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Assessment of Teamwork Competencies among Computing Students in Collaborative Software Engineering Projects

Jul 2026 · IEEE International Conference on Engineering of Complex Computer Systems · pp. 1-5 · 0 citations · 22 references

Abstract

Collaborative software development has become an essential component of computing education, where students are expected to work effectively in teams while completing complex academic projects. This study assessed the level of teamwork competencies among computing students engaged in collaborative software engineering activities. A survey dataset consisting of 631 respondents and 39 variables was analyzed to evaluate five key teamwork dimensions: task responsibility, communication, coordination, quality assurance, and technical collaboration. Descriptive statistics and reliability analysis were employed to determine the overall competency level and internal consistency of the measurement instrument. Results revealed that students demonstrated a high level of teamwork competency (M = 4.00, SD = 0.56) across all dimensions. Among the measured factors, quality assurance (M = 4.12) and communication (M = 4.10) obtained the highest ratings, while technical collaboration (M = 3.86) received the lowest mean score. The instrument showed excellent reliability with an overall Cronbach’s alpha of 0.938, confirming its suitability for evaluating teamwork behaviors in collaborative academic environments. Findings provide baseline insights for future studies exploring predictive models of teamwork performance using machine learning and learning analytics approaches.

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