Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.

Gamified Learning Systems’Personalized Feedback Report Dashboards via Custom Machine Learning Algorithms and Recommendation Systems

Gamification in education enables for the holistic optimization of the learning process,empowering learners to ameliorate their digital,cognitive,emotional and social skills,via their active experimentation with game design elements,accompanying pertinent pedagogical objectives of interest.This paper focuses on a cross-platform,innovative,gamified,educational learning system product,funded by the Hellenic Republic Ministry of Development and Investments:howlearn.By applying gamification techniques,in 3D virtual environments,within which,learners fulfil STEAM(Science,Technology,Engineering,Arts and Mathematics)-related Experiments(Simulations,Virtual Labs,Interactive Storytelling Scenarios,Decision Making Case Studies),howlearn covers learners’subject material,while,simultaneously,functioning,as an Authoring Gamification Tool and as a Game Metrics Repository;users’metrics are being,dynamically,analyzed,through Machine Learning Algorithms.Consequently,the System learns from the data and learners receive Personalized Feedback Report Dashboards of their overall performance,weaknesses,interests and general class competency.A Custom Recommendation System(Collaborative Filtering,Content-Based Filtering)then supplies suggestions,representing the best matches between Experiments and learners,while also focusing on the reinforcement of the learning weaknesses of the latter.Ultimately,by optimizing the Accuracy,Performance and Predictive capability of the Personalized Feedback Report,we provide learners with scientifically valid performance assessments and educational recommendations,thence intensifying sustainable,learner-centered education.

SmartMind Dashboard Builder开发及应用

介绍了一款北京化工大学自主研发的用于BI的数据分析可视化工具SmartMind Dashboard Builder。该工具基于Web2.0RIA技术,为开发者和浏览者定制最简易操作,无需编程,可快速构建Dashboard页面,图表组件丰富,布局功能强大;具有良好的开放性,提供多种数据源支持:支持各种关系数据库、XMLA及远程方法调用;提供在线监控功能,实时动态显示数据,帮助用户快速发现数据的异常状况并及时寻求解决方案。选取不同领域的几个典型应用实例,用以说明该工具的易用性和实用性。

最好的Windows shell——Dashboard 2.01

试着说出一个操作系统的名字,它既能满足用户的所有要求,又能为用户提供更多的试用工具,这就是Win-dows.最优秀的工具软件都是建立在这个平台上的,它们要么提供一个改善的界面和一些附加的维护工具,要么提供一些被Windows程序员轻易疏忽的功能.我们可以按自己喜欢的方式选用它们,但要用就用最好的.这里为大家介绍力夺94MVP应用程序大奖(Most ValuableProduct的缩写,意思是最有价值的产品。

基于ArcGIS Dashboard的新冠肺炎疫情实时监控系统设计

根据疫情监控的特点,采用大数据分析,基于ArcGIS Dashboard设计实现一个可视化、可交互的全球疫情实时监控系统,及时、有效地获取2019冠状病毒病(COVID-19)疫情的发展情况。该系统强调快速便捷地在线动态展示疫情的全球范围内的分布情况,实时统计分析疫情的空间分布,动态显示各国家和地区疫情的严重程度和全球疫情的发展趋势,在一定程度上推动疫情监控工作的发展。

Digital Dashboards for Smart City Governance: A Case Project to Develop an Urban Safety Indicator Model

This paper illustrates a case project to design a digital dashboard for governing the urban safety of an Italian city and proposes a methodology for the definition of a set of safety measurement indicators. Results show that the method is easy to be used to identify the most crucial areas of the city, in several domains of application that have been identified. The study can substantially support policy makers in the development of their strategies and in the measurement of the effectiveness of their decisions.

Man-machine Relationship Analysis Based on Dashboard Similar Structure Design

Dashboard similar structure design is a kind of interactive design of ergonomics and industrial design, and also the consistency design of functional features and visual organization effect of dashboard. Functional feature design of dashboard is the analysis of man-machine interface, and visual organization effect design of dashboard is a branch of industrial design, both of them interact and unite.

