混合学习教育问卷的设计与共识内容效度：一种基于2元组模糊语言德尔菲的决策支持工具
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool
AI总结：
提出2元组模糊语言德尔菲法，通过决策模型评估问卷条目共识度、一致性及语言评分，并开发在线工具，以达成混合学习教育问卷的共识性内容效度验证。
摘要：
经典德尔菲法和模糊德尔菲法用于检验问卷等数据收集工具的内容效度。模糊德尔菲法从语言学角度采纳评审专家意见，通过使用模糊数减少意见中的模糊性。我们提出了一种名为2元组模糊语言德尔菲法的扩展方法，以处理评审专家具有不同专业程度的场景，利用语言术语的模糊多粒度语义，并获得以2元组语言值表示的中间及最终结果。我们提案的关键思想是通过评估问卷的各部分来验证整个问卷，将每个条目的效度定义为一个决策问题。采纳专家意见后，我们测量每个条目的共识程度、一致性程度和语言评分，以检测那些对工具质量产生正面或负面影响的条目。考虑到用共识性问卷评估混合学习教育体验的实际需求，我们提出了一种用于问卷验证的决策模型来解决该问题。此外，我们通过开发一个在GPL v3许可证下的在线工具，为这一共识达成问题做出贡献。该软件可视化每次迭代的集体评估，并协助确定问卷的哪些部分应修改以达成共识性解决方案。
英文摘要：
Classic Delphi and Fuzzy Delphi methods are used to test content validity of data collection tools such as questionnaires. Fuzzy Delphi takes the opinion issued by judges from a linguistic perspective reducing ambiguity in opinions by using fuzzy numbers. We propose an extension named 2-Tuple Fuzzy Linguistic Delphi method to deal with scenarios in which judges show different expertise degrees by using fuzzy multigranular semantics of the linguistic terms and to obtain intermediate and final results expressed by 2-tuple linguistic values. The key idea of our proposal is to validate the full questionnaire by means of the evaluation of its parts, defining the validity of each item as a Decision Making problem. Taking the opinion of experts, we measure the degree of consensus, the degree of consistency, and the linguistic score of each item, in order to detect those items that affect, positively or negatively, the quality of the instrument. Considering the real need to evaluate a b-learning educational experience with a consensual questionnaire, we present a Decision Making model for questionnaire validation that solves it. Additionally, we contribute to this consensus reaching problem by developing an online tool under GPL v3 license. The software visualizes the collective valuations for each iteration and assists to determine which parts of the questionnaire should be modified to reach a consensual solution.
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