• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在线课堂学习环境量表(OCLEI)的开发与验证:以印度尼西亚在新冠疫情期间的情况为例

Development and validation of Online Classroom Learning Environment Inventory (OCLEI): The case of Indonesia during the COVID-19 pandemic.

作者信息

Rahayu Wardani, Putra Muhammad Dwirifqi Kharisma, Sulaeman Erwin, Koul Rekha B

机构信息

State University of Jakarta, Bung Hatta Building, Rawamangun Muka St, East Jakarta, Indonesia.

Gadjah Mada University, Yogyakarta, Indonesia.

出版信息

Learn Environ Res. 2022;25(1):97-113. doi: 10.1007/s10984-021-09352-3. Epub 2021 Mar 4.

DOI:10.1007/s10984-021-09352-3
PMID:33686340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7930100/
Abstract

This paper reports the development and validation of a new questionnaire to assess students' perceptions of the online learning environment in Indonesia during the COVID-19 pandemic. In total, 669 participants (454 women, 215 men) from various universities were recruited online to complete a 25-item questionnaire. Item factor analysis verified a five-factor model, while multidimensional Rasch analysis showed that all items fit this model and have good reliability. The factors of Access, Interaction, Lecturer Support, Equity, and Investigation formed the valid and reliable Online Classroom Learning Environment Inventory (OCLEI). All aspects of online learning readiness were related to the five factors of the OCLEI, therefore supporting convergent validity. With these results, we concluded that the OCLEI is a novel measure that can be used in future educational research in Indonesia. Limitations and implications are noted.

摘要

本文报告了一份新问卷的开发与验证情况,该问卷用于评估印度尼西亚学生在新冠疫情期间对在线学习环境的看法。总共从各所大学在线招募了669名参与者(454名女性,215名男性)来完成一份包含25个条目的问卷。项目因子分析验证了一个五因素模型,而多维拉施分析表明所有条目均符合该模型且具有良好的信度。访问、互动、讲师支持、公平性和调查这几个因素构成了有效且可靠的在线课堂学习环境量表(OCLEI)。在线学习准备的各个方面都与OCLEI的五个因素相关,因此支持了收敛效度。基于这些结果,我们得出结论,OCLEI是一种可用于印度尼西亚未来教育研究的新测量工具。文中指出了局限性和启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b6/7930100/5280a8e10158/10984_2021_9352_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b6/7930100/5280a8e10158/10984_2021_9352_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b6/7930100/5280a8e10158/10984_2021_9352_Fig1_HTML.jpg

相似文献

1
Development and validation of Online Classroom Learning Environment Inventory (OCLEI): The case of Indonesia during the COVID-19 pandemic.在线课堂学习环境量表(OCLEI)的开发与验证:以印度尼西亚在新冠疫情期间的情况为例
Learn Environ Res. 2022;25(1):97-113. doi: 10.1007/s10984-021-09352-3. Epub 2021 Mar 4.
2
Exploring the perceptions of the educational environment in online acupuncture learning during the COVID-19 pandemic.探究 COVID-19 大流行期间在线针灸学习中教育环境的认知。
Acupunct Med. 2022 Apr;40(2):186-190. doi: 10.1177/09645284211056657. Epub 2021 Dec 9.
3
MUSIC® for Medical Students: Confirming the Reliability and Validity of a Multi-Factorial Measure of Academic Motivation for Medical Education.医学生音乐量表:医学教育中多因素学业动机测量工具的信度和效度验证。
Teach Learn Med. 2020 Oct-Dec;32(5):494-507. doi: 10.1080/10401334.2020.1758704. Epub 2020 May 5.
4
Students' self-regulated learning (SRL) profile dataset measured during Covid-19 mitigation in Yogyakarta, Indonesia.在印度尼西亚日惹缓解新冠疫情期间测量的学生自我调节学习(SRL)概况数据集。
Data Brief. 2020 Dec;33:106422. doi: 10.1016/j.dib.2020.106422. Epub 2020 Oct 20.
5
Validity testing of classroom community scale in virtual environment learning: A cross sectional study.虚拟环境学习中课堂社区量表的效度测试:一项横断面研究。
Ann Med Surg (Lond). 2018 Sep 22;36:256-260. doi: 10.1016/j.amsu.2018.08.021. eCollection 2018 Dec.
6
Development and validation of a measurement scale to assess nursing students’ readiness for the flipped classroom in Sri Lanka.评估斯里兰卡护理学生翻转课堂准备情况的测量量表的制定与验证。
J Educ Eval Health Prof. 2020;17:41. doi: 10.3352/jeehp.2020.17.41. Epub 2020 Dec 14.
7
The effect of the online flipped classroom on self-directed learning readiness and metacognitive awareness in nursing students during the COVID-19 pandemic.新冠疫情期间在线翻转课堂对护生自主学习准备度和元认知意识的影响
BMC Nurs. 2022 Jan 19;21(1):22. doi: 10.1186/s12912-022-00804-6.
8
Adaptation and validation of a computer-assisted language learning attitude questionnaire in a Vietnamese EFL context: A comparison between online and paper modes of administration.越南英语外语环境下计算机辅助语言学习态度问卷的改编与验证:在线与纸质施测模式的比较
Heliyon. 2022 Jun 16;8(6):e09743. doi: 10.1016/j.heliyon.2022.e09743. eCollection 2022 Jun.
9
Psychometric item analysis and validation of the Indonesian version of the Readiness for Interprofessional Learning Scale (RIPLS).印度尼西亚语版跨专业学习准备量表(RIPLS)的心理测量项目分析与验证
J Interprof Care. 2014 Sep;28(5):426-32. doi: 10.3109/13561820.2014.907778. Epub 2014 Apr 14.
10
The application of WhatsApp to support online learning during the COVID-19 pandemic in Indonesia.WhatsApp在印度尼西亚新冠疫情期间支持在线学习的应用。
Heliyon. 2021 Aug 21;7(8):e07853. doi: 10.1016/j.heliyon.2021.e07853. eCollection 2021 Aug.

