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基于大语言模型的库伯经验学习模式在计算机安全导论课程中的应用

Application of the Kolb experiential learning model based on large language models in the course “Introduction to computer security”

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【作者】 闫巧庄佳霖钟圣华

【Author】 Qiao Yan;Jialin Zhuang;Shenghua Zhong;College of Computer Science and Software Engineering, Shenzhen University;

【机构】 深圳大学计算机与软件学院

【摘要】 分析大语言模型在库伯经验学习模式中的应用,提出一种基于大语言模型的库伯经验学习教学模式,阐述如何将大语言模型的语言理解能力和个性化交互能力引入库伯学习的具体体验、反思观察、抽象概念化和主动实验4个阶段,以计算机安全导论课程为例,介绍该教学模式的实践过程,并通过课程教学结果分析,说明大语言模型的引入能够显著提高学生的满意度和自主学习能力。

【Abstract】 Analyze the application of large language models (LLMs) within the Kolb experiential learning model.It proposes a Kolb experiential learning teaching model based on LLMs,leveraging their language comprehension and personalized interaction capabilities.The model integrates LLMs into the four stages of Kolb’s learning cycle:concrete experience,reflective observation,abstract conceptualization,and active experimentation.Using the “Introduction to computer security” course as an example,the application of the proposed teaching model is demonstrated through the instruction.The course results show that the introduction of LLMs significantly enhances student satisfaction and autonomous learning capabilities.

  • 【文献出处】 计算机教育 ,Computer Education , 编辑部邮箱 ,2025年08期
  • 【分类号】G642.3;TP309-4
  • 【下载频次】34
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