VEUPL's past and present
projects include the following:
Effective Algorithm Visualization Artifacts—For his dissertation
research, Chris Hundhausen explored the empirical support for, and
the design implications of, an alternative theory of effectiveness
for algorithm visualization rooted in social constructivist learning
Algorithms Studio—Funded by a National Science Foundation
CAREER Award, we are developing a studio-based curriculum, rooted
in visualization-based algorithm design and analysis exercises, for
undergraduate computer science courses on algorithms and data structures.
The Algorithm Animation
Repository [no project web site yet]—Chris
Hundhausen is collaborating with an international board of researchers
on the development of a searchable web repository of materials and
technology for algorithm animation.
project web site]—Funded by a National Science Foundation
grant to Dan Suthers, this project explores the hypothesis that features
of visual representations guide the attentional focus and discourse
of collaborating learners in measurable, meaningful ways.
Empirical studies of
software engineering [no project web site yet]—In
a project just underway with Philip Johnson of the Collaborative
Software Development Lab, we are considering ways of measuring
programmer activity, with the ultimate goal of supporting that
activity through automated tools.