通过spoc的在线反馈促进深度学习

R. Filius, R. Kleijn, S. Uijl, F. Prins, H. Rijen, D. Grobbee
{"title":"通过spoc的在线反馈促进深度学习","authors":"R. Filius, R. Kleijn, S. Uijl, F. Prins, H. Rijen, D. Grobbee","doi":"10.14786/FLR.V6I2.350","DOIUrl":null,"url":null,"abstract":"Higher education aims for deep learning and increasingly uses a specific form of online education: Small Private Online Courses (SPOCs). To overcome challenges that instructors face in order to promote deep learning through that format, the use of feedback may have significant potential. We interviewed eleven instructors and four students and organized a focus group to formulate scalable design propositions for instructors in SPOCs to promote deep learning. Propositions have been formulated according to the CIMO-logic. \nThis study resulted in identification of four mechanisms by which the desired outcome (deep learning) can be achieved, which we describe here along with proposed interventions. \nResults show that the “online learning interaction model” can be deepened with these mechanisms: 1) Feeling personally committed, 2) Asking and providing relevant feedback, 3) Probing back and forth, and 4) Understanding one’s own learning process. To activate these mechanisms, scalable feedback interventions are described in three categories. Results at this relatively young field of SPOCs also show that feedback as a dialogical process may contribute to solving the current challenges of instructors in SPOCs to achieve deep learning with their students.","PeriodicalId":37057,"journal":{"name":"Frontline Learning Research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14786/FLR.V6I2.350","citationCount":"18","resultStr":"{\"title\":\"Promoting deep learning through online feedback in SPOCs\",\"authors\":\"R. Filius, R. Kleijn, S. Uijl, F. Prins, H. Rijen, D. Grobbee\",\"doi\":\"10.14786/FLR.V6I2.350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Higher education aims for deep learning and increasingly uses a specific form of online education: Small Private Online Courses (SPOCs). To overcome challenges that instructors face in order to promote deep learning through that format, the use of feedback may have significant potential. We interviewed eleven instructors and four students and organized a focus group to formulate scalable design propositions for instructors in SPOCs to promote deep learning. Propositions have been formulated according to the CIMO-logic. \\nThis study resulted in identification of four mechanisms by which the desired outcome (deep learning) can be achieved, which we describe here along with proposed interventions. \\nResults show that the “online learning interaction model” can be deepened with these mechanisms: 1) Feeling personally committed, 2) Asking and providing relevant feedback, 3) Probing back and forth, and 4) Understanding one’s own learning process. To activate these mechanisms, scalable feedback interventions are described in three categories. Results at this relatively young field of SPOCs also show that feedback as a dialogical process may contribute to solving the current challenges of instructors in SPOCs to achieve deep learning with their students.\",\"PeriodicalId\":37057,\"journal\":{\"name\":\"Frontline Learning Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.14786/FLR.V6I2.350\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontline Learning Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14786/FLR.V6I2.350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontline Learning Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14786/FLR.V6I2.350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

高等教育以深度学习为目标,越来越多地使用一种特殊的在线教育形式:小型私人在线课程(SPOCs)。为了克服教师面临的挑战,通过这种形式促进深度学习,反馈的使用可能具有巨大的潜力。我们采访了11位教师和4名学生,并组织了一个焦点小组,为spoc的教师制定可扩展的设计主张,以促进深度学习。命题是根据cimo逻辑制定的。这项研究确定了四种机制,通过这些机制可以实现预期的结果(深度学习),我们在这里描述了这些机制以及提出的干预措施。结果表明,“在线学习互动模式”可以通过以下机制进行深化:1)感受个人承诺,2)询问并提供相关反馈,3)来回探索,4)了解自己的学习过程。为了激活这些机制,可扩展的反馈干预分为三类。在这个相对年轻的SPOCs领域的研究结果也表明,作为对话过程的反馈可能有助于解决SPOCs教师在与学生进行深度学习方面面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Promoting deep learning through online feedback in SPOCs
Higher education aims for deep learning and increasingly uses a specific form of online education: Small Private Online Courses (SPOCs). To overcome challenges that instructors face in order to promote deep learning through that format, the use of feedback may have significant potential. We interviewed eleven instructors and four students and organized a focus group to formulate scalable design propositions for instructors in SPOCs to promote deep learning. Propositions have been formulated according to the CIMO-logic. This study resulted in identification of four mechanisms by which the desired outcome (deep learning) can be achieved, which we describe here along with proposed interventions. Results show that the “online learning interaction model” can be deepened with these mechanisms: 1) Feeling personally committed, 2) Asking and providing relevant feedback, 3) Probing back and forth, and 4) Understanding one’s own learning process. To activate these mechanisms, scalable feedback interventions are described in three categories. Results at this relatively young field of SPOCs also show that feedback as a dialogical process may contribute to solving the current challenges of instructors in SPOCs to achieve deep learning with their students.
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
Frontline Learning Research
Frontline Learning Research Social Sciences-Education
CiteScore
5.50
自引率
0.00%
发文量
6
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信