Exploring the role of visualization and engagement in computer science education

TLDR

Visualization technology can graphically illustrate various computer science concepts. The authors argue that visualization technology is only educationally valuable when it engages learners, and they propose a new taxonomy of engagement and a framework for experimental studies. They review experimental studies, use Bloom’s taxonomy to define engagement metrics, and propose a framework for evaluating visualization effectiveness. Educators are invited to collaborate by conducting studies using the proposed framework.

Abstract

Visualization technology can be used to graphically illustrate various concepts in computer science. We argue that such technology, no matter how well it is designed, is of little educational value unless it engages learners in an active learning activity. Drawing on a review of experimental studies of visualization effectiveness, we motivate this position against the backdrop of current attitudes and best practices with respect to visualization use. We suggest a new taxonomy of learner engagement with visualization technology. Grounded in Bloom's well-recognized taxonomy of understanding, we suggest metrics for assessing the learning outcomes to which such engagement may lead. Based on these taxonomies of engagement and effectiveness metrics, we present a framework for experimental studies of visualization effectiveness. Interested computer science educators are invited to collaborate with us by carrying out studies within this framework.