This article reports on an in-depth study that investigates barriers to network exploration with visualizations. Network visualization tools are becoming increasingly popular, but little is known about how analysts plan and engage in the visual exploration of network data-which exploration strategies they employ, and how they prepare their data, define questions, and decide on visual mappings. Our study involved a series of workshops, interaction logging, and observations from a 6-week network exploration course. Our findings shed light on the stages that define analysts' approaches to network visualization and barriers experienced by some analysts during their network visualization processes. These barriers mainly appear before using a specific tool and include defining exploration goals, identifying relevant network structures and abstractions, or creating appropriate visual mappings for their network data. Our findings inform future work in visualization education and analyst-centered network visualization tool design.

During experiments with electric circuits, students often make mistakes. To handle these situations, remote laboratories such as VISIR (Virtual Instruments Systems in Reality) rely on error-handling mechanisms, which do not always cover all errors. This article seeks to extend a previously published work when trying to assimilate all possible errors in alternated current circuits with a single power supply and a single passive component. The goal is to build an errors’ map with all possible errors, covering all circuits that can be assembled in VISIR, from the simplest to the most complex. This allows limiting misconceptions during theoretical and practical understanding are limited.