Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …

Natural language descriptions sometimes accompany visualizations to better communicate
and contextualize their insights, and to improve their accessibility for readers with …

Visual analytics enables us to analyze huge information spaces in order to support complex
decision making and data exploration. Humans play a central role in generating knowledge …

In this paper we present a learning analytics conceptual framework that supports enquiry-
based evaluation of learning designs. The dimensions of the proposed framework emerged …

In the information age, a person's ability to read and make data visualizations is nearly as
important as being able to read and write text. This article reports the results of a multi-phase …

Researchers and developers of learning analytics (LA) systems are increasingly adopting
human-centred design (HCD) approaches, with growing need to understand how to apply …

Although significant progress has been made toward effective insight discovery in visual
sense making approaches, there is a lack of effective and efficient approaches to manage …

The uptake and consumption of Linked Data is currently restricted almost entirely to the
Semantic Web community. While the utility of Linked Data to non-tech savvy web users is …

Writing or sketching on whiteboards is an essential part of collaborative discussions in
business meetings, reading groups, design sessions, and interviews. However, prior work in …

Data visualization and analytics research has great potential to empower people to improve
their lives by leveraging their own personal data. However, most quantified selfers (Q …