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Using Wearable Technology to Collect Multimodal Data in the Study of Learners' Digital Literacy Practices

机译:使用可穿戴技术在学习者数字扫盲实践研究中收集多模数据

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Technology allows us to learn new languages and communicate with others relatively free of time and place. Although technology has already proven its effectiveness for language learning outside the classroom, the potential of this effectiveness for in-class learning and teaching has yet to be explored in detail. Traditional research methods such as interviews and survey data tend to fall short in accurately describing digital literacy practices that are outside the scope of the researcher. This paper presents a study in which multimodal data, collected through wearable technology, is used to map trajectories of digital English literacy practices of students across various spaces outside the classroom. This method illustrates how multimodal data can provide better insight into digital literacy events as they move across-social spaces than traditional forms of data collection. It also demonstrates how multimodal data can be used as the input for focus group sessions to corroborate findings and add validity to qualitative data in research on digital English literacy practices.
机译:技术使我们能够学习新语言并与其他人相对没有时间和地点沟通。虽然技术已经证明了课堂外的语言学习的有效性,但尚未详细探讨了课堂上学习和教学有效性的潜力。访谈和调查数据等传统研究方法往往是准确描述超出研究人员范围的数字识字实践的简短。本文提出了一项研究,其中通过可穿戴技术收集的多模式数据,用于将学生的数字英语识字实践映射跨越教室外的各种空间。该方法说明了多模式数据如何在跨社交空间移动而不是传统的数据收集形式时,如何更好地了解数字识字事件。它还展示了多峰数据如何用作对焦组会话的输入,以证实调查结果,并为数字英语识字实践研究中的定性数据添加有效性。

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