将分布式结对编程作为一种有效的团队学习活动:系统综述。

IF 4.5 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Computing in Higher Education Pub Date : 2023-02-15 DOI:10.1007/s12528-023-09356-3
Fan Xu, Ana-Paula Correia
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引用次数: 0

摘要

在 COVID-19 大流行的后高峰时代,在线学习已成为一种必然趋势,分布式结对编程(DPP)在教育界和工业界的发展势头日益强劲。分布式结对编程是一种协作式编程方法,同时也有利于培养计算思维,这是当今世界的一项基本技能。本研究对 2010 年之后发表的有关 DPP 的研究进行了系统回顾,以了解影响 DPP 团队效率的主题和因素,从而为未来的研究和实践提供参考,以更好地利用这种方法进行教学。结果表明,在所选的 23 项研究中,个人特征吸引了主要的调查,包括先前的编程经验、实际技能、感知技能、性别、个性、时间管理、自信和自尊,配对兼容性被认为是显著影响程序员满意度的关键团队设计因素。虽然我们对团队过程中的 "好感 "因素进行了调查,但并未发现其有明显影响。在团队环境主题下,我们比较了对定位(如脚本角色)和技术使用(如集成开发环境工具)的不同意见。未来的研究应探讨任务结构如何影响 DPP 的团队效率,以及与计算思维教育的关系。此外,由于大多数研究都是在高等教育背景下进行的,因此还需要在中小学教育背景下开展更多研究。
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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Adopting distributed pair programming as an effective team learning activity: a systematic review.

As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study conducted a systematic review of studies on DPP published after 2010 to understand the themes and factors that impact the team effectiveness of DPP and thus inform future research and practices on how to better leverage this approach for teaching and learning. The results showed that individual characteristics attracted major investigations in the selected 23 studies, including prior programming experience, actual skill, perceived skill, gender, personality, time management, confidence, and self-esteem, with pair compatibility identified as a critical team design factor that significantly affects programmers' satisfaction. Although the feel-good factor in the team process was investigated, no significant impact was found. Under the team environment theme, we compared different opinions on the orientation (e.g., scripted roles) and the use of technology (e.g., integrated development environment tools). Future research should investigate how task structure influences team effectiveness of DPP and relates to computational thinking education. Additionally, because most studies were conducted in higher education contexts, more research in primary and secondary educational contexts is also needed.

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来源期刊
Journal of Computing in Higher Education
Journal of Computing in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.10
自引率
3.60%
发文量
40
期刊介绍: Journal of Computing in Higher Education (JCHE) contributes to our understanding of the design, development, and implementation of instructional processes and technologies in higher education. JCHE publishes original research, literature reviews, implementation and evaluation studies, and theoretical, conceptual, and policy papers that provide perspectives on instructional technology’s role in improving access, affordability, and outcomes of postsecondary education.  Priority is given to well-documented original papers that demonstrate a strong grounding in learning theory and/or rigorous educational research design.
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