Elearning, Communication and Open-data: Massive Mobile, Ubiquitous and Open Learning

ABSTRACT: In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided

ECO D2.5 Learning analytics requirements and metrics report

In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided.Part of the work carried out has been funded with support from the European Commission, under the ICT Policy Support Programme, as part of the Competitiveness and Innovation Framework Programme (CIP) in the ECO project under grant agreement n° 21127

Open Data

Open data is freely usable, reusable, or redistributable by anybody, provided there are safeguards in place that protect the data’s integrity and transparency. This book describes how data retrieved from public open data repositories can improve the learning qualities of digital networking, particularly performance and reliability. Chapters address such topics as knowledge extraction, Open Government Data (OGD), public dashboards, intrusion detection, and artificial intelligence in healthcare

Business Intelligence within Large Companies - Challenges and Maturity

Purpose: The purpose of the thesis is to create a Business Intelligence maturity model based on eight examined operational BI propositions. Furthermore it is to explore the recognition level and business impact of these propositions. Methodology: The work process consisted of an initial explorative phase where a theoretical framework was created based on literature research. Founding on that the maturity model was developed, and then further tested in a survey. The survey also examined the recognition level of the propositions. To explore the business impact of the propositions three in depth interviews were held. Conclusion: The main conclusions in the project are that the eight examined propositions are common challenges among large Scandinavian companies. The developed maturity model covers these challenges and can be used by organizations to see where they are at in their maturity curve and what the next step in the maturity process is. The higher the BI maturity is, the less recognized the propositions are. The recognition level of propositions and the BI maturity impact the business success, and the BI maturity among large Scandinavian companies is somewhat moderate. Other conclusions are that a well functioning BI environment is essential for any large organization since it enables the achieving of strategic goals such as efficient and effective processes. However, efficientBI-­processes and a functioning IT landscape can be difficult to establish, especially for large companies. There are extensive amounts of data to process, the implementation costs are high, and the needed change management resources are often overlooked

