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首页> 外文期刊>Sustainability >MODELI: An Emotion-Based Software Engineering Methodology for the Development of Digital Learning Objects for the Preservation of the Mixtec Language
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MODELI: An Emotion-Based Software Engineering Methodology for the Development of Digital Learning Objects for the Preservation of the Mixtec Language

机译:MODELI:基于情感的软件工程方法论,用于开发用于保存Mixtec语言的数字学习对象

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In this paper, a methodology termed MODELI (methodology for the design of educational digital objects for indigenous languages) is presented for the development of digital learning objects (DLOs) for the Mixtec language, which is an indigenous Mexican language. MODELI is based on the spiral model of software development and integrates three important aspects for the analysis and design of DLOs: pedagogical, affective-emotional and technological-functional. The premise of MODELI is that the emotional aspect with the inclusion of cultural factors has an important effect on the learning motivation of indigenous users when interacting with the DLO. Principles of the visual, auditory (or aural), read/write, kinesthetic (VARK) model and Kansei engineering were considered for the inclusion of the pedagogical, emotional and technological-functional aspects within the spiral model for the development of MODELI. The methodology was validated with the development of a DLO for a previously unknown variant of the Mixtec language. Usability tests of the DLO built with MODELI evidenced an improvement on the learning motivation and the value of cultural identity of indigenous children. These results are important for the preservation of indigenous languages in Mexico, because most of them are partially documented, and there is social rejection of indigenous culture caused by discrimination of ethnic communities.
机译:在本文中,提出了一种名为MODELI(一种设计用于土著语言的教育数字对象的方法)的方法,用于开发Mixtec语言(一种墨西哥土著语言)的数字学习对象(DLO)。 MODELI基于软件开发的螺旋模型,并集成了DLO的分析和设计的三个重要方面:教学,情感情感和技术功能。 MODELI的前提是,在与DLO互动时,包括文化因素在内的情感方面对土著用户的学习动机具有重要影响。考虑了视觉,听觉(或听觉),读/写,动觉(VARK)模型和感性工程学的原理,以便将教学,情感和技术功能方面纳入MODELI发展的螺旋模型中。该方法论已通过针对以前未知的Mixtec语言变体的DLO开发而得到验证。使用MODELI构建的DLO的可用性测试证明,土著儿童的学习动机和文化认同价值得到了改善。这些结果对于保留墨西哥的土著语言非常重要,因为其中大多数已得到部分记录,并且由于种族社区的歧视而引起了对土著文化的社会排斥。

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