摘要：

人工智能(AI)的快速发展已为众多领域赋能, 对社会带来了深远的影响, 其出色的处理效果、广泛的适用性以及强大的扩展能力, 为高校信息化服务提供了坚实的技术基础。从AI和高校信息化的发展史出发, 探讨了两者的发展历程及其关联, 在国内外高校信息化建设中, 尽管各自对AI的关注点有所不同, 但均展现了其在提升教育质量、优化管理流程等方面的巨大潜力。从聚焦高校信息化建设者的角度, 在教师教学、学生学习、学校管理、教学评估、智能考试等五大核心领域, 详尽归纳并分析了AI赋能高校信息化中的典型应用案例, 展现了其如何有效提升教育质量与管理效率, 同时指出了AI在高校信息化应用过程中可能面临的数据隐私保护、算法偏见、技术依赖风险等问题, 列举了常见的应对策略, 如加强数据安全防护、优化算法透明度与公平性、培养师生信息素养等。基于这些分析, 进一步展望了AI在高校信息化中的未来优化方向, 强调技术创新与伦理规范并重, 倡导建立跨学科合作机制, 共同推动AI技术在高校信息化领域的健康、可持续发展。

关键词: 人工智能, 高校信息化, 个性化学习, 精细化管理, 校园安全

Abstract:

The rapid development of Artificial Intelligence (AI) has empowered numerous fields and significantly impacted society, establishing a solid technological foundation for university informatization services. This study explores the historical development of both AI and university informatization by analyzing their respective trajectories and interconnections. Although universities worldwide may focus on different aspects of AI in their digital transformation efforts, they universally demonstrate vast potential of AI in enhancing education quality and streamlining management processes. Thus, this study focuses on five core areas: teaching, learning, administration, assessment, and examination. It comprehensively summarizes typical AI-empowered application cases to demonstrate how AI effectively improves educational quality and management efficiency. In addition, this study highlights the potential challenges associated with AI applications in university informatization, such as data privacy protection, algorithmic bias, and technology dependence. Furthermore, common strategies for addressing these issues such as enhancing data security, optimizing algorithm transparency and fairness, and fostering digital literacy among both teachers and students are elaborated upon in this study. Based on these analyses, the study explores future research directions for AI in university informatization, emphasizing the balance technological innovation and ethical standards. It advocates for the establishment of interdisciplinary collaboration mechanisms to promote the healthy and sustainable development of AI in the field of university informatization.

Key words: Artificial Intelligence (AI), university informatization, personalized learning, delicacy management, campus security