大流行病时代的语言评估数据收集：对中国 EFL 学习者的初步案例研究

IF 1.1 2区文学 0 LANGUAGE & LINGUISTICS

Linguistics Vanguard Pub Date : 2024-01-01 DOI:10.1515/lingvan-2021-0148

Junyan Guo

{"title":"大流行病时代的语言评估数据收集：对中国 EFL 学习者的初步案例研究","authors":"Junyan Guo","doi":"10.1515/lingvan-2021-0148","DOIUrl":null,"url":null,"abstract":"Abstract This study reports a preliminary exploration of the online collection of language assessment data in the author’s PhD project under the influence of the COVID-19 pandemic. It describes the challenges the author met, details the adaptations she made, and delineates its implications. Specifically, the data collection in this project involved remotely delivering three vocabulary tests and one speaking task to EFL learners in mainland China and collecting the results of these tests. In this process, the author trialed, pilot-tested, and compared three test-administering modes: first an asynchronous mode (Wenjuanwang), then a synchronous mode (Tencent Meeting), and finally a return to an asynchronous mode (Super Star Learning). It is hoped that this exploratory investigation into these technology-enhanced online methods will add a different perspective and present a multifaceted view for data collection of language assessment research during and after this pandemic.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"18 3","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Collecting language assessment data in the age of pandemic: a preliminary case study of Chinese EFL learners\",\"authors\":\"Junyan Guo\",\"doi\":\"10.1515/lingvan-2021-0148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study reports a preliminary exploration of the online collection of language assessment data in the author’s PhD project under the influence of the COVID-19 pandemic. It describes the challenges the author met, details the adaptations she made, and delineates its implications. Specifically, the data collection in this project involved remotely delivering three vocabulary tests and one speaking task to EFL learners in mainland China and collecting the results of these tests. In this process, the author trialed, pilot-tested, and compared three test-administering modes: first an asynchronous mode (Wenjuanwang), then a synchronous mode (Tencent Meeting), and finally a return to an asynchronous mode (Super Star Learning). It is hoped that this exploratory investigation into these technology-enhanced online methods will add a different perspective and present a multifaceted view for data collection of language assessment research during and after this pandemic.\",\"PeriodicalId\":55960,\"journal\":{\"name\":\"Linguistics Vanguard\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linguistics Vanguard\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1515/lingvan-2021-0148\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguistics Vanguard","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/lingvan-2021-0148","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}

引用次数: 0

摘要

摘要本研究报告介绍了在 COVID-19 大流行病影响下，作者的博士项目在线收集语言评估数据的初步探索。它描述了作者遇到的挑战，详细介绍了她所做的调整，并阐述了其影响。具体而言，该项目中的数据收集工作包括向中国大陆的 EFL 学习者远程提供三个词汇测试和一个口语任务，并收集这些测试的结果。在这一过程中，作者试用、试验并比较了三种施测模式：首先是异步模式（文摘网），然后是同步模式（腾讯会议），最后回到异步模式（超星学习）。希望通过对这些技术增强型在线方式的探索性研究，能为此次大流行期间和之后的语言测评研究的数据收集工作增添一个不同的视角，并呈现出一个多元的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Collecting language assessment data in the age of pandemic: a preliminary case study of Chinese EFL learners

Abstract This study reports a preliminary exploration of the online collection of language assessment data in the author’s PhD project under the influence of the COVID-19 pandemic. It describes the challenges the author met, details the adaptations she made, and delineates its implications. Specifically, the data collection in this project involved remotely delivering three vocabulary tests and one speaking task to EFL learners in mainland China and collecting the results of these tests. In this process, the author trialed, pilot-tested, and compared three test-administering modes: first an asynchronous mode (Wenjuanwang), then a synchronous mode (Tencent Meeting), and finally a return to an asynchronous mode (Super Star Learning). It is hoped that this exploratory investigation into these technology-enhanced online methods will add a different perspective and present a multifaceted view for data collection of language assessment research during and after this pandemic.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Linguistics Vanguard Multiple-

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.