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Unclear role of task-level expertise in predicting time on task

Determine why self-reported expertise with Google’s data logging infrastructure and self-reported C++ language proficiency did not significantly predict time on task in the randomized controlled trial’s enterprise-grade coding task.

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Background

The authors’ regression analyses included task-level covariates for domain expertise (data logging infrastructure) and language proficiency (C++), neither of which significantly predicted time on task.

They explicitly note that it is unclear why these task-level factors were not significant, suggesting follow-up research to examine potential explanations such as sample homogeneity.

References

It is unclear why expertise with the task domain and coding language were not significant predictors of time spent on task.

How much does AI impact development speed? An enterprise-based randomized controlled trial (2410.12944 - Paradis et al., 16 Oct 2024) in Section: Discussion and implications