高校学生人工智能素养能力现状及影响因素多维分析

doi:10.13366/j.dik.2024.03.038

图书情报知识 ›› 2024, Vol. 41 ›› Issue (3): 38-48.doi: 10.13366/j.dik.2024.03.038

• 二十大精神研究阐释与践行·人工智能素养教育 • 上一篇下一篇

高校学生人工智能素养能力现状及影响因素多维分析

周琼^1,2，徐亚苹^1,2，蔡迎春^1,2

1.上海外国语大学图书馆，上海，201620；
2.上海外国语大学数字学术中心，上海，201620

出版日期:2024-05-10 发布日期:2024-07-04
通讯作者: 徐亚苹（ORCID：0000-0003-4800-9621），硕士，馆员，研究方向：信息行为、数字素养教育，Email:xyp@shisu.edu.cn。
作者简介:周琼（ORCID：0000-0001-5865-9332），博士，副研究馆员，研究方向：信息行为、数字素养教育，Email:1808@shisu.edu.cn；蔡迎春（ORCID：0000-0002-7736-2267），博士，研究馆员，研究方向：数字人文、数字素养教育，Email:cyingc@shisu.edu.cn。
基金资助:
本文系上海外国语大学国家安全教育研究中心基金项目“高校学生网络虚假信息甄别能力提升研究”（2023YB006）和中央高校基本科研业务费资助的上海外国语大学校级青年项目“虚假信息甄别影响因素模型构建研究”（2022114031）的研究成果之一。

An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors

ZHOU Qiong^1,2， XU Yaping^1,2， CAI Yingchun^1,2

1. Shanghai International Studies University Library, Shanghai, 201620;
2. Digital Scholarship Center of Shanghai International Studies University, Shanghai, 201620

Online:2024-05-10 Published:2024-07-04
Contact: Correspondence should be addressed to XU Yaping, Email:xyp@shisu.edu.cn, ORCID:0000-0003-4800-9621
Supported by:
This is an outcome of the project "Research on Improving the Ability of High Education Students to Identify Misinformation on the Internet"（2023YB006）supported by a grant from the National Security Education Research Center of Shanghai International Studies University and the University-Level Youth Project of Shanghai International Studies University "Construction of a Model for the Impact Factors of Misinformation Identification"（2022114031）supported by the fundamental Research Funds for the Central Universities.

摘要/Abstract

摘要： [目的/意义]深入研究大学生AI素养能力现状以及其与实际应用、态度、兴趣等因素之间的关系，探讨高校在AI时代培养学生拥有良好AI素养的可行性与举措，为推动AI素养教育提供实证支持和理论指导。[研究设计/方法]采用定量研究方法，通过调查和数据分析，分析了高校学生的AI素养水平现状以及其与教育培训背景、实际应用经验、态度和兴趣之间的相关性。研究设计强调实践性经验对于提高学生AI素养水平的关键性作用，并多角度考察了教育培训、学科背景、态度、兴趣等因素对AI素养的影响。[结论/发现]在数字化时代，实践性经验对于提高高校学生的AI素养水平至关重要。通过实际使用AI技术或产品，学生更容易将理论知识转化为实际技能，全面提升其在AI素养方面的水平。此外，学生的积极态度、兴趣与AI素养之间呈正相关性关系。[创新/价值]为高校学生AI素养水平测量提供了有针对性的量表，并验证了影响AI素养水平高低的因素。为未来深入探讨AI实际使用与理论学习之间关系、设计有针对性的教育培训框架提供了基础。

关键词: 人工智能素养, 高校学生, 教育培训, 态度, 兴趣

Abstract: [Purpose/Significance] This study aims to delve into the current status of AI literacy among high education students and its correlation with practical application, attitude, interest, and other factors, explore the feasibility and measures for high education institutes to cultivate students' AI literacy in the era of AI, and provide empirical support and theoretical guidance for advancing AI literacy education. [Design/Methodology] Employing quantitative research approaches, this study conducts an analysis of the current AI literacy level among high education students and its correlation with their educational and training backgrounds, practical application experience, attitude, and interest through surveys and data analysis. This research design emphasizes the crucial role of practical experience in enhancing students' AI literacy level, and also examines the impact of factors such as educational backgrounds, disciplinary background, attitude, and interest on AI literacy from various perspectives. [Findings/Conclusion] In the digital era, practical experience plays a vital role in enhancing the AI literacy level of high education students. By actively engaging in the practical use of AI technologies or products, students can more effectively translate theoretical knowledge into practical skills and thereby comprehensively elevate their AI literacy level. Furthermore, there exists a positive correlation between students' positive attitudes, interests, and AI literacy. [Originality/Value] The study presents a targeted scale for assessing the AI literacy level of high education students and examines the factors influencing AI literacy. It lays the groundwork for future in-depth exploration of the correlation between practical application of AI and theoretical learning, as well as developing a tailored educational training framework.

Key words: AI literacy, University students, Education and training, Attitudes, Interests

周琼, 徐亚苹, 蔡迎春. 高校学生人工智能素养能力现状及影响因素多维分析[J]. 图书情报知识, 2024, 41(3): 38-48.

ZHOU Qiong, XU Yaping, CAI Yingchun. An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors[J]. Documentation, Informaiton & Knowledge, 2024, 41(3): 38-48.

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高校学生人工智能素养能力现状及影响因素多维分析

An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors

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