基于外向性和先验知识的小组形成:高等教育在线随机对照研究

IF 4.5 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Adrienne Mueller, Johannes Konert, René Röpke, Ömer Genc, Henrik Bellhäuser
{"title":"基于外向性和先验知识的小组形成:高等教育在线随机对照研究","authors":"Adrienne Mueller, Johannes Konert, René Röpke, Ömer Genc, Henrik Bellhäuser","doi":"10.1007/s12528-024-09406-4","DOIUrl":null,"url":null,"abstract":"<p>The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping leads to best outcomes. The randomized controlled trial took place in the context of an online course with 355 prospective students, working in 82 groups. The two characteristics extraversion and prior knowledge were distributed algorithmically, either homogeneously or heterogeneously. Results showed no superiority of heterogeneous formation, yet there were systematic interaction effects by the experimental group formation on satisfaction and performance. Due to the increasing relevance of online groupwork, explorative results are reported and integrated. Ideas for future research on group formation as an important influencing factor are discussed. Findings supports knowledge about cooperative online learning by optimizing the selection of group members using a therefore implemented algorithm.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"154 1","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online\",\"authors\":\"Adrienne Mueller, Johannes Konert, René Röpke, Ömer Genc, Henrik Bellhäuser\",\"doi\":\"10.1007/s12528-024-09406-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping leads to best outcomes. The randomized controlled trial took place in the context of an online course with 355 prospective students, working in 82 groups. The two characteristics extraversion and prior knowledge were distributed algorithmically, either homogeneously or heterogeneously. Results showed no superiority of heterogeneous formation, yet there were systematic interaction effects by the experimental group formation on satisfaction and performance. Due to the increasing relevance of online groupwork, explorative results are reported and integrated. Ideas for future research on group formation as an important influencing factor are discussed. Findings supports knowledge about cooperative online learning by optimizing the selection of group members using a therefore implemented algorithm.</p>\",\"PeriodicalId\":15404,\"journal\":{\"name\":\"Journal of Computing in Higher Education\",\"volume\":\"154 1\",\"pages\":\"\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computing in Higher Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1007/s12528-024-09406-4\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computing in Higher Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s12528-024-09406-4","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

摘要

研究调查了外向性和先前知识的同质分布和异质分布的 2×2 配置如何影响小组结果,包括满意度、绩效和稳定性。根据外向性和先验知识的标准偏差建立小组,以实验检验哪种分组形式能带来最佳结果。随机对照试验是在一门在线课程的背景下进行的,共有 355 名学生参加,分成 82 个小组。外向性和先验知识这两个特征通过算法进行了分配,可以是同质分配,也可以是异质分配。结果表明,异质分组没有优势,但实验分组对满意度和成绩有系统的交互影响。由于在线小组工作的相关性越来越大,本文对探索性结果进行了报告和整合。此外,还讨论了关于小组构成这一重要影响因素的未来研究思路。研究结果通过使用因此而实现的算法优化小组成员的选择,为在线合作学习的知识提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online

The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping leads to best outcomes. The randomized controlled trial took place in the context of an online course with 355 prospective students, working in 82 groups. The two characteristics extraversion and prior knowledge were distributed algorithmically, either homogeneously or heterogeneously. Results showed no superiority of heterogeneous formation, yet there were systematic interaction effects by the experimental group formation on satisfaction and performance. Due to the increasing relevance of online groupwork, explorative results are reported and integrated. Ideas for future research on group formation as an important influencing factor are discussed. Findings supports knowledge about cooperative online learning by optimizing the selection of group members using a therefore implemented algorithm.

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
Journal of Computing in Higher Education
Journal of Computing in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.10
自引率
3.60%
发文量
40
期刊介绍: Journal of Computing in Higher Education (JCHE) contributes to our understanding of the design, development, and implementation of instructional processes and technologies in higher education. JCHE publishes original research, literature reviews, implementation and evaluation studies, and theoretical, conceptual, and policy papers that provide perspectives on instructional technology’s role in improving access, affordability, and outcomes of postsecondary education.  Priority is given to well-documented original papers that demonstrate a strong grounding in learning theory and/or rigorous educational research design.
×
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:481959085
Book学术官方微信