调查自动化速度与语言能力之间的关系:在 COVID-19 大流行期间收集数据

IF 1.1 2区 文学 0 LANGUAGE & LINGUISTICS Linguistics Vanguard Pub Date : 2024-01-04 DOI:10.1515/lingvan-2021-0145
Ashley Blake, Ewa Dąbrowska
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引用次数: 0

摘要

我们的研究探索认知与语言之间的关系。本文的重点是讨论我们如何在 COVID-19 大流行期间对儿童进行远程数据收集。在这项研究中,我们调查了非语言智能、工作记忆、内隐统计学习和自动化速度(通过多次尝试河内塔谜题进行测量)等认知过程。在这里,我们主要关注自动化的速度,一方面是出于理论上的兴趣,另一方面是由于任务中的运动成分,它更难适应在线形式。我们建立了一种混合数据收集方法,研究人员在线指导儿童完成一系列语言和认知任务。我们使用了一个视频会议平台、一个数字展示台和一个实物拼图,并在研究课程开始前将其张贴给每个儿童。在 "获取数据 "项目的支持下,我们还设计了拼图的在线版本。我们将讨论我们的研究方法以及远程数据收集过程中的经验教训。
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Investigating the relationship between the speed of automatization and linguistic abilities: data collection during the COVID-19 pandemic
Our research explores the relationship between cognition and language. The focus of this paper is to discuss how we embarked upon remote data collection with children during the COVID-19 pandemic. In this study we investigate cognitive processes of non-verbal intelligence, working memory, implicit statistical learning, and speed of automatization (measured with the multiple-trial Tower of Hanoi puzzle). Here we focus primarily on the speed of automatization, partly because of theoretical interest, and because it is more difficult to adapt to an online format due to the motor component of the task. We established a hybrid method of data collection where the researcher was present online to guide children through a battery of language and cognitive tasks. We used a videoconferencing platform, a digital visualiser, and a physical puzzle which we posted to each child prior to commencing the research sessions. We also designed an online version of the puzzle with support from the Getting Data project. We discuss the methodology of our study and the lessons learned during remote data collection.
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来源期刊
CiteScore
2.00
自引率
18.20%
发文量
105
期刊介绍: Linguistics Vanguard is a new channel for high quality articles and innovative approaches in all major fields of linguistics. This multimodal journal is published solely online and provides an accessible platform supporting both traditional and new kinds of publications. Linguistics Vanguard seeks to publish concise and up-to-date reports on the state of the art in linguistics as well as cutting-edge research papers. With its topical breadth of coverage and anticipated quick rate of production, it is one of the leading platforms for scientific exchange in linguistics. Its broad theoretical range, international scope, and diversity of article formats engage students and scholars alike. All topics within linguistics are welcome. The journal especially encourages submissions taking advantage of its new multimodal platform designed to integrate interactive content, including audio and video, images, maps, software code, raw data, and any other media that enhances the traditional written word. The novel platform and concise article format allows for rapid turnaround of submissions. Full peer review assures quality and enables authors to receive appropriate credit for their work. The journal publishes general submissions as well as special collections. Ideas for special collections may be submitted to the editors for consideration.
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