生成式人工智能赋能职业院校学生高阶思维能力发展的路径机制与成效评价研究

Research on the Path Mechanism and Effectiveness Evaluation of Generative Artificial Intelligence in Enhancing the Development of Advanced Thinking Abilities of Students in Vocational Colleges

摘要: 聚焦生成式人工智能赋能学生高阶思维能力发展的路径机制与成效评价问题，提出了一种由高层级意识学习能力、深层次问题解决能力和高创新思维能力构成的高阶思维能力评价模型，并据此调研学生思维能力现状发现，其高阶思维能力整体偏弱。为此，提出通过生成式人工智能的资源支持、认知引导、过程反馈等功能的协同促进高层级意识学习能力发展；借助信息提取、问题链生成、多方案比较、实践反馈与反思迁移等提升深层次问题解决能力；依托知识整合、多路径设想、多角色模拟与多模态表达等增强高创新思维能力。此外，为科学评价生成式人工智能的赋能成效，设计了一种由高阶思维能力提升效果、生成式人工智能支持效果感知与赋能功能使用情况构成的评价体系。研究成果将为生成式人工智能赋能学生高阶思维能力培养提供理论依据、路径参考与评价支撑。

Abstract: This paper focuses on the path mechanism and effectiveness evaluation issues of generating artificial intelligence in empowering students’ high-level thinking abilities. It proposes a high-level thinking ability evaluation model composed of high-level awareness learning ability, deep-level problem-solving ability, and high-level innovative thinking ability. Based on this, a survey was conducted to investigate the current status of students’ thinking abilities, and it was found that their high-level thinking abilities are generally weak. Therefore, it is proposed to promote the development of high-level awareness learning ability through the collaborative promotion of functions such as resource support, cognitive guidance, and process feedback provided by generating artificial intelligence; to enhance deep-level problem-solving ability by leveraging functions such as information extraction, problem chain generation, multi-scheme comparison, practice feedback, and reflection transfer; and to strengthen high-level innovative thinking ability by relying on functions such as knowledge integration, multi-path envisioning, multi-role simulation, and multi-modal expression. In addition, to scientifically evaluate the empowerment effectiveness of generating artificial intelligence, an evaluation system composed of the improvement effect of high-level thinking abilities, the perception of the support effect of generating artificial intelligence, and the usage situation of the empowerment function is designed. The research results will provide theoretical basis, path reference, and evaluation support for empowering students’ high-level thinking abilities through generating artificial intelligence.