When computer scientists discuss the computational complexity of, for example, finding the shortest path from building A to building B in some town or city, their starting point typically is a formal description of the problem at hand, e.g., a graph with weights on every edge where buildings correspond to vertices, routes between buildings to…

Students are frequently presented with novel visualizations introducing scientific concepts and processes normally unobservable to the naked eye. Despite being unfamiliar, students are expected to understand and employ the visualizations to solve problems. Domain experts exhibit more competency than novices when using complex visualizations, but…

This paper presents research findings related to the "Dynamic Enhanced Evaluation of Problem Solving (DEEP)" (Spector & Koszalka, 2004) methodology for assessing how participants conceptualize ill-defined problems in biology using annotated concept maps. The methodology engages highly experienced (expert) and less experienced…