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Adopting distributed pair programming as an effective team learning activity: a systematic review.

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Journal of Computing in Higher Education
|February 23, 2023
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Summary
This summary is machine-generated.

Distributed pair programming (DPP) enhances computational thinking skills. Pair compatibility significantly impacts programmer satisfaction, though team process factors showed no significant effect in this systematic review.

Keywords:
Collaborative learningComputational thinkingDistributed pair programmingSTEM educationSystematic reviewTeam learning

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Area of Science:

  • Computer Science Education
  • Software Engineering Pedagogy
  • Human-Computer Interaction

Background:

  • Online learning is prevalent post-COVID-19, increasing the relevance of distributed pair programming (DPP).
  • DPP is a collaborative method beneficial for developing computational thinking skills.
  • Understanding factors influencing DPP team effectiveness is crucial for educational and industrial applications.

Purpose of the Study:

  • To systematically review studies on distributed pair programming (DPP) published after 2010.
  • To identify key themes and factors impacting DPP team effectiveness.
  • To inform future research and practices for optimizing DPP in teaching and learning.

Main Methods:

  • Systematic literature review of DPP studies.
  • Analysis of 23 selected studies published after 2010.
  • Thematic analysis of factors influencing team effectiveness, individual characteristics, and team environment.

Main Results:

  • Individual characteristics (experience, skill, gender, personality, confidence) were extensively studied.
  • Pair compatibility emerged as a critical team design factor significantly affecting programmer satisfaction.
  • Team process factors, such as the 'feel-good factor,' showed no significant impact on effectiveness.

Conclusions:

  • Individual attributes and pair compatibility are significant in DPP effectiveness.
  • Further research is needed on task structure's influence on DPP effectiveness and computational thinking.
  • Expanded research in primary and secondary education contexts is recommended due to the current higher education focus.