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Is Pair Programing in Higher Education a Good Strategy?

Authors: Sobral, Sónia Rolland;

Is Pair Programing in Higher Education a Good Strategy?

Abstract

Pair programming is by definition two-person programming on the same computer. The technique has been used in many higher education institutions and has been reported in some scientific articles, usually for introductory to programming courses. The aim of this article is to make a situation report analyzing the scientific production on pair programming for curricular units of introduction to programming in higher education, measuring the advantages and disadvantages of the strategy. The sample was composed by 153 articles indexed in Elsevier’s Scopus. The results obtained by bibliometric analysis showed the publication rates, authors, in which journals they are published, which are the organizations and countries that publish the most, which are the most cited articles and what their purpose. The benefits reported are generally better code, improved programming and group skills, advantages for women and reducing the work of instructors. The problems are group compatibility: there are studies that randomly distribute pairs, while other use personality tests or knowledge self-assessment.

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Keywords

Pair programming, Introduction to programming, Higher Education, CS1

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
gold