人工智能视域下大学生网络素养培育机制研究

Research on Mechanisms for Cultivating College Students’ Digital Literacy in the Context of Artificial Intelligence

摘要: 人工智能已深度介入大学生知识习得与生产的全过程，对其网络素养的培育提出了更高的要求。当前，大学生网络素养存在显著的差异化特征：对AI信息的甄别能力不足、算法认知与批判意识薄弱、数据伦理与隐私保护观念欠缺、虚拟交往行为失范与数字公民意识模糊。与此同时，人工智能的快速发展也给大学生网络素养培育带来了新的契机：其出场逻辑重构了教育资源供给模式，交互逻辑革新了教学范式与认知路径，效能逻辑能实现精准培育与风险预警。基于此，文章提出从课程教学、实践训练与协同育人三个维度，构建“分层递进 + 螺旋上升”的课程教学机制、“人机协同 + 场景赋能”的实践训练机制，以及“家校社网”四位一体的协同联动机制，以系统化路径破解人工智能视域下大学生网络素养的培育困境。

Abstract: Artificial intelligence has deeply integrated into the entire process of knowledge acquisition and production among college students, placing higher demands on cultivating their digital literacy. Currently, college students exhibit significant disparities in digital literacy: inadequate ability to discern AI-generated information, weak understanding of algorithms and critical awareness, insufficient concepts of data ethics and privacy protection, unregulated virtual interactions, and blurred digital citizenship consciousness. Simultaneously, the rapid advancement of AI presents new opportunities for cultivating students’ digital literacy: its emergence logic reconfigures educational resource provision models, its interactive logic innovates teaching paradigms and cognitive pathways, and its efficacy logic enables precision cultivation and risk early warning. Based on this, this paper proposes a systematic approach to address the challenges in cultivating college students’ digital literacy in the context of artificial intelligence. This approach involves three dimensions: curriculum instruction, practical training, and collaborative education. Specifically, it proposes establishing a “disciplinary integration + phased progression” curriculum mechanism for instruction, a “human-machine collaboration + scenario-based empowerment” mechanism for practical training, and a “family-school-society-network” four-in-one collaborative linkage mechanism.