Our ability to visualize scientific data has evolved significantly over the last 40 years. However, this advancement does not necessarily alleviate many common pitfalls in visualization for scientific journals, which can inhibit the ability of readers to effectively understand the information presented. To address this issue within the context of visualizing environmental data, we list ten guid...

We show how data visualization and modeling tools can be used with human input to improve student models. We present strategies for discovering potential flaws in existing student models and use them to identify improvements in a Geometry model. A key discovery was that the student model should distinguish problem steps requiring problem decomposition planning and execution from problem steps r...

With hundreds of millions of users worldwide, forensic data extraction from social networks has become an important research problem. However, forensic data collection is tightly connected to social network operators, which leads to problems related to data completeness and data compatibility. This paper discusses the important data sources and analytical methods for the forensic analysis of so...

Sophisticated design tools should ‘understand’ the methods underlying the design process, not only in terms of syntax but in terms of the semantics of design ‘elements’ and ‘steps’ and their relations, etc. Despite the need for such ‘comprehensive method support’, at present only few design tools support much more than the syntax of design elements; most graphical tools mingle design methods an...

Annotation is a key operation for developing understanding of complex data or extended spaces. We have developed a flexible set of annotation tools that can be placed in a variety of applications. These tools offer a full set of capabilities for inserting, iconizing, playing back, and organizing annotations in a virtual space. They also have an intuitive and easy-to-use interface for employing ...

Understanding data is a crucial 21st century skill for students in STEM education. At the core of the latest science and math standards is the principle that students should be able to apply real world science and engineering principles to work with and understand data. Here, we discuss three styles of integrating collaborative data analysis and exploration in the classroom using a webbased dat...