A Comparison of Several Performance Dashboards Architectures

A performance dashboard is a full-fledged business information system that is built on a business-intelligence and data- integration infrastructure. It has been one of the most hot research topics. Now many corporations have involved in the performance dashboard Architectures related techniques and many performance dashboard Architectures have been put forward. This is a favorable situation to study and application of performance dashboard related techniques. Though interesting, there are also some problems for so many Architectures forms. For to a novice or user with little knowledge about performance dashboard Architectures, it is still very hard to make a reasonable choice. What differences are there for different performance dashboard Architectures and what characteristics and advantages each has? To answer these problems, the characteristics, architectures and applications of several popular performance dashboard Architectures are analyzed and discussed in detail. From the comparison of these Architectures, users can better understand the different performance dashboard Architectures and more reasonably choose what they want.

The Use of Sputum Dashboard and Dispatch Riders in Mitigating Delay in Sputum Samples’ Processing—Evidence from an Intervention in Lagos State, Nigeria

The act of referring TB presumptive individuals after verbal screening to another health facility/diagnostic centres for testing often results in large loss to follow-up, owing to the many barriers people face in accessing care. The transportation of sputum samples is an efficient method of increasing access to tuberculosis (TB) diagnostics in areas where testing is not currently available. One of the major reasons for the low yield of TB cases in the field was delay in sputum sample transportation to diagnostic laboratories among other factors. Damien Foundation Belgium, carried out a unique sputum riders initiatives in 20 LGAs of Lagos state between Q3-2019 and Q4-2020. A total of 25 sputum dispatch riders across the 20 LGAs in the State who are monitored routinely on an electronic dashboard were engaged for sputum logistics. Therefore, this report highlights how the initiatives have contributed to increased TB case notification in a densely populated metropolitan city in Nigeria. Overall, 48,265 units of sputum samples were transported to the laboratory from the facilities 99.9% of results which were received from the laboratory by the dispatch riders. The contribution of sputum riders to the overall TB case detection by the project progressively increased from 9% when the intervention began to 57% as at Q4 2020. The transportation of sputum samples by motorcycle dispatch riders is an efficient method of increasing access to TB diagnostic services in communities where testing is not currently available.

谁会笑到最后——冷眼观看Dashboard与konfabulator的是与非

苹果最新系统中的亮点功能：Dashboard在WWDC上吸引了全世界用户的眼球．然而很多用户感觉Dashboard与konfabulator似乎有着非常相似的一面．那么它们到底有什么关系或者区别呢？下面我们就为您揭开它们各自的面纱。

优秀的工具软件Dashboard 2.0

您是否有这样的经历,因为需要做许多事,就在Windows 3.X中打开了众多程序,几个窗口叠加在一起,常常找不到想要的那个窗口,恨不得多几个显示器屏幕来按排您的工怍。如果您有了Dashboard 2.0软件,情况就不同了。 Dashboard 2.0是一个非常棒的Windows的外壳程序软件,由惠普公司提供。它采用一个极为简单的Windows程序管理器的替代品和少量的非常有用的工具来增加Windows的功能:它允许单击鼠标启动应用程序,通过把文件拖曳到图标上进行快速打印,以及监视系统的资源。Dashboard 2.0安装盘为一张1.44M软盘,安装到硬盘上也仅占2M空间,它还可以通过REMOVE图标进行安全卸载(最后只需要手工将 DASHZAP.EXE从Windows路径下删除)。

Dashboard——Windows XP下的唯美盛宴

一、美丽不凡 凭着华丽、精致的外表，苹果的OSX系统俘虏了无数人的心，但对于大多PC用户来说．只因喜好而购买一台Mac是不现实的。因此．仿真苹果软件系统的皮肤模拟器受到了不少人青睐。可惜这些模拟器大多徒有其表．单纯是外观模仿，实用性却很差。

基于RGB模型的汽车指针仪表示数的识别

本文对汽车指针仪表示数的识别,提出了一种基于RGB彩色空间图像处理的识别方案。首先,根据仪表盘图像的R、G、B分量的直方图,利用该分量的欧几里德距离法分割仪表盘的圆心和指针;然后,提取圆心的骨架和圆心的坐标,建立新的坐标系;最后,将指针的质心和仪表盘的圆心连成一条直线,通过直线位置识别指针读数。实验证明:该方法可用于指针式汽车仪表的自动化测试。