引用本文的文献

1
Development and validation of Digi-MEE Instrument measuring online learning environments in medical education.用于测量医学教育在线学习环境的Digi-MEE工具的开发与验证
Pak J Med Sci. 2023 Nov-Dec;39(6):1573-1583. doi: 10.12669/pjms.39.6.8430.
2
Correlation Analysis Between Teachers' Teaching Psychological Behavior and Classroom Development Based on Data Analysis.基于数据分析的教师教学心理行为与课堂发展的相关性分析
Front Psychol. 2022 May 20;13:905029. doi: 10.3389/fpsyg.2022.905029. eCollection 2022.

本文引用的文献

1
One Size Doesn't Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research.一刀切不适用:在研究中使用调查时,使用因子分析收集有效性证据。
CBE Life Sci Educ. 2019 Mar;18(1):rm1. doi: 10.1187/cbe.18-04-0064.
2
in Spanish Adolescents: Factor Structure and Rasch Analysis.针对西班牙青少年:因素结构与拉施分析
Front Psychol. 2018 Aug 10;9:1370. doi: 10.3389/fpsyg.2018.01370. eCollection 2018.
3
Validating and improving the reliability of the EORTC qlq-c30 using a multidimensional Rasch model.采用多维 Rasch 模型验证和改进 EORTC qlq-c30 的可靠性。
Value Health. 2013 Jul-Aug;16(5):848-54. doi: 10.1016/j.jval.2013.05.004. Epub 2013 Jul 17.
4
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.类别变量在何时可以视为连续变量?在次优条件下稳健连续和类别 SEM 估计方法的比较。
Psychol Methods. 2012 Sep;17(3):354-73. doi: 10.1037/a0029315. Epub 2012 Jul 16.
5
A combined-method psychometric analysis recommended modification of the multidimensional health locus of control scales.一项综合方法的心理测量分析建议对多维健康控制点量表进行修改。
J Clin Epidemiol. 2007 May;60(5):440-7. doi: 10.1016/j.jclinepi.2006.08.005. Epub 2006 Dec 11.
6
Item factor analysis: current approaches and future directions.项目因素分析:当前方法与未来方向。
Psychol Methods. 2007 Mar;12(1):58-79. doi: 10.1037/1082-989X.12.1.58.
7
Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis.使用多维Rasch分析验证、提高世界卫生组织生活质量简表(WHOQOL-BREF)四个子量表的信度并估计其相关性。
Qual Life Res. 2006 May;15(4):607-20. doi: 10.1007/s11136-005-4365-7.
8
Improving measurement precision of test batteries using multidimensional item response models.使用多维项目反应模型提高测试组合的测量精度。
Psychol Methods. 2004 Mar;9(1):116-36. doi: 10.1037/1082-989X.9.1.116.
9
Investigating rating scale category utility.调查评定量表类别效用。
J Outcome Meas. 1999;3(2):103-22.