Issue |
SHS Web Conf.
Volume 220, 2025
2025 2nd International Conference on Language Research and Communication (ICLRC 2025)
|
|
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Article Number | 04005 | |
Number of page(s) | 6 | |
Section | AI and Technology-enhanced Language Education | |
DOI | https://doi.org/10.1051/shsconf/202522004005 | |
Published online | 13 August 2025 |
Research on AI Application Ability of College Students in Digital Context
School of Intercultural Studies, Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
* Corresponding author: shuzhi@jxnu.edu.cn
With the rapid development of generative Artificial Intelligence, such as DeepSeek and ChatGPT, college students’ ability to apply AI has become an important ability to adapt to technological changes and career needs. This study uses a quantitative research method to analyze the current status of students’ AI application capabilities in a digital context. The survey results show that students have relatively good performance in basic skills such as tool operation, information retrieval and security protection. However, students have obvious disadvantages in content creation and problem solving such advanced abilities. Based on this, this study makes the following suggestions. At the level of education guidance, education should strengthen teaching on the innovative application of generative AI tools and use project-based learning to cultivate college students’ problem-solving abilities. In addition, educational content should pay attention to the cultivation of ethical education, strengthen college students’ awareness of digital copyright and academic integrity education, etc. Teachers should apply AI tools to the design of teaching content, incorporate the application capabilities of AI tools into teaching practice, etc. Of course, college students should also take the initiative to learn how to apply AI tools and strictly regulate their academic behaviors.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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