• 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

开源学习管理系统(OSS-LMS)软件包的评估与选择问题。

An evaluation and selection problems of OSS-LMS packages.

作者信息

Abdullateef Belal Najeh, Elias Nur Fazidah, Mohamed Hazura, Zaidan A A, Zaidan B B

机构信息

Faculty of Information Science and Technology, Universit Kebangsaan Malaysia, Bangi, Malaysia.

Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia.

出版信息

Springerplus. 2016 Mar 1;5:248. doi: 10.1186/s40064-016-1828-y. eCollection 2016.

DOI:10.1186/s40064-016-1828-y
PMID:27064567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4771676/
Abstract

The evaluation and selection of inappropriate open source software in learning management system (OSS-LMS) packages adversely affect the business processes and functions of an organization. Thus, comprehensive insights into the evaluation and selection of OSS-LMS packages are presented in this paper on the basis of three directions. First, available OSS-LMSs are ascertained from published papers. Second, the criteria for evaluating OSS-LMS packages are specified.according to two aspects: the criteria are identified and established, followed by a crossover between them to highlight the gaps between the evaluation criteria for OSS-LMS packages and the selection problems. Third, the abilities of selection methods that appear fit to solve the problems of OSS-LMS packages based on the multi-criteria evaluation and selection problem are discussed to select the best OSS-LMS packages. Results indicate the following: (1) a list of active OSS-LMS packages; (2) the gaps on the evaluation criteria used for LMS and other problems (consisting of main groups with sub-criteria); (3) use of multi-attribute or multi-criteria decision-making (MADM/MCDM) techniques in the framework of the evaluation and selection of the OSS in education as recommended solutions.

摘要

学习管理系统(OSS-LMS)软件包中不恰当的开源软件评估与选择会对组织的业务流程和功能产生不利影响。因此,本文基于三个方向对OSS-LMS软件包的评估与选择进行了全面深入的探讨。首先,从已发表的论文中确定可用的OSS-LMS。其次,从两个方面明确评估OSS-LMS软件包的标准:先确定并建立标准,然后将它们交叉以突出OSS-LMS软件包评估标准与选择问题之间的差距。第三,基于多标准评估与选择问题,讨论适用于解决OSS-LMS软件包问题的选择方法的能力,以选出最佳的OSS-LMS软件包。结果表明:(1)一份活跃的OSS-LMS软件包列表;(2)用于学习管理系统的评估标准及其他问题(由包含子标准的主要类别组成)上的差距;(3)在教育领域OSS评估与选择框架中使用多属性或多标准决策(MADM/MCDM)技术作为推荐解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/62eb8137b109/40064_2016_1828_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/08fa0e2240a5/40064_2016_1828_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/653f723c68b0/40064_2016_1828_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/62eb8137b109/40064_2016_1828_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/08fa0e2240a5/40064_2016_1828_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/653f723c68b0/40064_2016_1828_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4614/4771676/62eb8137b109/40064_2016_1828_Fig3_HTML.jpg

相似文献

1
An evaluation and selection problems of OSS-LMS packages.开源学习管理系统(OSS-LMS)软件包的评估与选择问题。
Springerplus. 2016 Mar 1;5:248. doi: 10.1186/s40064-016-1828-y. eCollection 2016.
2
Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS.基于层次分析法(AHP)和理想解法(TOPSIS)集成的开源电子病历软件包评估与选择
J Biomed Inform. 2015 Feb;53:390-404. doi: 10.1016/j.jbi.2014.11.012. Epub 2014 Dec 4.
3
Using multi-attribute decision-making approaches in the selection of a hospital management system.
Technol Health Care. 2018;26(2):279-295. doi: 10.3233/THC-170947.
4
Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects.系统评价自动多类白血病检测和分类系统在评估和基准测试、开放性挑战、问题和方法学方面的性能。
J Med Syst. 2018 Sep 19;42(11):204. doi: 10.1007/s10916-018-1064-9.
5
A systematic literature review of open source software quality assessment models.开源软件质量评估模型的系统文献综述。
Springerplus. 2016 Nov 8;5(1):1936. doi: 10.1186/s40064-016-3612-4. eCollection 2016.
6
Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China.通过双极复杂犹豫模糊 Aczel-Alsina 幂集结算子在高等教育系统中实现学习管理系统 (LMS):中国案例研究。
PLoS One. 2024 Apr 4;19(4):e0300317. doi: 10.1371/journal.pone.0300317. eCollection 2024.
7
Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions.移动患者监护系统的基准测试分析:挑战、未决问题与推荐解决方案。
J Med Syst. 2019 May 29;43(7):207. doi: 10.1007/s10916-019-1336-z.
8
Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection.一种用于ETL软件选择的集成多准则决策AHP-TOPSIS方法的应用。
Springerplus. 2016 Mar 2;5:263. doi: 10.1186/s40064-016-1888-z. eCollection 2016.
9
The development of a learning management system for dental radiology education: A technical report.牙科放射学教育学习管理系统的开发:一份技术报告。
Imaging Sci Dent. 2017 Mar;47(1):51-55. doi: 10.5624/isd.2017.47.1.51. Epub 2017 Mar 21.
10
Identification of key factors in consumers' adoption behavior of intelligent medical terminals based on a hybrid modified MADM model for product improvement.基于混合改进多属性决策模型的智能医疗终端消费者采纳行为关键因素识别以进行产品改进
Int J Med Inform. 2017 Sep;105:68-82. doi: 10.1016/j.ijmedinf.2017.05.017. Epub 2017 May 31.

