Exploring and managing the abundance of data that Learning Analytics generate is a challenge for both teachers and students. This paper introduces a Learning Dashboard that provides an overview, context and content of learner traces to help students with awareness of feedback and progress, and assist teachers with monitoring student effort and outcomes to intervene where needed.

In this work, we introduce a novel visualization technique, the Temporal Intensity Map, which visually integrates data values over time to reveal the frequency, duration, and timing of significant features in streaming data. We combine the Temporal Intensity Map with several coordinated visualizations of detected events in data streams to create PhysioEx, a visual dashboard for multiple heterog...

This work aims to describe how EHRs have been used meet the needs of healthcare providers and researchers in a 1,300-beds tertiary Hospital during COVID-19 pandemic. For this purpose, essential clinical concepts were identified standardized with LOINC SNOMED CT. After that, these implemented EHR systems based on them, data tools, such as alerts, dynamic patient lists follow-up dashboard, develo...

One of the considered business opportunities that exploit the geographical aspect is the branch office expansion. However, this activity still has some problems to learn various location criteria, either in quantitative or qualitative form. Moreover, there is a need to analyze those criteria quickly to get a proper location priority that will be expanded. Therefore, this research develops a sem...

The article presents a method to the development of a dashboard for large-scale lectures (more than 100 students) based on information derived from educational IT-applications, which play an increasingly important role in the field of university education. Via mobile devices, IT-applications enable students to interact with lecturers as well as their fellow students in large-scale settings, e.g...

This paper aims to propose, via an experimental collaborative decision support method, to define a grid of indicators and a reference situation database to measure the sustainable performance of urban logistics pooling systems. To do this, we start by defining the notion of sustainability in the 4As approach, after what we identify the main sustainability indicators from an overview of the lite...

Business performance modeling and model-driven business transformation are two research directions that are attracting much attention lately. In this study, we propose an approach for dashboard development that is model-driven and can be integrated with the business performance models. We adopt the business performance modeling framework, and we extend it in order to capture the reporting aspec...

In this paper we present a recently started research project called DashGov. The aim of this project is to develop an integrated instrument for the evaluation and improvement of the performance of e-government applications, based on indepth and systematic measurement and knowledge of user demands. This dashboard will be used for both preand postlaunch evaluation of e-government applications (on...

Managing a city with its different departments, resources and assets can be a challenging problem especially when considering the dynamic events (fire, traffic accidents, 911 calls, road closures, etc. ...) that take place each day. The overall performance of how a city is performing depends on the efficiency of different departments. Taking into account that the needed information resides in t...