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Examining Student Performance and Attitudes on Distributed Pair Programming

机译:审查分布式对编程的学生绩效和态度

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摘要

Pair programming (PP) has become popular in the research and software industry as well as being studied for a number of years in computer science courses with positive findings on student performance and attitudes. Advantages of PP reported in the literature are satisfaction, design quality, code productivity, team building, and communication. More recently, distributed pair programming (DPP), which enables two programmers to work remotely, has also attracted the interest of researchers and instructors. The difference between DPP and PP is that the former allows geographically distributed teams to collaborate and share program code. Such collaboration is, thus, only feasible if an underlying infrastructure supports all necessary interactions. The integrated development environments (IDEs) for DPP should cover the basic requirements for remote software development as well as address common PP problems, such as unequal contributions from each member of a pair, feedback during DPP sessions, and communication problems. This paper presents the findings of a study on student performance and attitudes towards DPP in an object-oriented programming (OOP) course. The factors examined were student performance, in terms of assignment grade, exam grade and implementation time in relation to students’ programming experience, and confidence, as well as student attitudes towards DPP, i.e., the feelgood factor, working alone or with a partner, and the perception of their partner’s technical competence. The results suggest that a students’ performance is associated with their programming experience and confidence in programming but not with how comfortable they feel during DPP sessions. Students evaluate the DPP sessions positively regardless of their confidence on programming or their perception of their partners’ technical competence. Students who consider themselves to have about the same programming competence as their partners tend to be more satisfied with DPP sessions. Overall, students prefer working with a partner regardless of their confidence on programming.
机译:配对编程(PP)在研究和软件行业中变得流行,并在计算机科学课程中研究了多年的学生表现和态度的积极发现。 PP在文献中报告的优点是满意,设计质量,代码生产力,团队建设和沟通。最近,分布式对编程(DPP),它使两个程序员能够远程工作,也吸引了研究人员和教师的兴趣。 DPP和PP之间的差异是前者允许地理分布式团队协作和共享程序代码。因此,如果基础基础设施支持所有必要的相互作用,则这种协作只能可行。 DPP的集成开发环境(IDE)应涵盖远程软件开发的基本要求以及地址常见的PP问题,例如来自一对中每个成员的不等贡献,DPP会话期间的反馈和通信问题。本文介绍了对面向对象编程(OOP)课程的学生绩效和对DPP态度的研究。审查的因素是学生表现,就学生编程经验和信心以及对DPP的学生态度以及单独工作或与合作伙伴一起工作的学生态度以及对伴侣的技术能力的看法。结果表明,学生的表现与他们的编程经验和对编程的信心有关,但在DPP会话期间的感受有多舒适。无论他们对编程的信心还是对合作伙伴的技术能力的感知,学生就会积极评估DPP会话。认为自己具有与合作伙伴相同的节目能力的学生往往对DPP会话更加满意。总体而言,学生更愿意与合作伙伴合作,无论他们对编程的信心。

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