COMPREHENSION OF LINKED LIST DIAGRAMS: THE EFFECTS ON CODE WRITING SKILLS

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
U. Obaidellah, Aznul Qalid Md Sabri, Erma Rahayu Mohd Faizal, Yin Kia Chiam
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Abstract

The use of graphics has a tendency to aid reasoning in program solving by improving novice programmers’ ability to read and write code. This study extends existing work in computer programming on the use of diagrammatic representation for students undertaking the fundamental data structure course (CS2) in Malaysia. Students were tested on comprehension of diagrams followed by the composition of code with respect to the linked list topic. The data was assessed using the inter-rater agreement test and showed a high degree of consistent ratings. Results showed a moderate correlation between students’ ability to analyze list operations in the form of notation and performance on code writing. Students assessed the diagrams differently according to the complexity level. The result can be generalized to conclude that the use of diagrams alone may not fully support reasoning and program solving. However, some types of diagrams are potentially more effective to support code composition and more emphasis should be given to evaluating the effectiveness of diagrams in organizing cues to facilitate novice programmers in program solving. Further investigation on a combination of activities related to comprehension of diagrams, including code reading and explanation prior to code writing, is recommended.
对链表图的理解:对代码编写技能的影响
图形的使用有助于通过提高新手程序员读写代码的能力来帮助程序求解中的推理。这项研究扩展了现有的计算机编程工作,为在马来西亚学习基础数据结构课程(CS2)的学生使用图解表示。测试学生对图表的理解,然后是关于链表主题的代码组成。使用评分者间一致性测试对数据进行评估,并显示出高度一致的评分。结果显示,学生以符号形式分析列表操作的能力与代码写作表现之间存在适度的相关性。学生根据复杂程度对图表进行不同的评估。结果可以概括为,单独使用图表可能无法完全支持推理和程序求解。然而,某些类型的图可能更有效地支持代码组合,并且应该更加重视评估图在组织线索方面的有效性,以便于新手程序员解决程序。建议对与理解图表相关的活动组合进行进一步调查,包括在编写代码之前阅读代码和解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Malaysian Journal of Computer Science
Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
2.20
自引率
33.30%
发文量
35
审稿时长
7.5 months
期刊介绍: The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication.  The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus
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