引用本文的文献

1
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component.基于层次分析法-群组TOPSIS和匹配组件的跨集中式/分布式远程医疗医院救治新冠肺炎患者的康复血浆输注智能框架
Appl Intell (Dordr). 2021;51(5):2956-2987. doi: 10.1007/s10489-020-02169-2. Epub 2021 Jan 22.
2
Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients.基于 T 球面模糊环境:FWZIC 和 FDOSM 的组合用于优先考虑 COVID-19 疫苗剂量接受者。
J Infect Public Health. 2021 Oct;14(10):1513-1559. doi: 10.1016/j.jiph.2021.08.026. Epub 2021 Aug 26.
3

本文引用的文献

1
Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS.基于层次分析法(AHP)和理想解法(TOPSIS)集成的开源电子病历软件包评估与选择
J Biomed Inform. 2015 Feb;53:390-404. doi: 10.1016/j.jbi.2014.11.012. Epub 2014 Dec 4.
2
Open source EMR software: profiling, insights and hands-on analysis.开源电子病历软件:剖析、见解与实际操作分析
Comput Methods Programs Biomed. 2014 Nov;117(2):360-82. doi: 10.1016/j.cmpb.2014.07.002. Epub 2014 Jul 17.
3
Cloud service selection using multicriteria decision analysis.
Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses.
q阶正交对环境下基于意见得分法的模糊加权零不一致性与模糊决策的集成:COVID-19疫苗剂量的分布案例研究
Comput Stand Interfaces. 2022 Mar;80:103572. doi: 10.1016/j.csi.2021.103572. Epub 2021 Aug 25.
4
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.基于评估和基准的 COVID-19 医学图像检测和分类的人工智能技术的系统评价:分类分析、挑战、未来解决方案和方法学方面。
J Infect Public Health. 2020 Oct;13(10):1381-1396. doi: 10.1016/j.jiph.2020.06.028. Epub 2020 Jul 1.
5
Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.帮助医生加速 COVID-19 治疗:基于生物需求,通过机器学习和新型多准则决策方法,为最关键的患者提供最佳恢复期血浆的救援框架。
Comput Methods Programs Biomed. 2020 Nov;196:105617. doi: 10.1016/j.cmpb.2020.105617. Epub 2020 Jun 20.
6
Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.实时远程健康监测系统:对多种慢性病患者优先级排序的综述、分类分析、关注点和解决方案流程。
J Med Syst. 2019 Jun 11;43(7):223. doi: 10.1007/s10916-019-1362-x.
7
Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques.基于移动的患者监测系统:使用多准则决策技术的优先级框架。
J Med Syst. 2019 Jun 6;43(7):219. doi: 10.1007/s10916-019-1339-9.
8
Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKOR.基于 BWM 和 Group-VIKOR 的急性白血病自动检测与分类多类基准框架。
J Med Syst. 2019 Jun 1;43(7):212. doi: 10.1007/s10916-019-1338-x.
9
Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions.移动患者监护系统的基准测试分析:挑战、未决问题与推荐解决方案。
J Med Syst. 2019 May 29;43(7):207. doi: 10.1007/s10916-019-1336-z.
10
Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects.系统评价自动多类白血病检测和分类系统在评估和基准测试、开放性挑战、问题和方法学方面的性能。
J Med Syst. 2018 Sep 19;42(11):204. doi: 10.1007/s10916-018-1064-9.
使用多准则决策分析进行云服务选择。
ScientificWorldJournal. 2014 Feb 13;2014:459375. doi: 10.1155/2014/459375. eCollection 2014.
4
A method to dynamic stochastic multicriteria decision making with log-normally distributed random variables.一种处理对数正态分布随机变量的动态随机多准则决策方法。
ScientificWorldJournal. 2013 Sep 26;2013:202085. doi: 10.1155/2013/202085. eCollection 2013.
5
Information technology and its role in anaesthesia training and continuing medical education.信息技术及其在麻醉培训和继续医学教育中的作用。
Best Pract Res Clin Anaesthesiol. 2012 Mar;26(1):33-53. doi: 10.1016/j.bpa.2012.02.002.