Extending Program Visualization System Based on Teacher’s Intent of Instruction to Support Learning Dynamic Data Structures

Abstract

In this paper, we describe an extension of TEDViT, the program visualization system that can reflect teachers’ intent of instruction to support learning dynamic data structures. We extend TEDViT to enable the definition of drawing rules using values of target program variables and pointers corresponding to the execution status when the rule is fired. The evaluation results reveal that our extension could significantly reduce the amount of drawing rules and the time required for defining program visualizations. It suggests that our approach would support program visualizations with dynamic data structures to a certain degree.