我想要什么,我做了什么:在一个大规模的开放式在线课程中激励和参与

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2023-09-23 DOI:10.1016/j.compedu.2023.104929
Ella Anghel , Joshua Littenberg-Tobias , Matthias von Davier
{"title":"我想要什么,我做了什么:在一个大规模的开放式在线课程中激励和参与","authors":"Ella Anghel ,&nbsp;Joshua Littenberg-Tobias ,&nbsp;Matthias von Davier","doi":"10.1016/j.compedu.2023.104929","DOIUrl":null,"url":null,"abstract":"<div><p>Existing studies on MOOCs examine learners’ engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified three motivation groups in a MOOC for educators: intrinsic, professional, and prosocial. In the current study, we used process mining to compare the course engagement patterns of these three groups. We found that throughout the course, the intrinsic group was the most engaged, but the prosocial group became the most engaged by the end of the course. We also identified rarely visited pages and page sequences that do not follow the intended course structure. Our findings enhance existing research on motivation and engagement in MOOCs by showing how motivation relates to fine-grained engagement metrics. They suggest that MOOC developers may want to consider why some groups are less engaged and why some pages appear less engaging and change the course structure accordingly.</p></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"207 ","pages":"Article 104929"},"PeriodicalIF":8.9000,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What I wanted and what I did: Motivation and engagement in a massive open online course\",\"authors\":\"Ella Anghel ,&nbsp;Joshua Littenberg-Tobias ,&nbsp;Matthias von Davier\",\"doi\":\"10.1016/j.compedu.2023.104929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Existing studies on MOOCs examine learners’ engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified three motivation groups in a MOOC for educators: intrinsic, professional, and prosocial. In the current study, we used process mining to compare the course engagement patterns of these three groups. We found that throughout the course, the intrinsic group was the most engaged, but the prosocial group became the most engaged by the end of the course. We also identified rarely visited pages and page sequences that do not follow the intended course structure. Our findings enhance existing research on motivation and engagement in MOOCs by showing how motivation relates to fine-grained engagement metrics. They suggest that MOOC developers may want to consider why some groups are less engaged and why some pages appear less engaging and change the course structure accordingly.</p></div>\",\"PeriodicalId\":10568,\"journal\":{\"name\":\"Computers & Education\",\"volume\":\"207 \",\"pages\":\"Article 104929\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2023-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360131523002063\",\"RegionNum\":1,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360131523002063","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

现有关于MOOC的研究考察了学习者的参与过程,但尚未探索它们与入学动机之间的联系。在我们之前的工作中,我们为教育工作者确定了MOOC中的三个动机群体:内在的、专业的和亲社会的。在当前的研究中,我们使用过程挖掘来比较这三组人的课程参与模式。我们发现,在整个课程中,内在群体参与度最高,但亲社会群体在课程结束时参与度最高。我们还发现了很少访问的页面和不遵循预期课程结构的页面序列。我们的研究结果通过展示动机如何与细粒度的参与度指标相关,加强了对MOOC中动机和参与度的现有研究。他们建议,MOOC开发人员可能需要考虑为什么一些小组的参与度较低,为什么一些页面的参与度较差,并相应地改变课程结构。
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
What I wanted and what I did: Motivation and engagement in a massive open online course

Existing studies on MOOCs examine learners’ engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified three motivation groups in a MOOC for educators: intrinsic, professional, and prosocial. In the current study, we used process mining to compare the course engagement patterns of these three groups. We found that throughout the course, the intrinsic group was the most engaged, but the prosocial group became the most engaged by the end of the course. We also identified rarely visited pages and page sequences that do not follow the intended course structure. Our findings enhance existing research on motivation and engagement in MOOCs by showing how motivation relates to fine-grained engagement metrics. They suggest that MOOC developers may want to consider why some groups are less engaged and why some pages appear less engaging and change the course structure accordingly.

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
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
期刊最新文献
Personalization in educational gamification: Learners with different trait competitiveness benefit differently from rankings on leaderboards Reducing interpretative ambiguity in an educational environment with ChatGPT Editorial Board “Storytelling and educational robotics: A scoping review (2004–2024)” Advancing a Practical Inquiry Model with multi-perspective role-playing to foster critical thinking behavior in e-book reading
×
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