在线听力反应和电子学习表现

Zhaoyi Du, Fang Wang, Shan Wang, X. Xiao
{"title":"在线听力反应和电子学习表现","authors":"Zhaoyi Du, Fang Wang, Shan Wang, X. Xiao","doi":"10.1108/itp-09-2021-0687","DOIUrl":null,"url":null,"abstract":"PurposeThis research investigates the impact of learners' non-substantive responses in online course forums, referred to as online listening responses, on e-learning performance. A common type of response in online course forums, online listening responses consist of brief, non-substantive replies/comments (e.g. “agree,” “I see,” “thank you,” “me too”) and non-textual inputs (e.g. post-voting, emoticons) in online discussions. Extant literature on online forum participation focuses on learners' active participation with substantive inputs and overlooks online listening responses. This research, by contrast, stresses the value of online listening responses in e-learning and their heterogeneous effects across learner characteristics. It calls for recognition and encouragement from online instructors and online forum designers to support this activity.Design/methodology/approachThe large-scale proprietary dataset comes from a leading MOOC (massive open online courses) platform in China. The dataset includes 68,126 records of learners in five MOOCs during 2014–2018. An ordinary least squares model is used to analyze the data and test the hypotheses.FindingsOnline listening responses in course forums, along with learners' substantive inputs, positively influence learner performance in online courses. The effects are heterogeneous across learner characteristics, being more prominent for early course registrants, learners with full-time jobs and learners with more e-learning experience, but weaker for female learners.Originality/valueThis research distinguishes learners' brief, non-substantive responses (online listening responses) and substantive inputs (online speaking) as two types of active participation in online forums and provides empirical evidence for the importance of online listening responses in e-learning. It contributes to online forum research by advancing the active-passive dichotomy of online forum participation to a nuanced classification of learner behaviors. It also adds to e-learning research by generating insights into the positive and heterogeneous value of learners' online listening responses to e-learning outcomes. Finally, it enriches online listening research by introducing and examining online listening responses, thereby providing a new avenue to probe online discussions and e-learning performance.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online listening responses and e-learning performance\",\"authors\":\"Zhaoyi Du, Fang Wang, Shan Wang, X. Xiao\",\"doi\":\"10.1108/itp-09-2021-0687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis research investigates the impact of learners' non-substantive responses in online course forums, referred to as online listening responses, on e-learning performance. A common type of response in online course forums, online listening responses consist of brief, non-substantive replies/comments (e.g. “agree,” “I see,” “thank you,” “me too”) and non-textual inputs (e.g. post-voting, emoticons) in online discussions. Extant literature on online forum participation focuses on learners' active participation with substantive inputs and overlooks online listening responses. This research, by contrast, stresses the value of online listening responses in e-learning and their heterogeneous effects across learner characteristics. It calls for recognition and encouragement from online instructors and online forum designers to support this activity.Design/methodology/approachThe large-scale proprietary dataset comes from a leading MOOC (massive open online courses) platform in China. The dataset includes 68,126 records of learners in five MOOCs during 2014–2018. An ordinary least squares model is used to analyze the data and test the hypotheses.FindingsOnline listening responses in course forums, along with learners' substantive inputs, positively influence learner performance in online courses. The effects are heterogeneous across learner characteristics, being more prominent for early course registrants, learners with full-time jobs and learners with more e-learning experience, but weaker for female learners.Originality/valueThis research distinguishes learners' brief, non-substantive responses (online listening responses) and substantive inputs (online speaking) as two types of active participation in online forums and provides empirical evidence for the importance of online listening responses in e-learning. It contributes to online forum research by advancing the active-passive dichotomy of online forum participation to a nuanced classification of learner behaviors. It also adds to e-learning research by generating insights into the positive and heterogeneous value of learners' online listening responses to e-learning outcomes. Finally, it enriches online listening research by introducing and examining online listening responses, thereby providing a new avenue to probe online discussions and e-learning performance.