavior: using intelligent tools, lowering learning threshold, efficient learning and learning in the environment of AI. The reasons for these phenomena are analyzed from the perspective of technical society and individual psychology. This study also found that there are some problems in the process of students' learning behavior, such as over-reliance on AI, risk of academic ethics and other problems. Finally, this study puts forward some corresponding suggestions for guiding the scientific learning behavior of students from the perspective of society, school, family and individual. These suggestions are valuable for the healthy development of AI.

Keywords

DeepSeek; AI-Assisted Learning; University Student Learning Behaviour; Learning Recommendations

References

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