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International Journal of e-Collaboration最新文献

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Visualizing and Bibliometrically Analyzing Information and Communication Technology-Based Blended Learning 基于信息与通信技术的混合式学习的可视化与文献计量分析
Q3 Computer Science Pub Date : 2023-06-21 DOI: 10.4018/ijec.324950
Zhonggen Yu, Danhua Peng
With the rapid development of information and communication technologies, blended learning has gained popularity after the COVID-19 pandemic. This study aims to visualize and bibliometrically analyze information and communication technology-based blended learning. Through bibliometric analyses and visualization via both VOSviewer and CitNetExplorer, this study identified the top ten cited authors, organizations, countries, sources, and keywords in the field of information and communication technologies used for blended learning, providing meaningful references for future research. Most studies reported that information and communication technology-based blended learning could improve learning effectiveness and environments despite numerous challenges revealed by several previous studies. In addition, this study suggested the main research methods to explore ICT-assisted blended learning given the present meta-analytical methods in the longest path where a citation network was established. Future research directions were suggested.
随着信息通信技术的快速发展,新冠肺炎疫情后,混合式学习开始流行。本研究旨在对基于资讯与通讯科技的混合式学习进行形象化与文献计量分析。通过VOSviewer和CitNetExplorer的文献计量分析和可视化,本研究确定了用于混合学习的信息和通信技术领域的前十大被引作者、组织、国家、来源和关键词,为未来的研究提供了有意义的参考。大多数研究报告称,基于信息和通信技术的混合学习可以改善学习效果和环境,尽管先前的一些研究揭示了许多挑战。此外,鉴于现有的元分析方法在建立引文网络的最长路径上,本研究提出了探索ict辅助混合学习的主要研究方法。提出了今后的研究方向。
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引用次数: 0
Collaborative Writing in the Intelligence Community 情报界的协作写作
IF 1.7 Q3 Computer Science Pub Date : 2023-06-09 DOI: 10.4018/ijec.324110
Hongyang Liu, Byungsoo Kim, Sharon M. B. Joines
With new and evolving technology and ever-increasing remote collaboration, intelligence reporting processes are at a crossroads. Key questions about how best to collaboratively produce reports to get the right information to the right decision-makers in the right context are more important than ever. This research project has attempted to address one part of the puzzle: How can reports be produced collaboratively? In this article, throughout two studies, the researchers documented the processes of report generation and consumption as well as assessed three collaborative writing strategies to gain valuable research data and to aid analysts with collaborative reporting, improve collaboration, and advance reporting methodology within the Intelligence Community.
随着新技术的不断发展和远程协作的不断增加,情报报告流程正处于十字路口。关于如何最好地合作编制报告,以便在正确的背景下向正确的决策者提供正确的信息的关键问题比以往任何时候都更重要。这个研究项目试图解决难题的一部分:如何协同制作报告?在这篇文章中,在两项研究中,研究人员记录了报告生成和使用的过程,并评估了三种协作写作策略,以获得有价值的研究数据,并帮助分析师进行协作报告,改善协作,并在情报界推进报告方法。
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引用次数: 0
A Study of Lencioni's Model of Dysfunctional Groups Lencioni的功能失调群体模型研究
IF 1.7 Q3 Computer Science Pub Date : 2023-04-14 DOI: 10.4018/ijec.321557
A. Aggarwal
Personnel is an organization's most important resource, and it is important to manage them properly to provide maximum benefit to organizations. Many employees work in teams to create value. In the digital age, diverse teams are becoming the new norm. Diversity may be due to ethnicity, gender, culture, sexuality, or due to task-related knowledge, skills, opinions, and perspective differences. Many groups become productive over time, but some groups also become dysfunctional. This paper examines groups that work together and ultimately become dysfunctional to the extent that they have to be reassigned or dismantled. The authors use a three-stage model to explore why this happens. They use widely accepted Lencioni's five functional characteristics to study dysfunctional teams. In addition, they argue Lencioni's model should be revised to include an additional layer of lack of functional expertise. A revised Lencioni's model is proposed, and future research areas are also discussed. Managers should follow this model while creating groups to use resources at max.
人员是一个组织最重要的资源,正确管理人员以为组织提供最大利益是很重要的。许多员工组成团队来创造价值。在数字时代,多元化的团队正在成为新的常态。多样性可能是由于种族、性别、文化、性取向,也可能是由于与任务相关的知识、技能、观点和视角差异。随着时间的推移,许多群体变得富有成效,但有些群体也变得功能失调。本文考察了那些协同工作并最终变得功能失调,以至于不得不被重新分配或解散的群体。作者使用一个三阶段模型来探究为什么会发生这种情况。他们使用被广泛接受的Lencioni的五个功能特征来研究功能失调的团队。此外,他们认为Lencioni的模型应该进行修订,增加一层缺乏功能专业知识的因素。提出了一个修正的Lencioni模型,并对未来的研究方向进行了讨论。管理者在创建组以最大限度地使用资源时应遵循此模式。
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引用次数: 0
SACRED: Software Approach for Collaboration and Research Dissemination SACRED:协作和研究传播的软件方法
IF 1.7 Q3 Computer Science Pub Date : 2023-01-06 DOI: 10.4018/ijec.315782
L. Colaco, Arun S. Nair, Anurag Madnawat, B. Raveendran
Collaborative research is an opportunity to bring creative minds together and blend multiple disciplines to churn out innovative solutions. In this era of massive social media and information overload, a streamlined process framework with best practices and procedures is a requirement for genuine scientific collaboration. The main aim of this work is to bring forth a software-centric framework for harmonizing research. SACRED is the outcome of experiences gained during the development of ‘ARMS'-An Analysis Framework for Mixed Criticality Systems. ARMS is a collaborative platform to disseminate research and literature in real-time mixed criticality systems. ARMS is hosted on Amazon Amplify with the user interface implemented using the ReactJS framework. SACRED summarizes the software-centric process, practices and procedures followed, and renders it for similar collaborations in the future.