\",\"PeriodicalId\":13533,\"journal\":{\"name\":\"Inf. Technol. People\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inf. Technol. People\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/itp-09-2021-0687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inf. Technol. People","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/itp-09-2021-0687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的本研究探讨学习者在在线课程论坛上的非实质性回应(即在线听力回应)对电子学习绩效的影响。在线课程论坛中常见的回应类型,在线听力回应包括简短的,非实质性的回复/评论(例如“同意”,“我明白了”,“谢谢你”,“我也是”)和在线讨论中的非文本输入(例如投票后,表情符号)。现有的关于在线论坛参与的文献侧重于学习者的积极参与和实质性的投入,而忽视了在线听力的回应。相比之下,本研究强调在线听力响应在电子学习中的价值及其在学习者特征上的异质效应。它需要在线教师和在线论坛设计者的认可和鼓励来支持这一活动。设计/方法/方法大规模专有数据集来自中国领先的MOOC(大规模开放在线课程)平台。该数据集包括2014-2018年期间5个mooc的68126条学习者记录。使用普通最小二乘模型分析数据并检验假设。在课程论坛上的在线听力反应,以及学习者的实质性输入,对学习者在在线课程中的表现产生积极影响。这种影响在学习者特征上是异质的,在早期注册课程的学习者、全职工作的学习者和有更多在线学习经验的学习者中更为突出,但对女性学习者的影响较弱。原创性/价值本研究将学习者的简短、非实质性回应(在线听力回应)和实质性投入(在线发言)区分为两种积极参与在线论坛的类型,并为在线听力回应在电子学习中的重要性提供了经验证据。它通过将在线论坛参与的主动-被动二分法推进到学习者行为的细微分类,从而有助于在线论坛研究。它还通过深入了解学习者对电子学习结果的在线倾听反应的积极和异质性价值,从而增加了电子学习研究。最后,通过引入和检查在线听力反应,丰富了在线听力研究,从而为探索在线讨论和在线学习绩效提供了新的途径。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Online listening responses and e-learning performance
PurposeThis research investigates the impact of learners' non-substantive responses in online course forums, referred to as online listening responses, on e-learning performance. A common type of response in online course forums, online listening responses consist of brief, non-substantive replies/comments (e.g. “agree,” “I see,” “thank you,” “me too”) and non-textual inputs (e.g. post-voting, emoticons) in online discussions. Extant literature on online forum participation focuses on learners' active participation with substantive inputs and overlooks online listening responses. This research, by contrast, stresses the value of online listening responses in e-learning and their heterogeneous effects across learner characteristics. It calls for recognition and encouragement from online instructors and online forum designers to support this activity.Design/methodology/approachThe large-scale proprietary dataset comes from a leading MOOC (massive open online courses) platform in China. The dataset includes 68,126 records of learners in five MOOCs during 2014–2018. An ordinary least squares model is used to analyze the data and test the hypotheses.FindingsOnline listening responses in course forums, along with learners' substantive inputs, positively influence learner performance in online courses. The effects are heterogeneous across learner characteristics, being more prominent for early course registrants, learners with full-time jobs and learners with more e-learning experience, but weaker for female learners.Originality/valueThis research distinguishes learners' brief, non-substantive responses (online listening responses) and substantive inputs (online speaking) as two types of active participation in online forums and provides empirical evidence for the importance of online listening responses in e-learning. It contributes to online forum research by advancing the active-passive dichotomy of online forum participation to a nuanced classification of learner behaviors. It also adds to e-learning research by generating insights into the positive and heterogeneous value of learners' online listening responses to e-learning outcomes. Finally, it enriches online listening research by introducing and examining online listening responses, thereby providing a new avenue to probe online discussions and e-learning performance.
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
自引率
0.00%
发文量
0
期刊最新文献
Guest editorial: Work from home (WFH), employee productivity and wellbeing: lessons from COVID-19 and future implications Exploring the impact of digital work on work-life balance and job performance: a technology affordance perspective Exploring the effects of different achievement goals on contributor participation in crowdsourcing Supporting participatory innovation during the COVID-19 pandemic: a comparative study of enterprise social media use Understanding customer's meaningful engagement with AI-powered service robots
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1