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Adopting distributed pair programming as an effective team learning activity: a systematic review
1Department of Educational Studies, College of Education and Human Ecology, The Ohio State University, 1900 Kenny Rd., Columbus, OH 43210 USA.
Journal of Computing in Higher Education
|February 23, 2023
Summary
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.
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.
Keywords:
Collaborative learningComputational thinkingDistributed pair programmingSTEM educationSystematic reviewTeam learningMore Related Videos
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