Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge

IF 4.5 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Computing in Higher Education Pub Date : 2024-02-20 DOI:10.1007/s12528-024-09398-1
{"title":"Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge","authors":"","doi":"10.1007/s12528-024-09398-1","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Helping students gradually develop collective knowledge is critical but generally faces great challenges. Employing a quasi-experimental design, this study investigated the impacts and mechanisms of analytics-supported reflective assessment on the collective knowledge advancement of undergraduates. The experimental group (<em>n</em> = 55) engaged in Knowledge Building inquiries with facilitation through analytics-supported reflective assessment, while the comparison class (<em>n</em> = 38) pursued Knowledge Building inquiries facilitated by portfolio-supported reflective assessment. This study found that analytics-supported reflective assessment positively and significantly influenced undergraduates’ collective knowledge advancement. Path analysis revealed the mechanisms of analytics-supported reflective assessment for supporting undergraduates’ collective knowledge advancement—the undergraduates’ metacognitive engagement and cognitive engagement influenced each other, further influencing their contribution to collective knowledge advancement and domain understanding. This study holds significant practical implications for fostering students’ knowledge building, inquiry, and metacognition by designing technology-enhanced learning environments as collaborative and metacognitive tools. Additionally, the study offers insights into the processes and mechanisms of reflective assessment, contributing to an understanding of how it enhances students’ development of higher-order skills.</p>","PeriodicalId":15404,"journal":{"name":"Journal of Computing in Higher Education","volume":"37 1","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2024-02-20","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/s12528-024-09398-1","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

Abstract

Helping students gradually develop collective knowledge is critical but generally faces great challenges. Employing a quasi-experimental design, this study investigated the impacts and mechanisms of analytics-supported reflective assessment on the collective knowledge advancement of undergraduates. The experimental group (n = 55) engaged in Knowledge Building inquiries with facilitation through analytics-supported reflective assessment, while the comparison class (n = 38) pursued Knowledge Building inquiries facilitated by portfolio-supported reflective assessment. This study found that analytics-supported reflective assessment positively and significantly influenced undergraduates’ collective knowledge advancement. Path analysis revealed the mechanisms of analytics-supported reflective assessment for supporting undergraduates’ collective knowledge advancement—the undergraduates’ metacognitive engagement and cognitive engagement influenced each other, further influencing their contribution to collective knowledge advancement and domain understanding. This study holds significant practical implications for fostering students’ knowledge building, inquiry, and metacognition by designing technology-enhanced learning environments as collaborative and metacognitive tools. Additionally, the study offers insights into the processes and mechanisms of reflective assessment, contributing to an understanding of how it enhances students’ development of higher-order skills.

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
调查分析支持的反思性评估促进集体知识的机制
摘要 帮助学生逐步形成集体知识至关重要,但普遍面临巨大挑战。本研究采用准实验设计,调查了分析支持的反思性评价对大学生集体知识发展的影响和机制。实验组(n = 55)通过分析支持的反思性评估进行知识建构探究,对比组(n = 38)则通过作品集支持的反思性评估进行知识建构探究。本研究发现,分析支持的反思性评估对本科生的集体知识进步产生了积极而显著的影响。路径分析揭示了分析支持的反思性评价支持本科生集体知识进步的机制--本科生的元认知参与和认知参与相互影响,进一步影响了他们对集体知识进步和领域理解的贡献。这项研究对于通过设计技术强化学习环境作为协作和元认知工具来促进学生的知识建构、探究和元认知具有重要的现实意义。此外,本研究还对反思性评价的过程和机制提出了见解,有助于理解反思性评价如何促进学生高阶技能的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 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.
期刊最新文献
Differentiated measurement of cognitive loads in computer programming The effect of social anxiety on student interactions in asynchronous online discussion forums as mediated by social presence and moderated by anonymity Curriculum analytics in higher education institutions: a systematic literature review Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online A critique of calculation and optionalization applied to online/blended course 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
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