高阶思维导向的“统计学”实验教学策略
Higher-Order Thinking Oriented Strategies for Experimental Teaching of Statistics Course

实验教学在大学生高阶思维培养中扮演着重要角色。然而，统计学课程的实验教学普遍存在着高阶性不足、实战性不强以及缺乏足够练习等问题。为解决这些问题，提出了“四位一体”实验教学策略。主要包括优化设计实验教学内容、创设虚拟仿真实战环境，以提升实验教学的高阶性和实战性；同时，引入了结合AI工具的混合式实验教学模式和反思自评环节，有针对性地解决了“讲多练少”的问题。这些措施的有效实施有助于促进学生高阶思维能力的培养。
Experimental teaching plays a crucial role in fostering higher-order thinking among university students. However, statistical course experiments commonly suffer from insufficient higher-order thinking, lack of practical application, and inadequate practice opportunities. To address these issues, this paper proposes a “Four-in-One” experimental teaching strategy. This strategy focuses on optimizing the design of experimental teaching content, creating virtual simulation environments for practical applications, and enhancing both the higher-order thinking and practical aspects of experimental teaching. Additionally, it introduces a hybrid experimental teaching mode incorporating AI tools and a reflection and self-assessment component to specifically address the issue of insufficient practice opportunities. Implementation of these measures effectively promotes the cultivation of higher-order thinking abilities among students.