仪表板开发模式的优化

随着汽车行业的蓬勃发展,各汽车主机厂都在不断加快新产品的布局,期望能以最快的速度推出新车型。仪表板作为汽车内饰最重要的零部件之一,以其涉及工艺多、投资大、开发周期长等特点,常常成为整车开发过程中的瓶颈,尤其是在年度改型车等项目上,极大限制了新车型上市的速度。针对以上情况,文章基于模块化思维,将模块化开发模式运用到仪表板开发中,极大地缩短项目开发周期,减少人员和项目资金的投入。

i2dash:Creation of Flexible,Interactive,and Web-based Dashboards for Visualization of Omics Data

Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data.A suitable visualization has to be intuitive and accessible.Web-based dashboards have become popular tools for the arrangement,consolidation,and display of such visualizations.However,the combination of automated data processing pipelines handling omics data and dynamically generated,interactive dashboards is poorly solved.Here,we present i2dash,an R package intended to encapsulate functionality for the programmatic creation of customized dashboards.It supports interactive and responsive(linked)visualizations across a set of predefined graphical layouts.i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline,thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand.In addition,the generic design of i2dash enables the development of modular extensions for specific needs.As a proof of principle,we provide an extension of i2dash optimized for single-cell RNA sequencing analysis,supporting the creation of dashboards for the visualization needs of such experiments.Equipped with these features,i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities.Along this line,we provide i2dash as a containerized solution,enabling a straightforward large-scale deployment and sharing of dashboards using cloud services.i2dash is freely available via the R package archive CRAN(https://CRAN.R-project.org/package=i2dash).

基于深度学习的可视化仪表板生成技术研究

仪表板是支持制造企业开展数据可视化分析和经营决策的重要手段。为解决可视化仪表板设计与实现过程中用户对专业知识依赖性强及流程迭代繁杂的问题,提出了一种基于深度学习技术YOLOv5s算法的可视化仪表板自动识别与生成方法。首先,基于YOLOv5s算法对仪表板图像及手绘草图中包含的可视化图表组件进行检测,并针对在检测过程中出现的手绘草图中不规则线条对识别图表的干扰及误检等问题,引入CA注意力机制来增强模型对重要特征的关注及目标精确定位能力,从而提高模型的识别精度;其次,将图表检测模型部署在Web中,服务器根据模型检测结果调用封装好的可视化图表组件代码,生成多组件组合的初始仪表板;最后,基于此Web设计,开发了一款数据可视化仪表板构建平台,为用户提供可修改配置仪表板样式及数据的详细选项,以方便用户快速构建完整的仪表板。通过收集Tableau,Power BI等可视化工具产生的仪表板图像及企业应用过程中手绘仪表板草图形成数据集,基于该数据集进行实验验证,改进的模型识别精度比原YOLOv5s模型提升了2.1%,mAP为98.4%,并通过系统部署应用验证了图表识别方法及开发的平台可有效识别及生成相应图表组件,满足用户的基本需求。

学习分析仪表盘应用影响因素及策略研究

通过设计和开发的学习分析仪表盘在教学中的应用,利用UTAUT探索了学生接受和持续使用学习分析仪表盘的影响因素。结果发现:可视化的内容及形式、绩效期望、态度、社会影响是仪表盘使用意向的重要影响因素;促进条件和行为意向共同决定学生使用仪表盘的具体行为;努力期望对态度和行为意向均没有影响。最后提出了促使学习可视化分析仪表盘获得成功的设计策略和使用策略。

实训室排课数据仪表板的设计与实现

为了及时展示实训室排课信息、快速洞察数据背后的实训室管理问题,有必要设计一个能清晰传达实训室排课数据的可视化仪表板。本文提出了一个实训室排课数据仪表板的设计与展示方案,利用Excel直观的界面和丰富的计算功能,对实训室排课数据进行有效的挖掘与处理,运用多种图表工具和PPT演示功能实现排课数据仪表板的呈现。实际的运作结果表明,采用此方案设计的实训室排课数据仪表板有利于管理者有效推动解决实训室教学管理问题,提升了实训室管理效能。