陕西开放大学学报

算法推荐技术作为人工智能时代内容传播的核心技术,深刻影响当代德育样态的变化。基于“功能-风险-治理”的三重逻辑框架,可系统性地剖析算法推荐技术对青少年道德发展的深刻影响。在价值层面上算法推荐技术通过用户建模实现个性化精准内容推送,以技术赋能为驱动力推动传播范式转型,显著提升分发效率,并依托数字空间重构青少年的社会化过程。在风险表征上,算法推荐技术也存在诸如内容生产导向失衡导致认知偏离、传播生态复杂性引发价值失真、浅层次价值判断引发行为失范等风险因子。为实现立德树人的根本任务,在实践上应优化人机协同机制以赋能内容治理、构建良性网络环境以实现正向价值引导、完善多元共治体系以增强青少年的道德判断力。

As the core technology of content dissemination in the AI era, algorithmic recommendation technology profoundly influences the transformation of contemporary moral education modalities. Grounded in a tripartite logical framework of “value-risk-practice”, this study systematically analyzes the far-reaching impact of algorithmic recommendation technology on adolescent moral development. At the value level, algorithmic recommendation technology achieves personalized and precise content delivery through user modeling, drives paradigm shifts in communication through technological empowerment, significantly enhances distribution efficiency, and reconstructs adolescents' socialization processes within digital spaces. Regarding risk manifestations, algorithmic recommendation technology also exhibits various risk factors, including cognitive deviation stemming from imbalanced content production orientation, value distortion arising from the complexity of the communication ecosystem, and behavioral deviance resulting from superficial value judgments. To fulfill the fundamental mission of fostering virtue and nurturing talent, practical measures should optimize human-machine collaboration mechanisms to empower content governance, construct a clean and wholesome online environment to realize positive value guidance, and improve multi-stakeholder governance systems to enhance adolescents' moral judgment capacity.