JSAV: the JavaScript algorithm visualization library

Learning abstract concepts in data structures and algorithms (DSA) courses is often difficult for students. To improve understanding of DSA topics, numerous algorithm visualization (AV) systems and stand-alone AVs have been developed, supporting a wide range of algorithms and different engagement strategies. Prior studies show that active engagement of students is necessary to make AVs educationally effective. In this paper, we introduce JSAV, a new JavaScript framework for creating engaging algorithm visualizations with active learning features. JSAV is meant to be used with HTML5-based online learning materials. We describe the special features of JSAV that support active learning, and discuss its potential for use in online education projects