合作研究是一个将创造性思维聚集在一起,融合多个学科以产生创新解决方案的机会。在这个大规模社交媒体和信息超载的时代,一个具有最佳实践和程序的精简流程框架是真正的科学合作的必要条件。这项工作的主要目的是提出一个以软件为中心的框架来协调研究。SACRED是在“ARMS”(混合临界系统的分析框架)开发过程中获得的经验的结果。ARMS是一个协作平台,用于传播实时混合临界系统的研究和文献。ARMS托管在Amazon Amplify上,用户界面使用ReactJS框架实现。SACRED总结了以软件为中心的过程、实践和遵循的程序,并将其呈现给未来类似的协作。
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引用次数: 0
Feature Selection Using Elephant Herd Principal Component Optimization Technique in Big Data Streams Using Internet of Things 基于象群主成分优化技术的物联网大数据流特征选择
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.304041
N. GayathriDevi, K. Manikandan
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引用次数: 0
Design of an Optimal Deep Learning-Based Self-Healing Mechanism With Failure Prediction Model for Web Services 基于深度学习的Web服务自愈机制及故障预测模型设计
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.304375
P. Rajeswari, K. Jayashree
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引用次数: 0
A Cluster-Based Routing Protocol for WSN Based on Mahalanobis Distance and AODV Protocol 基于Mahalanobis距离和AODV协议的WSN集群路由协议
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.304376
S. PavithraG., N. Babu
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引用次数: 0
Massive Open Online Courses 大规模在线公开课程
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.299001
Ebba S. I. Ossiannilsson
The purpose of this study was to investigate MOOCs as an open gateway for ongoing learning opportunities to scholars, institutions and academics. MOOCs are now being offered in the field of archives and records management (ARM) by several institutions. The justification was the opportunities to ARM institutions in Eswatini since constraints of inadequate ARM lecturers, inadequate education and training institutions, low skills levels, the paucity of funds and limited infrastructure, serve as barriers to the effective delivery of ARM education. This study provides the first perspective from a developing country like Eswatini. It explains the concept of MOOC and it's present role in ARM, such that, potential intercontinental collaboration could strengthen teaching and research. A survey design was adopted to collect the views of ARM professionals to assess there understanding and interest in MOOCs. The study revealed great interest among ARM professionals regarding further study through MOOCs, although the adoption of this learning method in Eswatini is still a rarity.
本研究的目的是调查MOOC作为学者、机构和学术界持续学习机会的开放门户。目前,一些机构正在档案和记录管理领域提供MOOC。理由是斯威士兰的ARM机构有机会,因为ARM讲师不足、教育和培训机构不足、技能水平低、资金匮乏和基础设施有限等制约因素阻碍了ARM教育的有效实施。这项研究为斯威士兰这样的发展中国家提供了第一个视角。它解释了MOOC的概念及其目前在ARM中的作用,这样,潜在的洲际合作可以加强教学和研究。采用调查设计收集ARM专业人士的意见,以评估他们对MOOC的理解和兴趣。这项研究表明,ARM专业人士对通过MOOC进行进一步学习非常感兴趣,尽管这种学习方法在斯威士兰仍然很少见。
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引用次数: 1
Ontology-Based Knowledge Modelling for Food Supply Chain Data Representation 基于本体的食品供应链数据表示知识建模
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.299009
There has been a lack of common data management and encoding standards, as well as an inability to connect products to the many stages of their transformation process. This paper proposes a Food Supply Chain Ontology to help in the management of food traceability at various phases of the supply chain, from the extraction of raw materials to the delivery of goods to customers. Traceability has the potential to be a game-changer in the industry since it is inextricably linked to product safety and quality. Integrating the semantic web into the food supply chain enhances planning, forecasting, productivity, and competitiveness. Most of the research papers concentrate on conveying knowledge about one food type while neglecting the other food categories. Furthermore, these articles did not represent knowledge about all stages of the food supply chain. This paper proposes and implements a food supply chain ontology. During the management of the entire food supply chain stages, the suggested ontology describes all types of food products.
缺乏通用的数据管理和编码标准,也无法将产品与其转换过程的许多阶段连接起来。本文提出了一个食品供应链本体,以帮助管理供应链各个阶段的食品可追溯性,从原材料的提取到货物的交付给客户。可追溯性有可能改变行业的游戏规则,因为它与产品安全和质量密不可分。将语义网集成到食品供应链中可以提高计划、预测、生产力和竞争力。大多数研究论文都集中在传达一种食物的知识,而忽略了其他食物类别。此外,这些文章并不代表关于食品供应链所有阶段的知识。本文提出并实现了一个食品供应链本体。在整个食品供应链管理阶段,建议的本体描述了所有类型的食品。
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引用次数: 0
Automated Math Symbol Classification Using SVM 使用支持向量机的自动数学符号分类
IF 1.7 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijec.304037
K. Vaidehi, R. Manivannan
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引用次数: 0
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International Journal of e-Collaboration
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