IJIET 2020 Vol.10(12): 911-916 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.12.1478

Is Pair Programing in Higher Education a Good Strategy?

Sónia Rolland Sobral

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.

Index Terms—Pair programming, CS1, introduction to programming, higher education.

Sónia Rolland Sobral is with the REMIT – Universidade Portucalense, Porto, 4200 Portugal (e-mail: sonia@upt.pt).

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Cite: Sónia Rolland Sobral, "Is Pair Programing in Higher Education a Good Strategy?," International Journal of Information and Education Technology vol. 10, no. 12, pp. 911-916, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net