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Latent Class Modeling of Children’s Preference Profiles on Tangible and Graphical Robot Programming

机译:有形和图形化机器人编程中儿童偏好配置文件的潜在类建模

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Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces.Background: The relevant literature mainly consists of empirical research into the possible advantages and weaknesses of tangible user interfaces versus graphical user interfaces in the domain of programming for children. Research designs have considered aspects of usability, attractiveness and users' collaboration. Existing findings are not clear. Methodological issues, e.g., limitations of simple statistics, may have limited the clarify and usefulness of findings to date. The present study explores children's preferences profiles.Research Questions: Two research questions were posited: the first focused on the latent profiles of children's preferences for the two programming interfaces (tangible or graphical), and the second focused on the association of these profiles with gender and age.Methodology: Children (N = 148) aged from six to 13 years old participated in this paper. Eight variables related to the attractiveness, collaboration, and usability factors for the tangible and graphical programming interfaces were measured and analyzed by Latent Class Analysis, a model-based clustering method that can reveal distinct preference-profiles and associate them with individual differences.Findings: The patterns of responses are consistent across items for both interfaces. The graphical programming interface strongly trisects children's preferences profiles; the three latent profiles encountered were associated with gender and age.
机译:贡献:关于有形和图形用户界面的先前研究报告了有关儿童喜好的有争议的发现。本文显示了他们在入门编程领域中的偏好配置文件与这两个界面的性别和年龄相关联。背景:相关文献主要包括对有形用户界面与图形用户界面在该领域中可能存在的优缺点的实证研究。儿童编程。研究设计已经考虑了可用性,吸引力和用户协作方面。现有发现尚不清楚。方法论问题,例如简单统计的局限性,可能限制了迄今为止研究结果的澄清性和实用性。本研究探讨了儿童的偏好特征。研究问题:提出了两个研究问题:第一个研究重点是针对两个编程接口(有形或图形)的儿童偏好的潜在特征,第二个研究重点是这些特征与性别的关联方法:6至13岁的儿童(N = 148)参加了本文。通过潜在类分析(Latent Class Analysis)测量和分析了与有形和图形化编程界面的吸引力,协作和可用性因素相关的八个变量,该模型是一种基于模型的聚类方法,可以揭示不同的偏好配置并将其与个体差异相关联。两个接口的项目响应模式都是一致的。图形化的编程界面将儿童的喜好配置文件一分为三;遇到的三个潜在特征与性别和年龄有关。

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