Research on the assessment of project-driven immersion teaching in extreme programming with neutrosophic linguistic information
Research on the assessment of project-driven immersion teaching in extreme programming with neutrosophic linguistic information
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DOI：
10.1007/s13042-022-01669-6
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发表时间：
2022-10
影响因子：
5.6
通讯作者：
Xindong Peng;Jingguo Dai;F. Smarandache
中科院分区：
文献类型：
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作者：
Xindong Peng;Jingguo Dai;F. Smarandache
在极限编程中对项目驱动的浸入式教学进行评估，对于减少实施前文档的工作量，使学生能够尽快看到项目实施结果，极大地提高学生的学习主动性，更好地理解软件工程课程体系至关重要。在评估极限编程项目驱动式沉浸式教学的教学效果时，主要问题涉及到很大的不确定性。中性语言集是一种捕捉不确定性的有效工具，由语言变量的三个隶属度来描述。本文采用critical （Criteria Importance Through Inter-criteria Correlation）方法计算客观权重，同时反映主观信息和客观信息确定综合权重。然后，提出了基于CoCoSo （Combined Compromise Solution）的中性语言多准则决策算法（MCDM）来解决反直觉现象。最后，通过项目驱动的浸入式教学在极限编程评估中的效果验证了所开发方法的有效性。
The assessment of project-driven immersion teaching in extreme programming is quite vital for reducing the workload of pre-implementation documents, enabling students to see the project implementation results as soon as possible, which can greatly improve students’ learning initiative and better understand the course system of software engineering. When assessing the teaching effectiveness of project-driven immersion teaching in extreme programming, the primary issue involves great uncertainty. Neutrosophic linguistic set, portrayed by three membership degrees to linguistic variable, is an effective tool to seize uncertainty. In this paper, the objective weight is calculated by CRITIC (Criteria Importance Through Inter-criteria Correlation) method while the integrated weight is determined by synchronously reflecting subjective information and objective information. Then, neutrosophic linguistic MCDM (Multi-Criteria Decision Making) algorithm based CoCoSo (Combined Compromise Solution) is presented for solving counterintuitive phenomenon. Lastly, the effectiveness of the developed method is verified by the effect of project-driven immersion teaching in extreme programming assessment.