
人工智能背景下的高等学校知识服务体系——基于软知识化人才培养
Knowledge Service System of Higher Education Institutions in the Context of Artificial Intelligence: Focusing on the Cultivation of Soft Knowledge Talent
[目的/意义] 当前高校面临着人工智能所带来的机遇挑战与“双一流”建设的双重压力,实现人工智能助力高质量人才培养与高质量学科建设,意义重大。[方法/过程] 从(软)知识化与知识服务视角,基于高校现实出现的问题与人才培养首位性、软知识成就学生和教师个体独一无二的特性,以及管理者、教师与学生竞争机制配置特点,以问题为导向分析人工智能及其背景下高等教育“软知识化”,以及软知识与人工智能共生互补的本质特征。同时,以软知识化人才培养作为高校破解双重压力的必然选择与突破口,分析高校软知识化人才培养的使命,进而构建基于知识化人才培养的知识服务体系。[结果/结论] 高校尤其普通高校,通过实施基于知识服务的因材施教与因教施服,以及助力软知识化人才培养的开放合作、文理融合和文理分类调整,将有助于提高(本科)人才培养质量与水平,培养出具有独特的软知识、具有竞争力的人才,尤其是具有强大潜力的文理兼修的高端创新人才,在双重压力竞争中立足,实现其具有特色或优势的稳定健康可持续发展,为人工智能时代下国家高水平安全保障高质量发展培养人才作出应有的贡献。
[Purpose/Significance] Currently, universities are facing both opportunities and challenges brought by artificial intelligence (AI), as well as dual pressures in the construction of "Double First Class" universities. Achieving the assistance of AI in cultivating high-quality talents and building high-quality disciplines is of great significance. [Method/Process] From the perspective of (soft) knowledgeization and knowledge services, this paper took a problem-oriented approach to analyze artificial intelligence and “soft knowledgeization” of higher education., and reveal its essential symbiotic relationship with AI, based on the real challenges faced by universities, the priority of talent cultivation, the distinctive characteristics of soft knowledge that influence students and faculty, and the competitive dynamics among administrators, educators, and students. Based on the cultivation of soft knowledge talents as the inevitable choice and breakthrough for universities to alleviate dual pressures, the study analyzed the mission of soft knowledge talents cultivation and proposed a knowledge service system to support this educational approach. [Result/Conclusion] By implementing customized educational strategies grounded in knowledge services, fostering open collaboration, and integrating liberal arts and sciences, universities—particularly undergraduate institutions—can improve the quality of talent training. This approach aims to develop unique, competitive individuals equipped with strong soft knowledge and nurture high-end innovative talents with a robust foundation in both liberal arts and sciences. Ultimately, this strategy promotes sustainable development amid dual pressures competition, contributing to the cultivation of talents essential for high-level security and quality development in the era of artificial intelligence.
artificial intelligence / higher education institutions / knowledge service system / soft knowledge talent
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