Adaptive dashboard for IoT environments: application for senior residences

Les tableaux de bord sont de puissants outils électroniques qui peuvent fournir des informations exploitables et utiles pour une intervention rapide et une prise de décision éclairée. Ils peuvent être particulièrement bénéfiques pour favoriser un vieillissement en bonne santé en fournissant aux professionnels de la santé un aperçu en un coup d'œil des conditions du patient (par exemple, les personnes âgées). Alors que la population des personnes âgées augmente dans plusieurs pays, dont le Canada, un grand nombre d'entre eux seront forcés de déménager dans des résidences pour personnes âgées pour des raisons telles que la fragilité, la démence ou le sentiment de solitude. Cette population importante de personnes âgées augmentera la charge de travail des infirmières et des professionnels de la santé travaillant dans ces lieux, en raison du fait que les personnes âgées ont besoin de visites fréquentes et d'une surveillance en raison de leur état de santé. Ce problème a le potentiel de mettre plus de pression sur le système de santé déjà tendu dans les prochaines années. La pénurie d'infirmières et de main-d'œuvre rend la situation plus grave, en particulier dans les pays développés. Il faudrait donc prendre des initiatives pour soutenir les soignants de ces résidences. Le tableau de bord peut jouer un rôle clé pour aider les professionnels de la santé dans leurs tâches car il peut fournir des informations en un coup d'œil et en temps réel sur la situation actuelle. De nos jours, avec les progrès technologiques dans les dispositifs de détection et l'infrastructure IoT ainsi qu'un accès Internet élargi, la surveillance des patients à distance est devenue une option réalisable. Par ailleurs, en utilisant un tableau de bord, les professionnels de la santé peuvent visualiser les informations collectées à distance pour surveiller les personnes âgées vivant dans des résidences, ce qui fera gagner un temps considérable aux professionnels de la santé et les aidera à servir plus de patients. Cependant, il est important de considérer que les résidences pour personnes âgées accueillent généralement un grand nombre de résidents et les professionnels de la santé qui les desservent. Chaque professionnel de la santé est motivé par certains objectifs et exécute des tâches précises selon des priorités différentes. Cette différence change la façon dont chaque fournisseur de soins de santé utilisera le tableau de bord, car ils ont besoin d'informations qui les aident dans leurs tâches principales. Les informations qu'un groupe de professionnels de la santé trouve bénéfiques peuvent ne pas être utiles pour un autre groupe. Ainsi, la méthode de visualisation utilisée pour un individu peut ne pas être significative pour un autre. Par conséquence, les informations doivent être présentées de manière personnalisée et adaptée à un utilisateur ciblé. Il est important de souligner que la visualisation appropriée des informations dans les tableaux de bord est un facteur clé pour offrir une valeur réelle aux utilisateurs. Cette diversité de besoins, de préférences et de priorités doit être prise en compte tout au long de l'élaboration du tableau de bord. En raison de la diversité des rôles et des intérêts existant dans les résidences pour personnes âgées, et compte tenu du coût élevé du développement du tableau de bord, il est très difficile de développer des tableaux de bord séparés pour chaque partie. Cependant, les solutions existantes dans la littérature sont développées à l'aide de méthodes statiques et se concentrent sur la satisfaction des besoins d'un groupe particulier. Ces approches limitent les capacités des tableaux de bord existants à s'adapter aux besoins des différentes personnes. Dans cette étude, nous présentons AMI-Dash comme une tentative de réalisation d'une solution de tableau de bord qui permet une conception dynamique et une visualisation appropriée des informations pour plusieurs groupes. Notre solution vise à fournir les bonnes informations aux bonnes personnes en minimisant le temps nécessaire pour fournir un tableau de bord aux professionnels la santé, afin de les aider dans l'exercice de leurs fonctions en accédant à des informations exploitables. Nous avons également évalué notre solution sous deux aspects : l'évaluation de l'interaction homme-machine et l'évaluation technique. Le résultat de notre évaluation montre que la solution proposée peut satisfaire à la fois les exigences de l'utilisateur final et les exigences techniques tout en maintenant un haut niveau de satisfaction.Abstract: Dashboards are powerful electronic tools that can provide actionable insights for timely intervention and wise decision-making. They can be particularly beneficial to support healthy aging by providing healthcare professionals with at-a-glance overview of health conditions of patients (e.g., older adults). As the population of older adults is increasing in several countries including Canada, a large number of them will be forced to move to Senior Residences due to reasons like frailty, dementia or loneliness. This swelled senior population will increase the workload of nurses and health professionals working in these places, due to the fact that older adults need frequent visits and monitoring because of their health condition. This issue has the potential to put more pressure on the already stretched healthcare system in the next years. The situation is aggravated when it is coincided with the shortage of nurses and workforce especially in developed countries. Therefore, initiative should be taken to support healthcare professionals in these residences. Dashboard can play a key role to support healthcare professionals in their tasks as it can provide real-time information about the current situation in more helpful visualization form. Nowadays, with technological advancements in sensing devices and IoT infrastructure along with broadened internet access, remote patient monitoring has become a feasible option. By utilizing a dashboard, healthcare professionals can visualize information collected remotely to monitor patients/ older adults living in senior residences, which will save a considerable time of healthcare professionals and support them to serve more patients. However, it is important to consider that senior residences usually host a large number of older adults and healthcare professionals that serve them. Each healthcare professional is driven with certain goals, and they have different tasks and priorities. This difference, change how each healthcare professional will utilize the dashboard, as they need information that helps them in their main tasks. The information that a group of healthcare professionals find beneficial might not be useful for another group, and the visualization method used for an individual might not be meaningful for another. Therefore, information should be presented in a personalized way to the targeted user. It is important to emphasize that appropriate visualization of interesting information, in dashboards is a key factor to deliver real value to dashboard users. Due to the variety of roles and interests that exists in senior residences, and considering high development cost of a dashboard, developing separate dashboards for each party is not only difficult but also time consuming. Still, existing solutions in the literature are developed using static methods and they focused on satisfying the needs of a particular group in their domain. These approaches limited the capabilities of existing dashboards to adapt to the needs of different people. We argue that dashboard has to be tailored in order to address the diversity in needs, preferences and priorities of healthcare professionals. In this study we introduce AMI-Dash as an attempt to achieve a dashboard solution that allows dynamic design and information visualization. Our solution focused on providing the right information to the right people while minimizing the time required to deliver a dashboard to health professionals, so that supporting them in performing their duties by accessing timely and actionable information. We also evaluated our proposed solution from two aspects: Human-Computer Interaction Evaluation and Technical Evaluation. The result of our evaluation shows that proposed solution can satisfy both end-user and technical requirements while maintaining a high-level of satisfaction among users

Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience

Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was centered around urban-based data and thus did not provide the full-picture of vulnerabilities present in rural counties for stakeholders to consider when proactively planning for pandemics and making policies in regards to mitigation. To bridge the gap of urban and rural data availability, our team developed two interactive COVID-19 risk assessment dashboards using a 3-step design process that included identifying dashboard functionality based on the goals of stakeholders, collecting COVID-19 risk factor data, and selecting the appropriate type of dashboard visualizations in order for stakeholder needs to be met. Database processes were also created to promote a dynamic design in which risk factors can be easily updated, added, and removed from the risk assessment as COVID-19 progresses and more evidence is collected, keeping the risk assessment relevant. Using our dashboards, users can create customized risk assessments based on six categories of risk: susceptibility, transmission, accessibility, socioeconomic, health culture, and exposure, and geospatially visualize risk throughout counties with the ability to apply a rural/urban filter. Users can also drill-down to a specific county and learn about the prevalence and magnitude of 87 risk factors while looking for spatial trends and how counties with specific risk profiles were affected by COVID-19. A usability study was conducted to ensure that our platform is meaningful and can be easily navigated to aid with pandemic mitigation, healthcare planning, and research. An optimized version of this tool would not only help with planning for COVID-19 variants, future pandemics, and research in Missouri, but also be applied to all states of the United StatIncludes bibliographical references

Fraud and Performance Monitoring of Credit Card Tokenization Using Business Intelligence

This project major objective is to gather all the necessary data to analyze and deliver a best analytical reporting platform. This product developed for the analysts is expected to extensively use for insights on the token provisioning and its varied utilization with the banks and merchants. Also to monitor fraudulent occurring patterns and initiate necessary steps to avoid facing any adversities in the future. The reports are generated using the principles supporting descriptive analytics. Using many different KPIs, metrics and scorecards, etc., to support the analysis has given an advantage for better yield. These analytical dashboard has given a deep dive insight for the analysts. This project has been used by many analysts to come to an agreement on different patterns noticed by each individual. Also for the Senior Executives to get a profound understanding of how the widely different tokenization are used and its different attribute wise segregation

Microsoft Garage: Modernizing Data Processing at the Museum

The Hall of Human Life exhibit at the Museum of Science in Boston generates thousands of data points per day at its interactive kiosks but does not leverage modern software tools to store and analyze the nearly 10 million records. As part of the Microsoft Garage project lab, we built a prototype system allowing the Museum to host all their data in the cloud with Microsoft Azure, monitor the exhibit in real-time with a Power BI operations dashboard, and automatically detect hardware failures with an anomaly detection system in Azure Machine Learning

Development of a Database-Driven Management System for Retail Food Packaging Eye Tracking Studies

Within the past three years, approximately two hundred one-off studies have occurred in developing eye tracking methodologies for quantifying consumer attention on packaging design preference. Due to restricted time and resources, most research analyzes consumer attention regarding a relatively small amount of products within specific planogram. However, larger questions concerning category trends and insights are not possible with these smaller, one-off studies. Broad data aggregation and analysis is important for understanding packaging design per product category in order to understand category-wide design trends and insights. Considering the excessive effort in manual data retrieval, analysis, and reporting, a method that can improve efficiency and data aggregation would be of tremendous benefit to all researchers studying consumer behavior on relevant product categories. Ultimately, the application of the relational database management system fits this need. The work herein describes a procedure of developing a database-driven management system for retail food packaging eye tracking studies and the data analytics. A relational database of eye tracking studies associated with a web portal was designed and created to aggregate, store, access, share, and analyze eye tracking data based on studies in an immersive retail environment. The comparison between this system and the file-based methods was discussed, includes eye tracking study procedure, data usage efficiency, and data analysis methodology. This body of work covers 14 eye tracking projects in aggregate, involving 34 planograms comprised of a total of 421 consumer product goods. When using this database-driven system compared to the traditional file-based process in terms of time, it was found that the developed system reduced the time of the eye tracking study process by 48%

A critical analysis of an IoT—aware AAL system for elderly monitoring

Abstract A growing number of elderly people (65+ years old) are affected by particular conditions, such as Mild Cognitive Impairment (MCI) and frailty, which are characterized by a gradual cognitive and physical decline. Early symptoms may spread across years and often they are noticed only at late stages, when the outcomes remain irrevocable and require costly intervention plans. Therefore, the clinical utility of early detecting these conditions is of substantial importance in order to avoid hospitalization and lessen the socio-economic costs of caring, while it may also significantly improve elderly people's quality of life. This work deals with a critical performance analysis of an Internet of Things aware Ambient Assisted Living (AAL) system for elderly monitoring. The analysis is focused on three main system components: (i) the City-wide data capturing layer, (ii) the Cloud-based centralized data management repository, and (iii) the risk analysis and prediction module. Each module can provide different operating modes, therefore the critical analysis aims at defining which are the best solutions according to context's needs. The proposed system architecture is used by the H2020 City4Age project to support geriatricians for the early detection of MCI and frailty conditions