OPT+Graph:基于程序可视化工具的图数据结构检测以支持学习

Habibie Ed Dien, Yudistira Dwi Wardhana Asnar
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引用次数: 2

摘要

本文介绍了基于web的程序可视化工具OPT+Graph,该工具支持用c语言学习编程图数据结构。主要贡献是在程序可视化工具上实现图形数据结构的可视化。评估可视化使用了在线测验的四个主要阶段。第三阶段是评价的核心阶段。第三阶段有仿真1和仿真2两个子阶段。在模拟1中,被调查者先使用原始OPT工具再使用OPT+Graph工具;第二步,他们使用了OPT+图形工具,然后是原始的OPT工具。在最后阶段,他们在没有任何工具的情况下完成了在线测试。这是验证评估可视化的关键。最后,我们在本工作中发现:1)基于邻接矩阵表示、边数组和邻接表数组的可视化图数据结构检测技术;2)在模拟1中,21个被调查者中有11个有52.38%的人使用OPT+Graph工具得到了有效和高效的结果,在模拟2中有14个有66.67%的人成功有效和高效地解决了问题;3) OPT+Graph是免费的开源软件,可在github.com/habibieeddien/optplusgraph上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPT+Graph: Detection of Graph Data Structure on Program Visualization Tool to Support Learning
This paper presents OPT+Graph, a web-based program visualization tool to support learning programming graph data structure in C. This tool is developed based on pythontutor.com (OPT). The main contribution is visualization graph data structure on program visualization tool. An evaluation visualization used four main stages with the online quiz. However the third stage is a core of evaluation. The third stage has two sub-stage that is simulation 1 and simulation 2. In the simulation 1, the respondents using original OPT tool then OPT+Graph tool; and the simulation 2, they using OPT+Graph tool then original OPT tool. In the last stage, they completed the online quiz without any tools. It is key for validate an evaluation visualization. Finally, we have found in this work: 1) detection technique of graph data structure for visualization based on representation of adjacency matrix, array of edges, and array of adjacency list in C source code; 2) in the simulation 1, there were about 52,38% from 11 of 21 respondents have effective and efficient results using OPT+Graph tool, and about 66,67% from 14 of 21 respondents successfully solve the problem effectively and efficiently in the simulation 2; and 3) OPT+Graph is free and open source software, available at github.com/habibieeddien/optplusgraph.
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