Algorithm Learning by Comparing Visualized Behavior of Programs

Abstract

It is said that visualizing the behavior of programs is an effective way for novice programmers to understand algorithms. Based on discussions with teachers of programming subjects, it was suggested that learners could deepen their understanding of algorithms by comparing visualizations of programs. This paper proposes learning processes to understand algorithms by comparing two figures. In addition, we develop a system that provides supporting functions for comparisons. Our experimental results show that the learning process using our systems is an effective way for novice programmers to understand algorithms.